Yunhai Wang

235 total papers · 3.1k total citations
143 papers, 2.1k citations indexed

About

Yunhai Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yunhai Wang has authored 143 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 18 papers in Signal Processing. Recurrent topics in Yunhai Wang's work include Data Visualization and Analytics (44 papers), Computer Graphics and Visualization Techniques (17 papers) and Image Retrieval and Classification Techniques (13 papers). Yunhai Wang is often cited by papers focused on Data Visualization and Analytics (44 papers), Computer Graphics and Visualization Techniques (17 papers) and Image Retrieval and Classification Techniques (13 papers). Yunhai Wang collaborates with scholars based in China, Germany and Hong Kong. Yunhai Wang's co-authors include Baoquan Chen, Oliver Deußen, Hao Zhang, Daniel Cohen‐Or, Bin Liu, Shucai Li, Senlin Yang, Yangkang Chen, Peng Jiang and Yuxiao Ren and has published in prestigious journals such as The Journal of Immunology, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Yunhai Wang

131 papers receiving 2.0k citations

Hit Papers

Deep-Learning Inversion o... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yunhai Wang 893 351 345 310 296 143 2.1k
Marcelo Gattass 877 1.0× 233 0.7× 1.1k 3.1× 126 0.4× 214 0.7× 177 3.0k
Hans Burkhardt 511 0.6× 317 0.9× 236 0.7× 88 0.3× 146 0.5× 105 2.5k
Hongfeng Yu 714 0.8× 71 0.2× 370 1.1× 127 0.4× 85 0.3× 94 2.4k
Dejun Zhang 667 0.7× 56 0.2× 459 1.3× 132 0.4× 74 0.3× 195 3.3k
Bin Wang 827 0.9× 37 0.1× 341 1.0× 600 1.9× 67 0.2× 174 2.3k
Hien Van Nguyen 835 0.9× 62 0.2× 602 1.7× 332 1.1× 58 0.2× 69 2.0k
Xinhua Zhuang 1.5k 1.7× 31 0.1× 454 1.3× 108 0.3× 111 0.4× 58 2.6k
Won‐Ki Jeong 678 0.8× 64 0.2× 190 0.6× 368 1.2× 36 0.1× 85 1.7k
Meiling Wang 728 0.8× 64 0.2× 359 1.0× 42 0.1× 160 0.5× 223 2.2k
Evgeny Burnaev 245 0.3× 52 0.1× 340 1.0× 121 0.4× 333 1.1× 168 1.5k

Countries citing papers authored by Yunhai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunhai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhai Wang

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