Meijun Sun

94 total papers · 1.1k total citations
63 papers, 749 citations indexed

About

Meijun Sun is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Computational Mechanics. According to data from OpenAlex, Meijun Sun has authored 63 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 12 papers in Cognitive Neuroscience and 8 papers in Computational Mechanics. Recurrent topics in Meijun Sun's work include Visual Attention and Saliency Detection (12 papers), Aesthetic Perception and Analysis (7 papers) and Image Enhancement Techniques (6 papers). Meijun Sun is often cited by papers focused on Visual Attention and Saliency Detection (12 papers), Aesthetic Perception and Analysis (7 papers) and Image Enhancement Techniques (6 papers). Meijun Sun collaborates with scholars based in China, United Kingdom and United Arab Emirates. Meijun Sun's co-authors include Zheng Wang, Jinchang Ren, Jianmin Jiang, Huimin Zhao, Li Liu, Dong Zhang, Zheng Wang, Zheng Wang, Yahong Han and Ziqi Zhou and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Meijun Sun

61 papers receiving 730 citations

Author Peers

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

Author Last Decade Papers Cites
Meijun Sun 334 152 92 82 81 63 749
Nikolay Petkov 497 1.5× 176 1.2× 126 1.4× 56 0.7× 52 0.6× 55 892
Jiangbin Zheng 358 1.1× 190 1.3× 161 1.8× 24 0.3× 14 0.2× 73 840
Snehasis Mukherjee 441 1.3× 121 0.8× 276 3.0× 33 0.4× 39 0.5× 43 886
Richard Lepage 239 0.7× 140 0.9× 77 0.8× 11 0.1× 30 0.4× 54 815
Filippo Stanco 493 1.5× 106 0.7× 67 0.7× 15 0.2× 18 0.2× 69 777
Shujian Yu 317 0.9× 99 0.7× 339 3.7× 49 0.6× 75 0.9× 65 858
Jiangbin Zheng 231 0.7× 248 1.6× 169 1.8× 49 0.6× 16 0.2× 24 735
Hélène Laurent 517 1.5× 86 0.6× 110 1.2× 29 0.4× 18 0.2× 37 867
Michal Haindl 502 1.5× 119 0.8× 77 0.8× 19 0.2× 35 0.4× 85 726
Patrick Lambert 418 1.3× 149 1.0× 82 0.9× 65 0.8× 13 0.2× 60 731

Countries citing papers authored by Meijun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Meijun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meijun Sun

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