About

Jingyue Liu received his bachelor's degree in metal physics from the University of Science and Technology Beijing, China, and his PhD in condensed matter physics from Arizona State University under the guidance of Professor John M. Cowley. He was a postdoctoral research associate and research scientist in the LeRoy-Eyring Center for Solid State Science at ASU before joining Monsanto Corporate Research as a research specialist and group leader in 1994. After a series of promotions, he was appointed as a Science Fellow of Monsanto in 2000 and a Senior Science Fellow in 2003 for sustained outstanding technical leadership and significant impacts on Monsanto's businesses. He received the prestigious 2001 Edgar M. Queeny Award for Science and Technology, the highest award within Monsanto for scientific achievement and business impact. In 2006, he joined the University of Missouri-St. Louis as the director of the Center for Molecular Electronics and Professor of Physics and Chemistry, and in 2007 became the founding director of the Center for Nanoscience. He joined Arizona State University in 2011 as professor of physics and became a Fellow of the Microscopy Society of America in 2012. Professor Liu's research group focuses on the fundamental understanding of the synthesis-structure-performance relationships of nanostructures and nanostructured systems. They develop and utilize aberration-corrected electron microscopy techniques, including imaging, diffraction, and spectroscopy, to understand the synthesis processes of nanoscale materials, their unique properties, and their applications in energy conversion and storage, heterogeneous catalysis, and sensing. His group is developing single-atom catalysts for the production of energy or chemicals, synthesizing carbon and oxide nanostructures to improve the performance of supercapacitors and batteries, and exploring novel technologies for environmental remediation. One of the key research goals of Professor Liu's group is to understand the formation processes of nanostructures to develop scalable synthesis methodologies for manufacturing better-controlled nanostructures tailored for desired applications. Another research goal is to understand the charge generation and transfer processes in nanostructures and nanoarchitectured systems.

Research topics

• Chemistry
• Organic chemistry
• Inorganic chemistry
• Nanotechnology
• Materials science
• Chemical engineering
• Computational chemistry
• Metallurgy
• Crystallography
• Photochemistry
• Engineering

Selected publications

• Favorable coronary outcomes following IL-6 blockade with tocilizumab in IVIG-resistant kawasaki disease: a case series

  Frontiers in Immunology · 2026-01-29

  articleOpen access

  Objective: To evaluate the efficacy and coronary outcomes of tocilizumab (TCZ) in patients with intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD), and to place these findings against the conflicting available evidence. Methods: We retrospectively analyzed four patients with IVIG-resistant KD who received TCZ as rescue therapy. Clinical, laboratory, and echocardiographic data (coronary artery Z-scores) were collected before and after treatment. Results: All patients received a second dose of IVIG before TCZ administration, however, symptoms did not improve. Following TCZ administration (median 15.5 days from onset), all patients achieved normothermia within 24 hours, accompanied by rapid normalization of inflammatory markers. Notably, no new coronary artery lesions (CALs) were identified after treatment. Additionally, in the two patients with pre-existing CALs, complete resolution of coronary dilation was observed during follow-up. No drug-related adverse events occurred. Conclusion: In this series, late administration of TCZ during the subacute phase was associated with a rapid anti-inflammatory response and favorable coronary remodeling, including aneurysm regression. This outcome contrasts with previous reports of coronary dilation following earlier intervention. Critically, these observations lead us to propose a "phase-dependent efficacy" hypothesis: the timing of IL-6 blockade relative to disease stage may be a critical determinant of coronary outcomes. This hypothesis underscores the need to consider the disease phase when evaluating IL-6 blockade for refractory KD.

