Tai Wang

92 total papers · 2.0k total citations
53 papers, 1.3k citations indexed

About

Tai Wang is a scholar working on Psychiatry and Mental health, Computer Networks and Communications and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tai Wang has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Psychiatry and Mental health, 8 papers in Computer Networks and Communications and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tai Wang's work include Sexual function and dysfunction studies (10 papers), Hormonal and reproductive studies (7 papers) and Online Learning and Analytics (7 papers). Tai Wang is often cited by papers focused on Sexual function and dysfunction studies (10 papers), Hormonal and reproductive studies (7 papers) and Online Learning and Analytics (7 papers). Tai Wang collaborates with scholars based in China, Hong Kong and United States. Tai Wang's co-authors include Dahua Lin, Xinge Zhu, Jiangmiao Pang, Hui Zhou, Wei Li, Hongsheng Li, Fangzhou Hong, Yuexin Ma, Sannyuya Liu and J. Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and IEEE Access.

In The Last Decade

Tai Wang

48 papers receiving 1.2k citations

Hit Papers

FCOS3D: Fully Convolution... 2021 2026 2022 2024 2021 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Tai Wang 596 320 162 158 139 53 1.3k
Liangjun Zhang 884 1.5× 358 1.1× 67 0.4× 59 0.4× 131 0.9× 89 1.6k
Miguel Cazorla 771 1.3× 327 1.0× 169 1.0× 151 1.0× 260 1.9× 136 1.6k
Dimitrios Zarpalas 1.1k 1.9× 422 1.3× 192 1.2× 52 0.3× 134 1.0× 86 1.6k
Xin Tan 741 1.2× 84 0.3× 67 0.4× 90 0.6× 305 2.2× 83 1.3k
Jing Hua 666 1.1× 79 0.2× 532 3.3× 103 0.7× 221 1.6× 112 1.8k
Peter Allen 519 0.9× 275 0.9× 114 0.7× 42 0.3× 150 1.1× 57 1.7k
Peter Kontschieder 1.2k 2.1× 195 0.6× 100 0.6× 108 0.7× 558 4.0× 42 1.8k
Umberto Castellani 937 1.6× 287 0.9× 513 3.2× 44 0.3× 218 1.6× 90 1.5k
Syed Afaq Ali Shah 953 1.6× 141 0.4× 67 0.4× 52 0.3× 471 3.4× 74 1.8k
Christian Rupprecht 825 1.4× 266 0.8× 266 1.6× 40 0.3× 236 1.7× 77 1.7k

Countries citing papers authored by Tai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai Wang

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