Chunying Jia

755 total citations
13 papers, 503 citations indexed

About

Chunying Jia is a scholar working on Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chunying Jia has authored 13 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Signal Processing and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chunying Jia's work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Blind Source Separation Techniques (4 papers). Chunying Jia is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Blind Source Separation Techniques (4 papers). Chunying Jia collaborates with scholars based in United States, China and Norway. Chunying Jia's co-authors include Jingfeng Zhou, Minmin Luo, Qiru Feng, Fei Hu, Daqing Wang, Ling Fu, Jiawei Zeng, Weixin Zhong, Qingchun Guo and Yi Li and has published in prestigious journals such as Nature, Nature Communications and Journal of Neuroscience.

In The Last Decade

Chunying Jia

11 papers receiving 496 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chunying Jia United States 7 258 252 131 58 41 13 503
Jing Xiong China 5 120 0.5× 188 0.7× 122 0.9× 51 0.9× 42 1.0× 11 366
Judit M. Veres Hungary 12 385 1.5× 381 1.5× 77 0.6× 79 1.4× 23 0.6× 17 575
Olga Lipatova United States 9 200 0.8× 187 0.7× 96 0.7× 89 1.5× 35 0.9× 16 403
I. S. Midzyanovskaya Russia 12 155 0.6× 253 1.0× 124 0.9× 28 0.5× 16 0.4× 32 427
Alessandra Lintas Switzerland 12 169 0.7× 353 1.4× 149 1.1× 24 0.4× 17 0.4× 26 518
Ralf Müller Germany 12 303 1.2× 154 0.6× 99 0.8× 29 0.5× 10 0.2× 32 595
Antti Valjakka Finland 16 282 1.1× 413 1.6× 229 1.7× 28 0.5× 68 1.7× 30 640
Rajeev Rikhye United States 9 379 1.5× 193 0.8× 94 0.7× 26 0.4× 12 0.3× 15 556
Tom Macpherson Japan 11 258 1.0× 226 0.9× 123 0.9× 43 0.7× 17 0.4× 21 512
Eric B. Emmons United States 12 316 1.2× 200 0.8× 31 0.2× 76 1.3× 33 0.8× 13 496

Countries citing papers authored by Chunying Jia

Since Specialization
Citations

This map shows the geographic impact of Chunying Jia'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 Chunying Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunying Jia more than expected).

Fields of papers citing papers by Chunying Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunying Jia. 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 Chunying Jia. The network helps show where Chunying Jia may publish in the future.

Co-authorship network of co-authors of Chunying Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Chunying Jia. A scholar is included among the top collaborators of Chunying Jia 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 Chunying Jia. Chunying Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Cai, Yu, Haibo Liu, Yu Zhao, et al.. (2025). The effects of VR-based multi-task sensorimotor intervention on motor performance in children with ADHD and DCD comorbidity. Scientific Reports. 15(1). 43960–43960.
2.
3.
Jia, Chunying, et al.. (2024). Fusion of Novel FMRI Features Using Independent Vector Analysis for a Multifaceted Characterization of Schizophrenia. Maryland Shared Open Access Repository (USMAI Consortium). 1112–1116. 2 indexed citations
4.
Meng, Lijun, et al.. (2023). OsGSTU17, a Tau Class Glutathione S-Transferase Gene, Positively Regulates Drought Stress Tolerance in Oryza sativa. Plants. 12(17). 3166–3166. 16 indexed citations
5.
Jia, Chunying, et al.. (2022). Independent Component and Graph Theory Analyses Reveal Normalized Brain Networks on Resting‐State Functional MRI After Working Memory Training in People With HIV. Journal of Magnetic Resonance Imaging. 57(5). 1552–1564. 9 indexed citations
6.
Zhou, Jingfeng, et al.. (2021). Prospective representations in rat orbitofrontal ensembles.. Behavioral Neuroscience. 135(4). 518–527. 5 indexed citations
7.
8.
Zhou, Jingfeng, et al.. (2020). Evolving schema representations in orbitofrontal ensembles during learning. Nature. 590(7847). 606–611. 69 indexed citations
9.
Jia, Chunying, et al.. (2020). Tracing Network Evolution Using The Parafac2 Model. arXiv (Cornell University). 1100–1104. 12 indexed citations
10.
11.
Jia, Chunying, et al.. (2018). Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis. 2581–2585. 28 indexed citations
12.
Li, Yi, Weixin Zhong, Daqing Wang, et al.. (2016). Serotonin neurons in the dorsal raphe nucleus encode reward signals. Nature Communications. 7(1). 10503–10503. 313 indexed citations
13.
Zhou, Jingfeng, et al.. (2015). Prospective Coding of Dorsal Raphe Reward Signals by the Orbitofrontal Cortex. Journal of Neuroscience. 35(6). 2717–2730. 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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Breakdown of academic impact, for papers by Jing Xiong Breakdown of academic impact, for papers by Judit M. Veres Breakdown of academic impact, for papers by Olga Lipatova Breakdown of academic impact, for papers by I. S. Midzyanovskaya Breakdown of academic impact, for papers by Alessandra Lintas Breakdown of academic impact, for papers by Ralf Müller Breakdown of academic impact, for papers by Antti Valjakka Breakdown of academic impact, for papers by Rajeev Rikhye Breakdown of academic impact, for papers by Tom Macpherson Breakdown of academic impact, for papers by Eric B. Emmons
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2026