  PublisherOA PDFDOI

• Case Report: Telitacicept in the treatment of cSLE-APS: novel therapeutic perspectives on autoimmune thrombotic diseases in children

  Frontiers in Immunology · 2026-02-06

  articleOpen access1st authorCorresponding

  Thrombotic antiphospholipid syndrome (APS) in Childhood-onset systemic lupus erythematosus (cSLE) remains a therapeutic frontier. Here, we report the first case of telitacicept (a TACI-Fc fusion protein)- induced remission in cSLE related antiphospholipid syndrome (cSLE-APS), where targeted dual BAFF(B cell-activating factor)/APRIL(a proliferation-inducing ligand) inhibition resolved life-threatening infarctions and achieved sustained disease control. During treatment, corticosteroids were successfully discontinued within six months, and a lupus low disease activity state (LLDAS) was maintained. Our findings indicate that telitacicept's unique ability to regulate B-cell activity could target the dual pathology of cSLE-APS, offering a new therapeutic approach for this serious condition.

  PublisherOA PDFDOI

• The effect of levodopa on speech graphs in non-demented patients with multiple system atrophy and Parkinson’s disease

  Frontiers in Neurology · 2026-02-09

  articleOpen access1st authorCorresponding

  Background An objective topological analysis for any arbitrary network was provided by graph theory, which was implemented to reveal topological properties of brain networks in a wide range of neurodegenerative diseases. Objectives To investigate the difference of the topology of speech graphs among parkinsonian-type multiple system atrophy patients (MSA-P), idiopathic Parkinson’s disease (PD) patients, and healthy controls (HC). To explore the effect of levodopa on the topology of speech graphs in MSA-P and PD patients. Methods We applied a graph analysis of topology of speech graphs in MSA-P patients ( N = 39), idiopathic PD patients ( N = 51), and HC ( N = 51). All participants were assessed by a well-established semantic fluency test (animal). Participants’ verbal reactions were listed and represented as speech graphs with directionality. Results MSA-P patients mentioned more about their memory and remaining time than PD patients ( p < 0.001) and HC ( p < 0.001). Moreover, MSA-P patients’ speech graphs exhibited fewer nodes (PD: p = 0.004; HC: p < 0.001), higher density (PD: p = 0.007; HC: p < 0.001), smaller diameter (PD: p = 0.004; HC: p < 0.001), and smaller average shortest path (PD: p = 0.002; HC: p < 0.001) than both PD patients and HC. Compared with PD patients and healthy adults, the MSA-P patients generated denser and smaller speech graphs. Importantly, in MSA-P, the positive correlations between levodopa equivalent daily dose and diameter ( r = 0.39, p = 0.017) and average shortest path ( r = 0.38, p = 0.017) were obtained, suggesting that higher levodopa doses were associated with producing sparser and larger speech graphs in MSA-P patients. However, there was no significant correlation between levodopa equivalent daily dose and graph indices in PD patients. Conclusion MSA-P patients’ speech graphs were denser and smaller than both PD patients and healthy adults. The graph analysis of semantic fluency can differentiate MSA-P from PD to some extent. Importantly, in MSA-P patients, the impaired speech topology can be partially restored by levodopa.

  PublisherOA PDFDOI

• Deeper affection, more consumptions: consumer decision-making among people with different levels of intimacy—evidence from fNIRS

  Cerebral Cortex · 2025-02-01 · 6 citations

  article

  Consumer decision-making varies according to an individual's relationship with the recipient of the gift. This study used a mock purchase task to investigate consumer decision-making and its underlying neurological mechanisms when purchasing gifts of different prices for recipients with varying levels of intimacy. Functional near-infrared spectroscopy was used to record neural activity during the task. Behavioral results found that the lover group had a much higher purchasing rate than the friend group, particularly when acquiring premium products. Analysis of the functional near-infrared spectroscopy data found that neural activity in the dorsolateral prefrontal cortex and orbitofrontal cortex decreased when items were discounted, with lower activation in the dorsolateral prefrontal cortex in lovers during the purchasing of premium products. Furthermore, we identified significant differences in functional connectivity between the dorsolateral prefrontal cortex and orbitofrontal cortex under different conditions. We compared the support vector machine algorithm and logistic regression, finding that logistic regression better predicts purchasing tendencies based on neuroactivation levels. In our view, a stronger emotional connection leads to a more rewarding experience for consumers when buying premium products. This study reveals the impact of intimate relationships on consumer decision-making and provides guidance for businesses in developing marketing strategies targeted at the lover's market.

