Yun-Cheng Wang

65 total papers · 657 total citations
23 papers, 332 citations indexed

About

Yun-Cheng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yun-Cheng Wang has authored 23 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Yun-Cheng Wang's work include Topic Modeling (5 papers), Advanced Graph Neural Networks (4 papers) and Visual Attention and Saliency Detection (3 papers). Yun-Cheng Wang is often cited by papers focused on Topic Modeling (5 papers), Advanced Graph Neural Networks (4 papers) and Visual Attention and Saliency Detection (3 papers). Yun-Cheng Wang collaborates with scholars based in United States, China and Singapore. Yun-Cheng Wang's co-authors include C.‐C. Jay Kuo, Bin Wang, Angela Yee‐Moon Wang, Ying Wang, Junjie Chen, Jianan Li, Bo Huang, Bin Wang, Tingfa Xu and Bing Chen and has published in prestigious journals such as Pattern Recognition Letters, IEEE Transactions on Multimedia and Computer Vision and Image Understanding.

In The Last Decade

Yun-Cheng Wang

17 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Yun-Cheng Wang 190 60 58 27 25 23 332
Haoran Huang 191 1.0× 112 1.9× 73 1.3× 33 1.2× 29 1.2× 24 391
Lin Xiao 319 1.7× 68 1.1× 43 0.7× 40 1.5× 10 0.4× 20 386
Timothy Hanratty 147 0.8× 35 0.6× 26 0.4× 43 1.6× 17 0.7× 38 300
Biao Zhao 195 1.0× 41 0.7× 46 0.8× 11 0.4× 27 1.1× 28 295
Yunlei Sun 159 0.8× 63 1.1× 55 0.9× 9 0.3× 13 0.5× 15 381
Weiqiang Jin 210 1.1× 43 0.7× 50 0.9× 11 0.4× 28 1.1× 24 313
Yuntao Jia 117 0.6× 71 1.2× 153 2.6× 9 0.3× 19 0.8× 14 352
Minglong Lei 203 1.1× 46 0.8× 57 1.0× 5 0.2× 16 0.6× 28 333
Zheng Lu 101 0.5× 25 0.4× 80 1.4× 17 0.6× 15 0.6× 33 316
Bingyan Liu 225 1.2× 52 0.9× 67 1.2× 15 0.6× 25 1.0× 29 367

Countries citing papers authored by Yun-Cheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Cheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun-Cheng Wang

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