Lianghai Jin

36 total papers · 571 total citations
32 papers, 435 citations indexed

About

Lianghai Jin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, Lianghai Jin has authored 32 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 22 papers in Media Technology and 2 papers in Atmospheric Science. Recurrent topics in Lianghai Jin's work include Image and Signal Denoising Methods (24 papers), Advanced Image Fusion Techniques (17 papers) and Image Enhancement Techniques (15 papers). Lianghai Jin is often cited by papers focused on Image and Signal Denoising Methods (24 papers), Advanced Image Fusion Techniques (17 papers) and Image Enhancement Techniques (15 papers). Lianghai Jin collaborates with scholars based in China, United States and Canada. Lianghai Jin's co-authors include Enmin Song, Dehua Li, Xiangyang Xu, Wenhua Zhang, Hong Liu, Guangzhi Ma, Xiang Li, Hong Liu, Victor C. M. Leung and Hong Liu and has published in prestigious journals such as Brain Research, Pattern Recognition and Applied Soft Computing.

In The Last Decade

Lianghai Jin

30 papers receiving 423 citations

Author Peers

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

Author Last Decade Papers Cites
Lianghai Jin 363 228 47 32 24 32 435
John A. Saghri 338 0.9× 115 0.5× 65 1.4× 34 1.1× 10 0.4× 41 457
Wen Gao 397 1.1× 118 0.5× 48 1.0× 18 0.6× 11 0.5× 28 479
Frédéric Falzon 309 0.9× 137 0.6× 118 2.5× 27 0.8× 20 0.8× 28 452
Raj Shree 217 0.6× 176 0.8× 76 1.6× 13 0.4× 35 1.5× 29 459
N.H. Younan 178 0.5× 248 1.1× 28 0.6× 11 0.3× 37 1.5× 29 401
J.C. Brailean 382 1.1× 102 0.4× 60 1.3× 36 1.1× 6 0.3× 24 417
Hisham Othman 311 0.9× 254 1.1× 70 1.5× 65 2.0× 6 0.3× 21 434
Yaxin Sun 253 0.7× 129 0.6× 94 2.0× 36 1.1× 22 0.9× 23 436
Shanto Rahman 332 0.9× 151 0.7× 24 0.5× 7 0.2× 17 0.7× 23 454
Mounir Kaaniche 340 0.9× 147 0.6× 41 0.9× 10 0.3× 18 0.8× 39 415

Countries citing papers authored by Lianghai Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lianghai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianghai Jin

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