  PublisherDOI

• Lung Function Improvement in Bronchial Asthma: A Study of Sublingual Immunotherapy

  Pediatric Discovery · 2025-09-28

  articleOpen access

  ABSTRACT This is a retrospective study. In order to investigate the effect of specific immunotherapy on the improvement of lung function and symptoms in children with bronchial asthma, 256 children with bronchial asthma were selected and divided into an experimental group and a control group according to whether they chose to use sublingual specific immunotherapy or not. The control group was given basic drug therapy, and the experimental group was given specific immunotherapy on the basis of basic drug therapy. Differences between the two groups were compared in terms of lung function, efficacy, and asthma medication dose. The results showed that peak expiratory flow (PEF), maximum expiratory flow at 25% of forced vital capacity (MEF 25 ), maximal mid‐expiratory flow curve (MMEF), maximum expiratory flow at 75% of forced vital capacity (MEF 75 ), maximum expiratory flow at 50% of forced vital capacity (MEF 50 ), and airway hyperresponsiveness improved in both groups after 1 year of treatment ( P < 0.05), and the result of experimental group was better than that of the control group ( P < 0.05). This study shows that sublingual specific immunotherapy combined with inhaled corticosteroid therapy has positive therapeutic effects on asthma patients, which can reduce the dose of medication used in asthma patients and improve symptoms.

  PublisherOA PDFDOI

• Clinical efficacy of electroacupuncture antagonistic muscles combined with rehabilitation training in the treatment of spastic hemiplegia after stroke: a systematic review and meta-analysis of randomized controlled trials

  Frontiers in Neurology · 2025-08-08 · 3 citations

  reviewOpen access1st author

  Objective Antagonistic muscles rehabilitation training has been extensively utilized in the rehabilitation of patients with spastic hemiplegia. With the increasing acceptance and application of acupuncture, numerous scholars have discovered that incorporating electroacupuncture combined with antagonistic muscles rehabilitation training can enhance the treatment for spastic hemiplegia after stroke. The objective of this study is quantify the clinical efficacy of electroacupuncture in treating spastic hemiplegia after stroke on the basis of antagonistic muscles rehabilitation training, provide insights for future clinical treatments and scientific investigations related to spastic hemiplegia. Methods We searched eight Chinese and English databases to identify clinical randomized controlled trials investigating the efficacy of electroacupuncture antagonistic muscles combined with rehabilitation training for the treatment of spastic hemiplegia after stroke. The search period extended from the inception of each database up to April 4, 2025. Two researchers independently reviewed the literatures, extracted relevant data, and assessed the risk of bias using the Cochrane Risk of Bias Tool. Results A total of 8 literatures were selected from an initial pool of 1,680 for the purpose of meta-analysis. The findings indicated that the combination of electroacupuncture antagonistic muscles with rehabilitation training significantly alleviates muscle spasms in hemiplegic limbs [MD = –0.52,95%CI (−0.91, −0.13), p = 0.36, I 2 = 0%, Z = 2.6, p < 0.05], enhances daily living capabilities [MD = 6.31,95%CI (3.91,8.71), p = 0.02, I 2 = 59%, Z = 5.15, p < 0.05], improve motor function [MD = 9.9,95%CI (8.25,11.55), p = 0.2, I 2 = 33%, Z = 11.75, p < 0.05]. Furthermore, we discovered that when the wave type and frequency of electroacupuncture are low frequency intermittent waves, electroacupuncture antagonistic muscles combined with rehabilitation training can effectively improve the lower limb motor function of hemiplegic patients. [MD = 10.52,95%CI (8.66,12.37), p = 0.89, I 2 = 0%, Z = 11.11, p < 0.05], and electroacupuncture combined with Bobath technique is better than combined with conventional rehabilitation training. Conclusion The integration of electroacupuncture treatment with antagonist muscle rehabilitation training can effectively alleviate muscle spasms, reduce muscle tension, and enhance lower limb motor function as well as daily living abilities.

