Xingshi Chen

77 total papers · 568 total citations
39 papers, 394 citations indexed

About

Xingshi Chen is a scholar working on Cognitive Neuroscience, Pulmonary and Respiratory Medicine and Psychiatry and Mental health. According to data from OpenAlex, Xingshi Chen has authored 39 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Psychiatry and Mental health. Recurrent topics in Xingshi Chen's work include Functional Brain Connectivity Studies (9 papers), Lung Cancer Diagnosis and Treatment (7 papers) and EEG and Brain-Computer Interfaces (4 papers). Xingshi Chen is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Lung Cancer Diagnosis and Treatment (7 papers) and EEG and Brain-Computer Interfaces (4 papers). Xingshi Chen collaborates with scholars based in China, United States and Hong Kong. Xingshi Chen's co-authors include Hecheng Li, Wei Guo, Su Yang, Dingpei Han, Jijun Wang, Yu Sun, Xiaoying Luo, Han Wu, Shanbao Tong and Yingjie Li and has published in prestigious journals such as Frontiers in Microbiology, Advanced Science and International Journal of Biological Macromolecules.

In The Last Decade

Xingshi Chen

36 papers receiving 389 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xingshi Chen	114	68	65	58	45	39	394
Marta Suárez‐Pinilla	112 1.0×	30 0.4×	79 1.2×	74 1.3×	24 0.5×	18	406
Wen-Jun Wu	78 0.7×	39 0.6×	25 0.4×	55 0.9×	17 0.4×	30	391
Weibo Liu	81 0.7×	48 0.7×	106 1.6×	112 1.9×	13 0.3×	36	416
Haitao Li	112 1.0×	26 0.4×	70 1.1×	41 0.7×	24 0.5×	24	418
M. L. Calcagni	75 0.7×	44 0.6×	15 0.2×	66 1.1×	46 1.0×	21	346
Shyh-Jen Wang	81 0.7×	39 0.6×	57 0.9×	83 1.4×	50 1.1×	23	375
Tianyi Chen	76 0.7×	17 0.3×	54 0.8×	52 0.9×	39 0.9×	37	412
Makoto Tomita	74 0.6×	47 0.7×	99 1.5×	59 1.0×	91 2.0×	27	384
Hiroshi Kumano	63 0.6×	40 0.6×	18 0.3×	70 1.2×	29 0.6×	25	429
Varun Padmanaban	61 0.5×	30 0.4×	31 0.5×	41 0.7×	85 1.9×	32	338

Countries citing papers authored by Xingshi Chen

Since Specialization

Citations

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

Fields of papers citing papers by Xingshi Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingshi Chen

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

All Works

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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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