Gangyi Jiang

51 total papers · 463 total citations
32 papers, 345 citations indexed

About

Gangyi Jiang is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Gangyi Jiang has authored 32 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Media Technology. Recurrent topics in Gangyi Jiang's work include Advanced Steganography and Watermarking Techniques (17 papers), Image Enhancement Techniques (9 papers) and Digital Media Forensic Detection (9 papers). Gangyi Jiang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (17 papers), Image Enhancement Techniques (9 papers) and Digital Media Forensic Detection (9 papers). Gangyi Jiang collaborates with scholars based in China and South Korea. Gangyi Jiang's co-authors include Mei Yu, Ting Luo, Haiyong Xu, Zongju Peng, Feng Shao, Wujie Zhou, Hao Jiang, Yang Song, Mei Yu and Jing Wang and has published in prestigious journals such as IEEE Access, Signal Processing and IEEE Signal Processing Letters.

In The Last Decade

Gangyi Jiang

32 papers receiving 336 citations

Author Peers

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

Author Last Decade Papers Cites
Gangyi Jiang 328 71 32 28 17 32 345
Mikaël Le Pendu 290 0.9× 53 0.7× 38 1.2× 14 0.5× 20 1.2× 20 318
Tim Bruylants 270 0.8× 114 1.6× 55 1.7× 83 3.0× 11 0.6× 19 299
Weihong Ren 281 0.9× 74 1.0× 7 0.2× 25 0.9× 7 0.4× 37 324
Marco V. Bernardo 286 0.9× 88 1.2× 88 2.8× 106 3.8× 47 2.8× 29 350
J. Reichel 310 0.9× 57 0.8× 90 2.8× 39 1.4× 6 0.4× 22 329
Tim Dennis 272 0.8× 96 1.4× 29 0.9× 5 0.2× 21 1.2× 33 334
Farah Torkamani‐Azar 299 0.9× 73 1.0× 78 2.4× 19 0.7× 10 0.6× 31 354
Sergio Goma 227 0.7× 99 1.4× 79 2.5× 16 0.6× 7 0.4× 36 304
Sang-Uk Lee 286 0.9× 29 0.4× 84 2.6× 7 0.3× 32 1.9× 28 309
Lam Tran 156 0.5× 62 0.9× 26 0.8× 35 1.3× 12 0.7× 28 338

Countries citing papers authored by Gangyi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Gangyi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gangyi Jiang

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