Chao Ma

12.4k total citations · 9 hit papers
116 papers, 5.9k citations indexed

About

Chao Ma is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Chao Ma has authored 116 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 23 papers in Electrical and Electronic Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Chao Ma's work include Video Surveillance and Tracking Methods (30 papers), Advanced Neural Network Applications (16 papers) and Image Enhancement Techniques (12 papers). Chao Ma is often cited by papers focused on Video Surveillance and Tracking Methods (30 papers), Advanced Neural Network Applications (16 papers) and Image Enhancement Techniques (12 papers). Chao Ma collaborates with scholars based in China, United States and Australia. Chao Ma's co-authors include Ming–Hsuan Yang, Xiaokang Yang, Jia‐Bin Huang, Xiaokang Yang, Chongyang Zhang, Xiankai Lu, Chih‐Yuan Yang, Ming Zhu, Yibing Song and Jianbing Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Chao Ma

100 papers receiving 5.7k citations

Hit Papers

Hierarchical Convolutional Features for Visual Tracking 2015 2026 2018 2022 2015 2015 2019 2017 2019 400 800 1.2k

Peers

Chao Ma
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 5.1k
  • Aerospace Engineering 1.3k
  • Safety, Risk, Reliability and Quality 893
  • Artificial Intelligence 585
  • Media Technology 549
Replace Jorge Batista with:
Jorge Batista Portugal
Yi Wu China
João F. Henriques United Kingdom
Martin Danelljan Switzerland
Rui Caseiro Portugal
J. Ross Beveridge United States
Zheng Zhu China
Pedro Martins Portugal
Jorge Batista Portugal View profile →
Citations per field, relative to Chao Ma
Chao Ma · 1×
Citations per year, relative to Chao Ma
Chao Ma · 1×

Countries citing papers authored by Chao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Ma. A scholar is included among the top collaborators of Chao 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 Chao Ma. Chao 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 1
2 2
3 19
4 0
5 0
6 1
7 1
8 1
9 7
10 1
11 14
12 18
13 3
14 19
15 1
16 23
17 15
18 46
19
Depth-Aware Video Frame Interpolation breakdown →
325
20
Bergeron Model Based Distance Protection for Long Transmission Lines
6

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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