Jijun Wang

2.6k total citations
91 papers, 1.6k citations indexed

About

Jijun Wang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Jijun Wang has authored 91 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 25 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Psychiatry and Mental health. Recurrent topics in Jijun Wang's work include Functional Brain Connectivity Studies (52 papers), Neural dynamics and brain function (20 papers) and Advanced Neuroimaging Techniques and Applications (19 papers). Jijun Wang is often cited by papers focused on Functional Brain Connectivity Studies (52 papers), Neural dynamics and brain function (20 papers) and Advanced Neuroimaging Techniques and Applications (19 papers). Jijun Wang collaborates with scholars based in China, United States and Canada. Jijun Wang's co-authors include Yingying Tang, Shouke Yan, Huihui Li, Chunbo Li, Yingjie Li, Cheng Luo, Yuchao Jiang, Guoze Zhao, Dan Cao and Dujin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Jijun Wang

85 papers receiving 1.6k citations

Peers

Jijun Wang
Xianrui Li China
Akihiko Shiino Japan
A. Harding Australia
Pierre Pouget France
Peter Brunner United States
Yanpei Wang China
Kathy Liu United Kingdom
Wen‐Ching Liu United States
Yu‐Chun Lo Taiwan
Xiaozheng Liu China
Xianrui Li China
Jijun Wang
Citations per year, relative to Jijun Wang Jijun Wang (= 1×) peers Xianrui Li

Countries citing papers authored by Jijun Wang

Since Specialization
Citations

This map shows the geographic impact of Jijun Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jijun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jijun Wang more than expected).

Fields of papers citing papers by Jijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jijun Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jijun Wang. The network helps show where Jijun Wang may publish in the future.

Co-authorship network of co-authors of Jijun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jijun Wang. A scholar is included among the top collaborators of Jijun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jijun Wang. Jijun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Liu, Zhi, Gongyang Li, Jiawei Xie, et al.. (2024). EMS: A Large-Scale Eye Movement Dataset, Benchmark, and New Model for Schizophrenia Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9451–9462. 2 indexed citations
3.
Li, Hui, Xiaoxuan Yu, Qin Yao, et al.. (2024). Synergistic Approaches for Enhanced Light-Driven Hydrogen Production: A Membrane-Anchoring Protein-Engineered Biohybrid System with Dual Photosensitizers Strategy. ACS Materials Letters. 6(4). 1418–1428. 11 indexed citations
4.
Li, Zheng, Lei Xu, Weidong Wang, et al.. (2023). On use of train-track-subgrade dynamic model for investigating the train-induced cumulative deformation of subgrade and its dynamic effects. Applied Mathematical Modelling. 127. 71–95. 12 indexed citations
5.
Liu, Wanying, Yao Hu, Haiying Chen, et al.. (2023). Decreased hemodynamic response to fearful faces relative to neutral faces in the medial frontal cortex of first-episode drug-naïve major depressive disorder. Journal of Affective Disorders. 326. 57–65. 5 indexed citations
6.
7.
Anteraper, Sheeba Arnold, Xavier Guell, Guusje Collin, et al.. (2021). Abnormal Function in Dentate Nuclei Precedes the Onset of Psychosis: A Resting-State fMRI Study in High-Risk Individuals. Schizophrenia Bulletin. 47(5). 1421–1430. 12 indexed citations
8.
Jiang, Yuchao, Yingchan Wang, Huan Huang, et al.. (2021). Antipsychotics Effects on Network-Level Reconfiguration of Cortical Morphometry in First-Episode Schizophrenia. Schizophrenia Bulletin. 48(1). 231–240. 10 indexed citations
9.
Wang, Yingchan, Yuchao Jiang, Lihua Xu, et al.. (2021). Temporal Dynamics in Degree Centrality of Brain Functional Connectome in First-Episode Schizophrenia with Different Short-Term Treatment Responses: A Longitudinal Study. Neuropsychiatric Disease and Treatment. Volume 17. 1505–1516. 20 indexed citations
10.
Wang, Yingchan, Yuchao Jiang, Dengtang Liu, et al.. (2021). Atypical Antipsychotics Mediate Dynamics of Intrinsic Brain Activity in Early-Stage Schizophrenia? A Preliminary Study. Psychiatry Investigation. 18(12). 1205–1212. 2 indexed citations
11.
Gan, Hong‐Seng, Jun‐Juan Zhu, Kaiming Zhuo, et al.. (2021). High frequency repetitive transcranial magnetic stimulation of dorsomedial prefrontal cortex for negative symptoms in patients with schizophrenia: A double-blind, randomized controlled trial. Psychiatry Research. 299. 113876–113876. 20 indexed citations
12.
Wang, Yingchan, Yuchao Jiang, Guusje Collin, et al.. (2021). The effects of antipsychotics on interactions of dynamic functional connectivity in the triple-network in first episode schizophrenia. Schizophrenia Research. 236. 29–37. 13 indexed citations
13.
Wang, Jijun, Yuchao Jiang, Yingying Tang, et al.. (2020). Altered functional connectivity of the thalamus induced by modified electroconvulsive therapy for schizophrenia. Schizophrenia Research. 218. 209–218. 19 indexed citations
14.
Kang, Yafei, Wei Zhang, Hanxiao Xu, et al.. (2019). Genetic polymorphism in catechol‐O‐methyltransferase associated with the functional connectivity of frontostriatal circuits in first episode schizophrenia patients. European Journal of Neuroscience. 51(10). 2134–2142. 4 indexed citations
15.
Cai, Suping, Kexin Huang, Wei Zhang, et al.. (2019). Association of rs1059004 polymorphism in the OLIG2 locus with whole-brain functional connectivity in first-episode schizophrenia. Behavioural Brain Research. 379. 112392–112392. 3 indexed citations
16.
Kang, Yafei, Kexin Huang, Suping Cai, et al.. (2018). Association between function and structure of the triple network and catechol-O-methyltransferase val158met polymorphism in the first episode schizophrenia. Neuroscience Letters. 687. 65–70. 7 indexed citations
17.
Hu, Yang, et al.. (2016). Segregation between the parietal memory network and the default mode network: effects of spatial smoothing and model order in ICA. Science Bulletin. 61(24). 1844–1854. 17 indexed citations
18.
Zuo, Lingjun, Rolando García-Milian, Xiaoyun Guo, et al.. (2016). Replicated Risk Nicotinic Cholinergic Receptor Genes for Nicotine Dependence. Genes. 7(11). 95–95. 3 indexed citations
19.
Zhang, Xiaoliu, Yingying Tang, Mirjana Maletić‐Savatić, et al.. (2016). Altered neuronal spontaneous activity correlates with glutamate concentration in medial prefrontal cortex of major depressed females: An fMRI-MRS study. Journal of Affective Disorders. 201. 153–161. 44 indexed citations
20.
Yue, Ying, Li Kong, Jijun Wang, et al.. (2016). Regional Abnormality of Grey Matter in Schizophrenia: Effect from the Illness or Treatment?. PLoS ONE. 11(1). e0147204–e0147204. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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