Hengfu Yang

57 total papers · 743 total citations
38 papers, 490 citations indexed

About

Hengfu Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hengfu Yang has authored 38 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Hengfu Yang's work include Advanced Steganography and Watermarking Techniques (25 papers), Chaos-based Image/Signal Encryption (13 papers) and Digital Media Forensic Detection (9 papers). Hengfu Yang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (25 papers), Chaos-based Image/Signal Encryption (13 papers) and Digital Media Forensic Detection (9 papers). Hengfu Yang collaborates with scholars based in China, United States and Taiwan. Hengfu Yang's co-authors include Xingming Sun, Jianping Yin, Guang Sun, Rong Xiao, Ying Yang, Chang‐Tsun Li, Charles R. Gerfen, Philip R. Williams, Yiming Zhang and Xinjian Li and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Hengfu Yang

34 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Hengfu Yang 309 74 68 47 42 38 490
Matteo Santoro 101 0.3× 64 0.9× 27 0.4× 71 1.5× 7 0.2× 29 510
G Ranganathan 82 0.3× 146 2.0× 126 1.9× 40 0.9× 14 0.3× 12 416
Xi Chen 91 0.3× 70 0.9× 102 1.5× 55 1.2× 5 0.1× 48 450
Sourabh Sharma 159 0.5× 8 0.1× 21 0.3× 24 0.5× 13 0.3× 32 497
Xin‐Hua Hu 46 0.1× 19 0.3× 51 0.8× 84 1.8× 36 0.9× 40 434
Mariacarla Staffa 92 0.3× 31 0.4× 95 1.4× 190 4.0× 42 1.0× 53 472
Qun Wu 176 0.6× 17 0.2× 81 1.2× 98 2.1× 15 0.4× 33 481
Kan Li 196 0.6× 30 0.4× 37 0.5× 75 1.6× 7 0.2× 51 506
Vinay Kumar 114 0.4× 14 0.2× 64 0.9× 81 1.7× 17 0.4× 55 452
Sijia Chen 195 0.6× 10 0.1× 13 0.2× 68 1.4× 12 0.3× 51 508

Countries citing papers authored by Hengfu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hengfu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengfu Yang

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