Zezhou Cheng

46 total papers · 939 total citations
16 papers, 532 citations indexed

About

Zezhou Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecology. According to data from OpenAlex, Zezhou Cheng has authored 16 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Ecology. Recurrent topics in Zezhou Cheng's work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Species Distribution and Climate Change (3 papers). Zezhou Cheng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Species Distribution and Climate Change (3 papers). Zezhou Cheng collaborates with scholars based in United States, Hong Kong and China. Zezhou Cheng's co-authors include Qingxiong Yang, Bin Sheng, Subhransu Maji, Daniel Sheldon, Matheus Gadelha, Jong-Chyi Su, Bin Sheng, Oindrila Saha, Carlos Esteves and Ameesh Makadia and has published in prestigious journals such as Journal of Materials Chemistry A, Global Change Biology and IEEE Transactions on Image Processing.

In The Last Decade

Zezhou Cheng

14 papers receiving 511 citations

Hit Papers

Deep Colorization 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Zezhou Cheng 413 93 55 32 30 16 532
Yuh-Tay Liow 399 1.0× 137 1.5× 57 1.0× 16 0.5× 34 1.1× 9 544
Giuseppe Pápari 428 1.0× 134 1.4× 41 0.7× 38 1.2× 24 0.8× 20 575
Søren Ingvor Olsen 395 1.0× 128 1.4× 60 1.1× 16 0.5× 14 0.5× 22 564
Baris Sumengen 366 0.9× 95 1.0× 68 1.2× 11 0.3× 18 0.6× 24 501
Peter Geißler 251 0.6× 83 0.9× 37 0.7× 11 0.3× 29 1.0× 31 556
Zhenyao Wu 371 0.9× 61 0.7× 99 1.8× 13 0.4× 13 0.4× 22 560
C. Mario Christoudias 390 0.9× 102 1.1× 151 2.7× 19 0.6× 14 0.5× 16 566
Makarand Velankar 433 1.0× 85 0.9× 130 2.4× 7 0.2× 24 0.8× 21 575
Wei Huang 261 0.6× 124 1.3× 205 3.7× 9 0.3× 19 0.6× 18 560
Ruiqi Guo 444 1.1× 107 1.2× 27 0.5× 43 1.3× 6 0.2× 14 529

Countries citing papers authored by Zezhou Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Zezhou Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zezhou Cheng

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