Zhongmin Wang

194 total papers · 3.5k total citations
131 papers, 2.5k citations indexed

About

Zhongmin Wang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhongmin Wang has authored 131 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 26 papers in Artificial Intelligence and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhongmin Wang's work include EEG and Brain-Computer Interfaces (16 papers), IoT and Edge/Fog Computing (15 papers) and Emotion and Mood Recognition (12 papers). Zhongmin Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), IoT and Edge/Fog Computing (15 papers) and Emotion and Mood Recognition (12 papers). Zhongmin Wang collaborates with scholars based in China, United States and United Kingdom. Zhongmin Wang's co-authors include YangQuan Chen, Gonzalo R. Arce, José L. Paredes, Giovanni Di Crescenzo, Lang He, Fuxi Wen, Qinghua Zheng, Wanyu Deng, Hui Song and Jonathan Cheung-Wai Chan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Zhongmin Wang

115 papers receiving 2.4k citations

Hit Papers

Deep learning for depress... 2021 2026 2022 2024 2021 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Zhongmin Wang 656 614 481 450 422 131 2.5k
Yingzi Lin 306 0.5× 533 0.9× 467 1.0× 399 0.9× 389 0.9× 127 3.4k
Fillia Makedon 1.1k 1.7× 820 1.3× 168 0.3× 374 0.8× 904 2.1× 301 3.9k
Balakrishnan Prabhakaran 959 1.5× 658 1.1× 147 0.3× 226 0.5× 275 0.7× 222 2.6k
Naeem Ramzan 1.2k 1.9× 512 0.8× 709 1.5× 943 2.1× 678 1.6× 189 4.1k
Teddy Surya Gunawan 472 0.7× 391 0.6× 263 0.5× 162 0.4× 692 1.6× 283 2.6k
Nazmul Siddique 481 0.7× 193 0.3× 163 0.3× 377 0.8× 854 2.0× 125 2.9k
Chengdong Wu 811 1.2× 571 0.9× 115 0.2× 185 0.4× 438 1.0× 321 2.6k
Zhentao Liu 645 1.0× 102 0.2× 756 1.6× 297 0.7× 558 1.3× 183 2.7k
Kyandoghere Kyamakya 347 0.5× 794 1.3× 293 0.6× 273 0.6× 352 0.8× 207 2.5k
Ateeq Ur Rehman 364 0.6× 465 0.8× 79 0.2× 502 1.1× 747 1.8× 233 3.3k

Countries citing papers authored by Zhongmin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongmin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongmin Wang

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