Hao Feng

157 total papers · 1.5k total citations
90 papers, 1.0k citations indexed

About

Hao Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Hao Feng has authored 90 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Hao Feng's work include Advanced Image and Video Retrieval Techniques (11 papers), Image Processing Techniques and Applications (9 papers) and Digital Media Forensic Detection (9 papers). Hao Feng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Image Processing Techniques and Applications (9 papers) and Digital Media Forensic Detection (9 papers). Hao Feng collaborates with scholars based in China, Australia and United Kingdom. Hao Feng's co-authors include Zhiguo Jiang, Jun Shi, Fengying Xie, Long Chen, Ping Yang, Dan Xie, Mu‐Chun Wang, Z. Fan, Wengang Zhou and Houqiang Li and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and IEEE Transactions on Image Processing.

In The Last Decade

Hao Feng

83 papers receiving 987 citations

Author Peers

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

Author Last Decade Papers Cites
Hao Feng 406 164 155 145 145 90 1.0k
Yan Zhang 247 0.6× 104 0.6× 57 0.4× 108 0.7× 114 0.8× 81 904
Zheng Guan 339 0.8× 50 0.3× 232 1.5× 151 1.0× 167 1.2× 58 1.1k
Ke Zhang 654 1.6× 82 0.5× 134 0.9× 129 0.9× 119 0.8× 56 1.1k
Wei Zhao 535 1.3× 39 0.2× 276 1.8× 110 0.8× 112 0.8× 84 1.2k
Lei Han 286 0.7× 90 0.5× 55 0.4× 108 0.7× 119 0.8× 75 927
Weidong Jin 217 0.5× 54 0.3× 54 0.3× 115 0.8× 163 1.1× 129 1.1k
Qi Wang 375 0.9× 39 0.2× 73 0.5× 50 0.3× 114 0.8× 70 1.2k
Fuming Sun 694 1.7× 59 0.4× 190 1.2× 79 0.5× 58 0.4× 108 1.2k
Hazem M. Abbas 393 1.0× 77 0.5× 124 0.8× 23 0.2× 162 1.1× 109 1.0k
Hong Bao 385 0.9× 45 0.3× 84 0.5× 63 0.4× 132 0.9× 146 1.0k

Countries citing papers authored by Hao Feng

Since Specialization
Citations

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

Fields of papers citing papers by Hao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Feng

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