Fan Ma

894 total citations
22 papers, 476 citations indexed

About

Fan Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Fan Ma has authored 22 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. Recurrent topics in Fan Ma's work include Human Pose and Action Recognition (6 papers), Advanced Neural Network Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Fan Ma is often cited by papers focused on Human Pose and Action Recognition (6 papers), Advanced Neural Network Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Fan Ma collaborates with scholars based in China, Australia and Singapore. Fan Ma's co-authors include Yi Yang, Deyu Meng, Xuanyi Dong, Liang Zheng, Linchao Zhu, Zhicheng Yan, Haoqi Fan, Mike Zheng Shou, Cheng Deng and Hao Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Energy and IEEE Access.

In The Last Decade

Fan Ma

21 papers receiving 466 citations

Peers

Fan Ma
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 363
  • Artificial Intelligence 184
  • Aerospace Engineering 39
  • Media Technology 32
  • Biomedical Engineering 27
Replace Liqi Yan with:
Liqi Yan China
Mohamed Elhoseiny United States
Yousong Zhu China
Da‐Han Wang China
Haoran Wang China
Yancheng Bai China
Shangzhen Luan China
Huaxin Xiao China
Nima Razavi Switzerland
Tao Gong China
Liqi Yan China View profile →
Citations per field, relative to Fan Ma
Fan Ma · 1×
Citations per year, relative to Fan Ma
Fan Ma · 1×

Countries citing papers authored by Fan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Fan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Ma. A scholar is included among the top collaborators of Fan 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 Fan Ma. Fan Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 4
4 2
5 7
6 8
7 2
8 24
9 7
10 6
11 13
12 89
13 30
14
Self-paced Multi-view Co-training
37
15 36
16 122
17
Few-shot Object Detection
4
18
Self-paced co-training
42
19 27
20 11

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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