Xinlei Wang

56 total papers · 517 total citations
38 papers, 316 citations indexed

About

Xinlei Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Xinlei Wang has authored 38 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Cognitive Neuroscience and 6 papers in Computer Networks and Communications. Recurrent topics in Xinlei Wang's work include Functional Brain Connectivity Studies (9 papers), EEG and Brain-Computer Interfaces (4 papers) and Mental Health Research Topics (4 papers). Xinlei Wang is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), EEG and Brain-Computer Interfaces (4 papers) and Mental Health Research Topics (4 papers). Xinlei Wang collaborates with scholars based in China, United States and Japan. Xinlei Wang's co-authors include Prasant Mohapatra, Robert J. Zawadzki, Marie E. Burns, Emily S. Levine, Eric B. Miller, Sarah J. Karlen, Junchang Xin, Kannan Govindan, Gaoqi Liang and Jing Qiu and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and Sensors.

In The Last Decade

Xinlei Wang

36 papers receiving 307 citations

Author Peers

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

Author Last Decade Papers Cites
Xinlei Wang 59 53 52 47 41 38 316
Kun Lan 117 2.0× 65 1.2× 19 0.4× 52 1.1× 19 0.5× 30 366
T. Rajendran 89 1.5× 8 0.2× 66 1.3× 87 1.9× 30 0.7× 21 318
Haixia Long 73 1.2× 69 1.3× 16 0.3× 47 1.0× 15 0.4× 24 251
Qingling Cai 102 1.7× 11 0.2× 21 0.4× 79 1.7× 15 0.4× 23 284
Mohemmed Sha 126 2.1× 12 0.2× 50 1.0× 55 1.2× 4 0.1× 44 299
Nesma Settouti 177 3.0× 25 0.5× 9 0.2× 82 1.7× 20 0.5× 38 340
Vasileios G. Kanas 84 1.4× 12 0.2× 58 1.1× 56 1.2× 11 0.3× 18 352
J. Alexander Bae 98 1.7× 124 2.3× 15 0.3× 54 1.1× 12 0.3× 18 335
Peyman Bayat 74 1.3× 18 0.3× 70 1.3× 86 1.8× 6 0.1× 28 303
Neda Afreen 65 1.1× 9 0.2× 24 0.5× 39 0.8× 24 0.6× 17 349

Countries citing papers authored by Xinlei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinlei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinlei Wang. A scholar is included among the top collaborators of Xinlei Wang 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 Xinlei Wang. Xinlei Wang 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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2026