Congying Chu

4.2k total citations · 1 hit paper
32 papers, 2.2k citations indexed

About

Congying Chu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Congying Chu has authored 32 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 12 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Neurology. Recurrent topics in Congying Chu's work include Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Neural dynamics and brain function (8 papers). Congying Chu is often cited by papers focused on Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Neural dynamics and brain function (8 papers). Congying Chu collaborates with scholars based in China, Germany and United States. Congying Chu's co-authors include Tianzi Jiang, Jiaojian Wang, Lingzhong Fan, Simon B. Eickhoff, Zhengyi Yang, Junjie Zhuo, Peter T. Fox, Liangfu Chen, Angela R. Laird and Hai Li and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Congying Chu

25 papers receiving 2.2k citations

Hit Papers

The Human Brainnetome Atlas: A New Brain Atlas Based on C... 2016 2026 2019 2022 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congying Chu China 9 1.7k 727 402 338 175 32 2.2k
Junjie Zhuo China 10 1.7k 1.0× 747 1.0× 354 0.9× 343 1.0× 160 0.9× 15 2.1k
Xiaowei Song United States 7 1.9k 1.1× 760 1.0× 417 1.0× 345 1.0× 152 0.9× 15 2.3k
Sangma Xie China 12 1.8k 1.0× 883 1.2× 366 0.9× 373 1.1× 159 0.9× 21 2.3k
Xiangyu Long Canada 20 2.2k 1.3× 870 1.2× 429 1.1× 533 1.6× 168 1.0× 44 3.0k
Zhang-Ye Dong China 9 1.8k 1.0× 650 0.9× 408 1.0× 332 1.0× 141 0.8× 9 2.1k
Sufang Li China 14 1.7k 1.0× 637 0.9× 485 1.2× 437 1.3× 142 0.8× 18 2.2k
Zhiliang Long China 31 1.9k 1.1× 723 1.0× 628 1.6× 495 1.5× 164 0.9× 65 2.4k
Oscar Estéban United States 10 2.0k 1.2× 742 1.0× 438 1.1× 334 1.0× 117 0.7× 37 2.6k
Paulo Marques Portugal 21 1.1k 0.6× 806 1.1× 250 0.6× 233 0.7× 127 0.7× 48 2.0k
Alexander Schaefer Germany 13 2.4k 1.4× 1.0k 1.4× 519 1.3× 284 0.8× 157 0.9× 15 2.8k

Countries citing papers authored by Congying Chu

Since Specialization
Citations

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

Fields of papers citing papers by Congying Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congying Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Congying Chu. A scholar is included among the top collaborators of Congying Chu 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 Congying Chu. Congying Chu 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.
Li, Deying, Yufan Wang, Liang Ma, et al.. (2025). Topographic Axes of Wiring Space Converge to Genetic Topography in Shaping the Human Cortical Layout. Journal of Neuroscience. 45(7). e1510242024–e1510242024. 1 indexed citations
2.
Chu, Congying, et al.. (2025). Network Occlusion Sensitivity Analysis Identifies Regional Contributions to Brain Age Prediction. Human Brain Mapping. 46(8). e70239–e70239.
4.
Chu, Congying, Wen Li, Haiyan Wang, et al.. (2024). Co-representation of Functional Brain Networks Is Shaped by Cortical Myeloarchitecture and Reveals Individual Behavioral Ability. Journal of Neuroscience. 44(13). e0856232024–e0856232024. 2 indexed citations
5.
Li, Wenlu, Jin Li, Congying Chu, et al.. (2024). Common Sequential Organization of Face Processing in the Human Brain and Convolutional Neural Networks. Neuroscience. 541. 1–13.
6.
Li, Gang, Liang Ma, Changshuo Wang, et al.. (2024). Prior‐guided individualized thalamic parcellation based on local diffusion characteristics. Human Brain Mapping. 45(4). e26646–e26646. 2 indexed citations
7.
Wang, Yufan, Haiyan Wang, Simon B. Eickhoff, et al.. (2024). Spatio-molecular profiles shape the human cerebellar hierarchy along the sensorimotor-association axis. Cell Reports. 43(2). 113770–113770. 4 indexed citations
8.
Madsen, Kristoffer H., et al.. (2024). Individualized brain mapping for navigated neuromodulation. Chinese Medical Journal. 137(5). 508–523. 6 indexed citations
10.
Zhang, Jiang, Zhiwei Zhang, Hui Sun, et al.. (2024). Personalized functional network mapping for autism spectrum disorder and attention-deficit/hyperactivity disorder. Translational Psychiatry. 14(1). 92–92. 3 indexed citations
11.
Yang, Zhengyi, et al.. (2023). In-vivo verified anatomically aware deep learning for real-time electric field simulation. Journal of Neural Engineering. 20(6). 66018–66018. 3 indexed citations
12.
Xiong, Hui, Congying Chu, Lingzhong Fan, et al.. (2023). The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence. SHILAP Revista de lepidopterología. 2. 28 indexed citations
13.
Chu, Congying, Sebastian C. Holst, Eva‐Maria Elmenhorst, et al.. (2023). Total Sleep Deprivation Increases Brain Age Prediction Reversibly in Multisite Samples of Young Healthy Adults. Journal of Neuroscience. 43(12). 2168–2177. 16 indexed citations
14.
Chu, Congying, Deying Li, Zhengyi Yang, et al.. (2022). Uncovering the genetic profiles underlying the intrinsic organization of the human cerebellum. Molecular Psychiatry. 27(5). 2619–2634. 6 indexed citations
15.
Xie, Sangma, Junjie Zhuo, Ming Song, et al.. (2022). Tract-specific white matter microstructural alterations in subjects with schizophrenia and unaffected first-degree relatives. Brain Imaging and Behavior. 16(5). 2110–2119.
16.
Wu, Dongya, Lingzhong Fan, Ming Song, et al.. (2020). Hierarchy of Connectivity–Function Relationship of the Human Cortex Revealed through Predicting Activity across Functional Domains. Cerebral Cortex. 30(8). 4607–4616. 18 indexed citations
17.
Huang, Xuhui, Kaibin Xu, Congying Chu, Tianzi Jiang, & Shan Yu. (2017). Weak Higher-Order Interactions in Macroscopic Functional Networks of the Resting Brain. Journal of Neuroscience. 37(43). 10481–10497. 8 indexed citations
18.
Chu, Congying, Lingzhong Fan, Claudia R. Eickhoff, et al.. (2015). Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates. NeuroImage. 117. 397–407. 7 indexed citations
19.
Yang, Yong, Lingzhong Fan, Congying Chu, et al.. (2015). Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation. NeuroImage. 124(Pt A). 300–309. 22 indexed citations
20.
Chu, Congying. (2008). My Personal Journey: Schizophrenia. Hong Kong journal of psychiatry. 18(1). 39. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026