Zeyu Ma

74 total papers · 705 total citations
42 papers, 428 citations indexed

About

Zeyu Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Organic Chemistry. According to data from OpenAlex, Zeyu Ma has authored 42 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 4 papers in Organic Chemistry. Recurrent topics in Zeyu Ma's work include Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Zeyu Ma is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Zeyu Ma collaborates with scholars based in China, United States and Japan. Zeyu Ma's co-authors include Xiao Luo, Masayoshi Yamaguchi, Minghua Deng, Guangming Lu, Chong Chen, Wei Ju, Xian‐Sheng Hua, Jinxing Li, Tai‐Jiang Mu and Shi-Sheng Huang and has published in prestigious journals such as Nature Communications, Chemistry of Materials and Tectonophysics.

In The Last Decade

Zeyu Ma

38 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
Zeyu Ma 233 120 50 30 26 42 428
Jin Pan 140 0.6× 59 0.5× 43 0.9× 64 2.1× 7 0.3× 50 376
Jiajia Li 161 0.7× 115 1.0× 24 0.5× 19 0.6× 11 0.4× 35 463
Jiaqi Wang 314 1.3× 161 1.3× 61 1.2× 8 0.3× 55 2.1× 27 465
Yuhang Lu 243 1.0× 97 0.8× 57 1.1× 34 1.1× 3 0.1× 41 440
Hrvoje Džapo 124 0.5× 25 0.2× 64 1.3× 38 1.3× 6 0.2× 36 369
Runzhong Wang 249 1.1× 169 1.4× 11 0.2× 44 1.5× 5 0.2× 32 413
Yanan Zhang 234 1.0× 48 0.4× 19 0.4× 111 3.7× 5 0.2× 28 387
Zhen Sun 177 0.8× 32 0.3× 91 1.8× 104 3.5× 36 1.4× 66 465
Liyong Ma 88 0.4× 83 0.7× 100 2.0× 19 0.6× 4 0.2× 50 409
Yi Ge 68 0.3× 42 0.3× 20 0.4× 63 2.1× 6 0.2× 71 493

Countries citing papers authored by Zeyu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zeyu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeyu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Zeyu Ma. A scholar is included among the top collaborators of Zeyu Ma 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 Zeyu Ma. Zeyu Ma 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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2026