Xin Tan

94 total papers · 1.7k total citations
64 papers, 1.2k citations indexed

About

Xin Tan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Science Applications. According to data from OpenAlex, Xin Tan has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 14 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Computer Science Applications. Recurrent topics in Xin Tan's work include Functional Brain Connectivity Studies (18 papers), Open Source Software Innovations (14 papers) and Software Engineering Research (13 papers). Xin Tan is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Open Source Software Innovations (14 papers) and Software Engineering Research (13 papers). Xin Tan collaborates with scholars based in China, United States and Australia. Xin Tan's co-authors include Minghui Zhou, Shijun Qiu, Yi Liang, Sandy R. Shultz, David Wright, Chunhong Qin, Terence J. O’Brien, Xiangdong Li, Xi Leng and Yifan Li and has published in prestigious journals such as Scientific Reports, Journal of Affective Disorders and IEEE Transactions on Software Engineering.

In The Last Decade

Xin Tan

61 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Xin Tan 216 214 212 204 145 64 1.2k
Benjamin Zimmerman 182 0.8× 201 0.9× 76 0.4× 43 0.2× 45 0.3× 40 1.1k
A. Sebastian Schroeder 45 0.2× 58 0.3× 115 0.5× 496 2.4× 231 1.6× 71 1.4k
Hany Alashwal 39 0.2× 48 0.2× 113 0.5× 73 0.4× 188 1.3× 43 933
Inayat Khan 102 0.5× 77 0.4× 130 0.6× 17 0.1× 51 0.4× 88 1.4k
Tao Wang 63 0.3× 86 0.4× 183 0.9× 26 0.1× 146 1.0× 114 1.4k
Hao Deng 64 0.3× 35 0.2× 64 0.3× 36 0.2× 103 0.7× 71 1.2k
Daniel Novák 16 0.1× 179 0.8× 241 1.1× 69 0.3× 95 0.7× 89 1.4k
Yi Xie 74 0.3× 109 0.5× 75 0.4× 37 0.2× 98 0.7× 54 1.1k
Asif Khan 124 0.6× 38 0.2× 89 0.4× 29 0.1× 40 0.3× 40 957
Zhikun Zhang 339 1.6× 630 2.9× 65 0.3× 36 0.2× 21 0.1× 59 1.2k

Countries citing papers authored by Xin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Tan. A scholar is included among the top collaborators of Xin Tan 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 Xin Tan. Xin Tan 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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