  PublisherOA PDFDOI

• Forewarned Is Forearmed: The Single- and Dual-Brain Mechanisms in Detectors from Dyads of Varying Social Distance during Deceptive Outcome Evaluation

  Journal of Neuroscience · 2025-09-15 · 1 citations

  articleOpen access

  Preventing deception requires understanding how lie detectors process social information across social distance. Although the outcomes of such information are crucial, how detectors evaluate gains or losses from close versus distant others remains unclear. Using a sender-receiver paradigm and functional near-infrared spectroscopy hyperscanning, we recruited 66 healthy adult dyads (32 male and 34 female dyads) to investigate how perceived social distance modulates the neural basis in receivers (the detector) during deceptive gain/loss evaluation. The results showed that detectors were more prone to deception in gain contexts, with these differences mediated by connectivity in risk evaluation (dorsolateral prefrontal cortex, DLPFC), reward-processing (orbitofrontal cortex, OFC), and intention-understanding regions (frontal pole area). Hyperscanning analyses revealed that friend dyads exhibited higher interpersonal neural synchrony (INS) in these regions than stranger dyads. In gain contexts, friend dyads showed enhanced INS in the OFC, whereas in loss contexts, enhanced INS was observed in the DLPFC. Trial-level analysis revealed that the INS during the current trial effectively predicted the successful deception of that trial. We constructed a series of regression models and found that INS provides superior predictive power over single-brain measures. The INS-based support vector regression model achieved an accuracy of 86.66% in predicting deception. This indicates that increased trust at closer social distances reduces vigilance and fosters relationship-oriented social information processing. As the first to identify INS as a neural marker for deception from the detector's perspective, this work advances interpersonal deception theory and offers a neuroscientific basis for credit risk management.

  PublisherOA PDFDOI

• Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering

  Applied Sciences · 2025-05-15 · 4 citations

  articleOpen access

  Facing engineering challenges of real-time and high-precision recognition of strongly heterogeneous formations during directional drilling, it is crucial to address the issues of sparse lithology geological labels and multi-source lithology identification from LWD data. This paper proposes a real-time intelligent recognition method for strongly heterogeneous formations based on multi-parameter logging while drilling and drilling engineering, which can effectively guide directional drilling operations. Traditional supervised learning methods rely heavily on extensive lithology labels and rich wireline logging data. However, in LWD applications, challenges such as limited sample sizes and stringent real-time requirements make it difficult to achieve the accuracy needed for effective geosteering in strongly heterogeneous reservoirs, thereby impacting the reservoir penetration rate. In this study, we comprehensively utilize LWD parameters (six types, including natural gamma and electrical resistivity, etc.) and drilling engineering parameters (four types, including drilling rate and weight on bit, etc.) from offset wells. The UMAP algorithm is employed for nonlinear dimensionality reduction, which not only integrates the dynamic response characteristics of drilling parameters but also preserves the sensitivity of logging data to lithological variations. The K-means clustering algorithm is employed to extract the deep geo-engineering characteristics from multi-source LWD data, thereby constructing a lithology label library and categorizing the training and testing datasets. The optimized CatBoost machine learning model is subsequently utilized for lithology classification, enabling real-time and high-precision geological evaluation during directional drilling. In the Hugin Formation of the Volve field in the Norwegian North Sea, the application of UMAP demonstrates superior data separability compared with PCA and t-SNE, effectively distinguishing thin reservoirs with strong heterogeneity. The CatBoost model achieves a balanced accuracy of 92.7% and an F1-score of 89.3% in six lithology classifications. This approach delivers high-precision geo-engineering decision support for the real-time control of horizontal well trajectories, which holds significant implications for the precision drilling of strongly heterogeneous reservoirs.

