Jingyuan E. Chen

1.3k total citations
19 papers, 817 citations indexed

About

Jingyuan E. Chen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jingyuan E. Chen has authored 19 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jingyuan E. Chen's work include Functional Brain Connectivity Studies (16 papers), Advanced MRI Techniques and Applications (10 papers) and Neural dynamics and brain function (6 papers). Jingyuan E. Chen is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Advanced MRI Techniques and Applications (10 papers) and Neural dynamics and brain function (6 papers). Jingyuan E. Chen collaborates with scholars based in United States, Austria and Switzerland. Jingyuan E. Chen's co-authors include Gary H. Glover, Catie Chang, Michael D. Greicius, Jon̈athan R. Polimeni, Allan L. Reiss, Ning Liu, Laura D. Lewis, Bruce R. Rosen, Nina E. Fultz and Saskia Bollmann and has published in prestigious journals such as Nature Communications, NeuroImage and Human Brain Mapping.

In The Last Decade

Jingyuan E. Chen

17 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyuan E. Chen United States 11 685 322 92 81 63 19 817
Christine Law United States 9 480 0.7× 223 0.7× 103 1.1× 38 0.5× 73 1.2× 20 709
Annie L. Nguyen United States 4 954 1.4× 437 1.4× 175 1.9× 27 0.3× 78 1.2× 4 1.1k
Klaudius Kalcher Austria 13 518 0.8× 214 0.7× 152 1.7× 36 0.4× 68 1.1× 23 761
Maryam Falahpour United States 10 550 0.8× 224 0.7× 102 1.1× 28 0.3× 90 1.4× 11 689
Lynn Uhrig France 15 885 1.3× 242 0.8× 83 0.9× 42 0.5× 43 0.7× 30 1.1k
Jacqueline M. Hampton United States 4 856 1.2× 372 1.2× 148 1.6× 21 0.3× 68 1.1× 4 982
Ashley N. Nielsen United States 13 812 1.2× 248 0.8× 204 2.2× 33 0.4× 105 1.7× 24 979
F. Gerstl Austria 6 709 1.0× 321 1.0× 153 1.7× 30 0.4× 77 1.2× 8 847
Dillan J. Newbold United States 6 869 1.3× 329 1.0× 150 1.6× 32 0.4× 62 1.0× 10 1.0k
Daniel Birman United States 5 449 0.7× 203 0.6× 64 0.7× 34 0.4× 83 1.3× 5 633

Countries citing papers authored by Jingyuan E. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jingyuan E. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingyuan E. Chen. 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 Jingyuan E. Chen. The network helps show where Jingyuan E. Chen may publish in the future.

Co-authorship network of co-authors of Jingyuan E. Chen

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

All Works

19 of 19 papers shown
1.
Min, Jungwon, et al.. (2025). The physiological component of the BOLD signal: Impact of age and heart rate variability biofeedback training. Imaging Neuroscience. 3. 1 indexed citations
2.
Mandeville, Joseph B., Murray Bruce Reed, Hasan Sari, et al.. (2025). On the analysis of functional PET (fPET)-FDG: Baseline mischaracterization can introduce artifactual metabolic (de)activations. Imaging Neuroscience. 3. 1 indexed citations
3.
Juttukonda, Meher R., Shiyu Wang, Csaba Orbán, et al.. (2025). Functional MRI signatures of autonomic physiology in aging. Communications Biology. 8(1). 1287–1287.
4.
Chen, Jingyuan E., Laura D. Lewis, Ciprian Catana, et al.. (2025). Simultaneous EEG-PET-MRI identifies temporally coupled and spatially structured brain dynamics across wakefulness and NREM sleep. Nature Communications. 16(1). 8887–8887.
5.
Gold, Benjamin P., Chong Zhao, Jacco A. de Zwart, et al.. (2024). Functional MRI signals exhibit stronger covariation with peripheral autonomic measures as vigilance decreases. Imaging Neuroscience. 2. 4 indexed citations
6.
Zürcher, Nicole R., Jingyuan E. Chen, & Hsiao‐Ying Wey. (2024). PET‐MRI Applications and Future Prospects in Psychiatry. Journal of Magnetic Resonance Imaging. 61(2). 568–578. 4 indexed citations
7.
8.
Chen, Jingyuan E., Gary H. Glover, Nina E. Fultz, et al.. (2021). Investigating mechanisms of fast BOLD responses: The effects of stimulus intensity and of spatial heterogeneity of hemodynamics. NeuroImage. 245. 118658–118658. 13 indexed citations
9.
Chang, Catie & Jingyuan E. Chen. (2021). Multimodal EEG-fMRI: Advancing insight into large-scale human brain dynamics. Current Opinion in Biomedical Engineering. 18. 100279–100279. 19 indexed citations
10.
Chen, Jingyuan E., Laura D. Lewis, Catie Chang, et al.. (2020). Resting-state “physiological networks”. NeuroImage. 213. 116707–116707. 96 indexed citations
11.
Chen, Jingyuan E., Jon̈athan R. Polimeni, Saskia Bollmann, & Gary H. Glover. (2019). On the analysis of rapidly sampled fMRI data. NeuroImage. 188. 807–820. 47 indexed citations
12.
Chen, Jingyuan E., Mikail Rubinov, & Catie Chang. (2017). Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data. Neuroimaging Clinics of North America. 27(4). 547–560. 31 indexed citations
13.
Chen, Jingyuan E., Gary H. Glover, Michael D. Greicius, & Catie Chang. (2017). Dissociated patterns of anti‐correlations with dorsal and ventral default‐mode networks at rest. Human Brain Mapping. 38(5). 2454–2465. 39 indexed citations
14.
Chen, Jingyuan E., Hesamoddin Jahanian, & Gary H. Glover. (2016). Nuisance Regression of High-Frequency Functional Magnetic Resonance Imaging Data: Denoising Can Be Noisy. Brain Connectivity. 7(1). 13–24. 25 indexed citations
15.
Liu, Ning, et al.. (2016). NIRS-Based Hyperscanning Reveals Inter-brain Neural Synchronization during Cooperative Jenga Game with Face-to-Face Communication. Frontiers in Human Neuroscience. 10. 82–82. 148 indexed citations
16.
Chen, Jingyuan E. & Gary H. Glover. (2015). Functional Magnetic Resonance Imaging Methods. Neuropsychology Review. 25(3). 289–313. 129 indexed citations
17.
Chen, Jingyuan E., Catie Chang, Michael D. Greicius, & Gary H. Glover. (2015). Introducing co-activation pattern metrics to quantify spontaneous brain network dynamics. NeuroImage. 111. 476–488. 115 indexed citations
18.
Chen, Jingyuan E. & Gary H. Glover. (2015). Erratum to: Functional Magnetic Resonance Imaging Methods. Neuropsychology Review. 25(3). 314–314. 3 indexed citations
19.
Chen, Jingyuan E. & Gary H. Glover. (2014). BOLD fractional contribution to resting-state functional connectivity above 0.1 Hz. NeuroImage. 107. 207–218. 137 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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