Feiyan Chen

3.0k total citations
141 papers, 2.1k citations indexed

About

Feiyan Chen is a scholar working on Cognitive Neuroscience, Statistics and Probability and Surgery. According to data from OpenAlex, Feiyan Chen has authored 141 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 21 papers in Statistics and Probability and 20 papers in Surgery. Recurrent topics in Feiyan Chen's work include Cognitive and developmental aspects of mathematical skills (21 papers), Functional Brain Connectivity Studies (16 papers) and Control Systems and Identification (15 papers). Feiyan Chen is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (21 papers), Functional Brain Connectivity Studies (16 papers) and Control Systems and Identification (15 papers). Feiyan Chen collaborates with scholars based in China, United States and Hong Kong. Feiyan Chen's co-authors include Feng Ding, Yuzheng Hu, Jian Weng, Fengji Geng, Yuan Yao, Fenglei Du, Yunqi Wang, Yongxin Li, Lianpei Zou and Xing Hu and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Feiyan Chen

132 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feiyan Chen China 27 625 385 295 282 217 141 2.1k
Yiyu Cai Singapore 27 166 0.3× 17 0.0× 184 0.6× 154 0.5× 192 0.9× 169 2.2k
Masato Inoue Japan 26 403 0.6× 33 0.1× 57 0.2× 32 0.1× 80 0.4× 204 2.4k
Alexander J. Casson United Kingdom 30 1.5k 2.3× 15 0.0× 41 0.1× 46 0.2× 138 0.6× 139 4.0k
Pranay Goel India 19 413 0.7× 134 0.3× 52 0.2× 30 0.1× 225 1.0× 56 2.9k
Na Hu China 25 342 0.5× 17 0.0× 26 0.1× 13 0.0× 132 0.6× 149 2.1k
Sharon Chen Taiwan 20 251 0.4× 13 0.0× 22 0.1× 19 0.1× 86 0.4× 84 2.3k
Dee Wu United States 26 493 0.8× 7 0.0× 67 0.2× 42 0.1× 111 0.5× 92 2.2k
John M. Sullivan United States 25 71 0.1× 14 0.0× 215 0.7× 27 0.1× 73 0.3× 116 2.1k
Tomohiro Inoue Japan 22 91 0.1× 165 0.4× 25 0.1× 516 1.8× 287 1.3× 232 1.9k
Kenji Hashimoto Japan 25 126 0.2× 15 0.0× 526 1.8× 10 0.0× 102 0.5× 301 2.6k

Countries citing papers authored by Feiyan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Feiyan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Feiyan Chen. A scholar is included among the top collaborators of Feiyan 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 Feiyan Chen. Feiyan Chen 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.
Zhu, Ping, et al.. (2025). Brain dynamics simulation of schizophrenia with chaotic neural networks. Neurocomputing. 626. 129585–129585. 2 indexed citations
2.
Li, Junfa, et al.. (2025). Reduced connection strength leads to enhancement of working memory capacity in cognitive training. NeuroImage. 308. 121055–121055. 1 indexed citations
3.
Niu, Jiqiang, Zijian Liu, Feiyan Chen, et al.. (2025). Variations of soil moisture and its influencing factors in arid and semi-arid areas, China. Journal of Arid Land. 17(5). 624–643. 1 indexed citations
4.
Chen, Feiyan, et al.. (2024). UCP2 knockout exacerbates sepsis-induced intestinal injury by promoting NLRP3-mediated pyroptosis. International Immunopharmacology. 141. 112935–112935. 4 indexed citations
5.
Chen, Feiyan, Yan Qiu, & Jinliang Liu. (2024). NIR responsive nanosystem based on upconversion nanoparticle-engineered bacteria for immune/photodynamic combined therapy with bacteria self-clearing capability. Journal of Colloid and Interface Science. 678(Pt C). 583–594. 2 indexed citations
6.
Wu, Yunying, et al.. (2023). Reshaping the Cortical Connectivity Gradient by Long-Term Cognitive Training During Development. Neuroscience Bulletin. 40(1). 50–64. 3 indexed citations
7.
Yao, Yuan, et al.. (2023). Different impacts of long-term abacus training on symbolic and non-symbolic numerical magnitude processing in children. Biological Psychology. 178. 108514–108514. 1 indexed citations
8.
Chen, Feiyan, et al.. (2023). Effect of cognitive training on brain dynamics. Chinese Physics B. 33(2). 28704–28704. 1 indexed citations
9.
Lin, Tao, Changbing Wang, Wanli Liang, et al.. (2022). Human adenovirus (HAdV) infection in children with acute respiratory tract infections in Guangzhou, China, 2010–2021: a molecular epidemiology study. World Journal of Pediatrics. 18(8). 545–552. 27 indexed citations
10.
Chen, Feiyan, Linghui Wang, Wenjing Tian, et al.. (2021). Synthesis, X-ray crystal structures, and electrochemistry of two diiron ethane-1,2-dithiolate complexes containing tris(4-trifluoromethylphenyl)phosphine or triethyl phosphite. Inorganic and Nano-Metal Chemistry. 52(4). 512–518. 1 indexed citations
11.
Jia, Xiuqin, et al.. (2020). Involvement of the Right Dorsolateral Prefrontal Cortex in Numerical Rule Induction: A Transcranial Direct Current Stimulation Study. Frontiers in Human Neuroscience. 14. 566675–566675. 5 indexed citations
12.
Liu, Tao, et al.. (2018). Automatic processing of pragmatic information in the human brain. Neuroreport. 29(8). 631–636.
13.
Weng, Jian, et al.. (2018). The impact of long-term abacus training on modular properties of functional brain network. NeuroImage. 183. 811–817. 15 indexed citations
14.
Dong, Shan‐Shan, et al.. (2016). The impact of abacus training on working memory and underlying neural correlates in young adults. Neuroscience. 332. 181–190. 31 indexed citations
15.
Wang, Chunjie, Fengji Geng, Yuan Yao, et al.. (2015). Abacus Training Affects Math and Task Switching Abilities and Modulates Their Relationships in Chinese Children. PLoS ONE. 10(10). e0139930–e0139930. 30 indexed citations
16.
Chen, Feiyan & Feng Ding. (2015). The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems. Applied Mathematical Modelling. 40(3). 2106–2118. 33 indexed citations
17.
Huang, Gangyong, Jun Xia, Siqun Wang, et al.. (2014). Anatomical dangerous triangle of popliteal vascular injury in total knee arthroplasty. Zhonghua guke zazhi. 34(4). 411–416. 1 indexed citations
18.
19.
Chen, Feiyan, et al.. (2012). Variable smoothing parameter of the double exponential smoothing forecasting model and its application. 386–388. 2 indexed citations
20.
Chen, Feiyan, et al.. (2006). Neural correlates of serial abacus mental calculation in children: A functional MRI study. Neuroscience Letters. 403(1-2). 46–51. 79 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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