Weihong Wang

93 total papers · 1.2k total citations
48 papers, 800 citations indexed

About

Weihong Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Weihong Wang has authored 48 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Weihong Wang's work include Digital Media Forensic Detection (4 papers), Hydrology and Watershed Management Studies (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Weihong Wang is often cited by papers focused on Digital Media Forensic Detection (4 papers), Hydrology and Watershed Management Studies (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Weihong Wang collaborates with scholars based in China, United States and Australia. Weihong Wang's co-authors include Hany Farid, Fang Chen, Yang Wang, Baochun Li, Xuegang Luo, Zhidong Li, Wenjun Zhang, Shimin Tian, Min Zhang and Yan Zhang and has published in prestigious journals such as Desalination, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Weihong Wang

42 papers receiving 756 citations

Author Peers

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

Author Last Decade Papers Cites
Weihong Wang 591 87 83 81 53 48 800
Xiaobing Kang 521 0.9× 93 1.1× 170 2.0× 31 0.4× 25 0.5× 42 904
Gajanan K. Birajdar 586 1.0× 130 1.5× 189 2.3× 76 0.9× 26 0.5× 42 912
Yuqing Liu 189 0.3× 90 1.0× 62 0.7× 8 0.1× 22 0.4× 65 909
Zhaohong Li 455 0.8× 63 0.7× 39 0.5× 11 0.1× 10 0.2× 76 924
Qi Han 536 0.9× 166 1.9× 152 1.8× 43 0.5× 55 1.0× 89 919
Shuai Xiao 470 0.8× 211 2.4× 48 0.6× 4 0.0× 64 1.2× 72 1.0k
Tong Qiao 712 1.2× 172 2.0× 207 2.5× 50 0.6× 46 0.9× 60 906
Jinyu Tian 335 0.6× 193 2.2× 330 4.0× 11 0.1× 35 0.7× 55 714
Yuan Rao 536 0.9× 160 1.8× 164 2.0× 81 1.0× 64 1.2× 41 999
Chen Chen 525 0.9× 125 1.4× 123 1.5× 18 0.2× 51 1.0× 71 719

Countries citing papers authored by Weihong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weihong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihong Wang

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