Hongkui Wang

86 total papers · 460 total citations
58 papers, 329 citations indexed

About

Hongkui Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Hongkui Wang has authored 58 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 30 papers in Signal Processing and 4 papers in Cognitive Neuroscience. Recurrent topics in Hongkui Wang's work include Video Coding and Compression Technologies (28 papers), Image and Video Quality Assessment (26 papers) and Advanced Image Processing Techniques (23 papers). Hongkui Wang is often cited by papers focused on Video Coding and Compression Technologies (28 papers), Image and Video Quality Assessment (26 papers) and Advanced Image Processing Techniques (23 papers). Hongkui Wang collaborates with scholars based in China, United States and Singapore. Hongkui Wang's co-authors include Li Yu, Tiansong Li, Haibing Yin, Yamei Chen, Chenggang Yan, Yaoqi Sun, Xiaofei Zhou, Xianbo Deng, Jiyong Zhang and Bolun Zheng and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

In The Last Decade

Hongkui Wang

43 papers receiving 324 citations

Author Peers

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

Author Last Decade Papers Cites
Hongkui Wang 273 142 23 20 17 58 329
Xingbo Dong 242 0.9× 140 1.0× 4 0.2× 8 0.4× 4 0.2× 38 336
Abduljalil Radman 139 0.5× 148 1.0× 6 0.3× 3 0.1× 6 0.4× 30 302
Abd El Rahman Shabayek 154 0.6× 17 0.1× 15 0.7× 8 0.4× 6 0.4× 31 299
Yang Zhi 157 0.6× 40 0.3× 3 0.1× 14 0.7× 2 0.1× 65 265
Zhen Tang 220 0.8× 51 0.4× 17 0.7× 5 0.3× 31 300
Ranjan K. Senapati 209 0.8× 69 0.5× 6 0.3× 3 0.2× 49 289
Jarmila Pavlovičová 217 0.8× 89 0.6× 8 0.3× 2 0.1× 54 359
Seok Bong Yoo 183 0.7× 14 0.1× 10 0.4× 3 0.1× 3 0.2× 43 320
Bernhard Egger 231 0.8× 30 0.2× 5 0.2× 7 0.3× 3 0.2× 28 337
Fabio Martínez 83 0.3× 9 0.1× 8 0.3× 41 2.0× 8 0.5× 82 310

Countries citing papers authored by Hongkui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongkui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkui Wang

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