  PublisherOA PDFDOI

• Causal relationship between schizophrenia and five types of dementia: A bidirectional two-sample Mendelian randomization study

  PLoS ONE · 2025-05-08 · 2 citations

  articleOpen access

  BACKGROUND: Although observational research indicates an association between schizophrenia and dementia, it is unclear whether the two are causally related. In order to examine the causal relationship between schizophrenia and five types of dementia (all-cause dementia, Alzheimer's disease, vascular dementia, frontotemporal dementia, and dementia with Lewy bodies), we performed a bidirectional two-sample Mendelian randomization analysis. METHODS: In this study, pooled statistics of schizophrenia and dementia were obtained from the Large-scale genome-wide association study (GWAS) in individuals of European ancestry. Inverse variance weighted (IVW) was the primary statistical approach used in this Mendelian randomization, to further support our findings, we also used MR-Egger, weighted median, and cML-MA. We also used a number of sensitivity analyses to evaluate pleiotropy and heterogeneity. RESULTS: In the study of the effect of schizophrenia on dementia, findings from the IVW analysis suggested that schizophrenia is associated with an increased risk of all-cause dementia (OR = 1.065, 95%CI: 1.027 ～ 1.104, P = 0.001, FDR-corrected P = 0.003), Alzheimer's disease (OR = 1.029, 95%CI: 1.003 ～ 1.054, P = 0.027, FDR-corrected P = 0.045), and vascular dementia (OR = 1.106, 95%CI: 1.023 ～ 1.197, P = 0.012, FDR-corrected P = 0.029). In the study of the effect of dementia on schizophrenia, no form of dementia assessed in this study was found to be a risk factor for schizophrenia. CONCLUSION: Our findings suggest that schizophrenia may be a risk factor for all-cause dementia, Alzheimer's disease, and vascular dementia, but no dementia of any kind was found to be a risk factor for schizophrenia. Our study provides insights into the potential genetic relationship between schizophrenia and dementia.

  PublisherDOI

• Crystallinity of Cerium Oxide Dictates Reactivity of Platinum Catalysts

  Nano Letters · 2025-02-10 · 18 citations

  articleCorresponding

  The reactivity of supported metal catalysts can be influenced by the nature of supports, which synergistically activate reactant molecules with metal sites. The investigation of the crystalline effect of CeO2 remains unclear because of the easy formation of fluorite-structure CeO2. Here, we successfully synthesized CeOx clusters with distinct crystallinity and established that the crystalline nature of CeOx clusters dictates the reactivity of the Pt/CeOx catalysts for CO oxidation. Specifically, Pt clusters supported on crystalline CeOx exhibited a specific CO conversion rate approximately 15-fold higher than those on amorphous CeOx at temperatures of 120 to 140 °C. Detailed experimental investigations and simulations revealed that the enhanced CO oxidation reactivity originates from the higher mobility of lattice oxygen and more labile oxygen species on crystalline CeOx nanoclusters. This work deepens our understanding of crystallinity-dependent redox properties of nanoscale oxide supports and opens new routes for designing better metal catalysts for targeted reactions.

  PublisherDOI

Recent grants

• SusChEM: Anchoring Single Noble Metal Atoms for Better Catalysis

  NSF · $550k · 2015–2019

• CAS: Functional Nanoglues for Robust and Efficient Single-Atom Catalysis

  NSF · $490k · 2020–2025

• CAS: Heteroatom Dimer and Cluster Catalysis

  NSF · $400k · 2023–2027

Frequent coauthors

• Botao Qiao

  Dalian Institute of Chemical Physics

  114 shared

• Tao Zhang

  Chinese Academy of Sciences

  90 shared

• Yinhua Lv

  90 shared

• Aiqin Wang

  Dalian Institute of Chemical Physics

  60 shared

• Shu Miao

  Institute of Advanced Science Facilities, Shenzhen

  59 shared

• Jian Lin

  Energy Storage Systems (United States)

  46 shared

• Younan Xia

  The Wallace H. Coulter Department of Biomedical Engineering

  42 shared

• Jihong Dai

  36 shared

Education

• Ph.D., Condensed Matter Physics

  Arizona State University

• B.S., Metal Physics

  University of Science and Technology Beijing, China

Awards & honors

• 2001 Edgar M. Queeny Award for Science and Technology