Changmao Cheng

1.3k total citations · 1 hit paper
6 papers, 833 citations indexed

About

Changmao Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Changmao Cheng has authored 6 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Changmao Cheng's work include Neural Networks and Applications (2 papers), Face Recognition and Perception (2 papers) and Face recognition and analysis (2 papers). Changmao Cheng is often cited by papers focused on Neural Networks and Applications (2 papers), Face Recognition and Perception (2 papers) and Face recognition and analysis (2 papers). Changmao Cheng collaborates with scholars based in China, Australia and United States. Changmao Cheng's co-authors include Yichen Wei, Yuhan Zhang, Liang Zheng, Zhongdao Wang, Yifan Sun, Chi Zhang, Jie Chang, Yu–Gang Jiang, Yanwei Fu and Chi Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing and ANU Open Research (Australian National University).

In The Last Decade

Changmao Cheng

6 papers receiving 809 citations

Hit Papers

Circle Loss: A Unified Perspective of Pair Similarity Opt... 2020 2026 2022 2024 2020 200 400 600

Peers

Changmao Cheng
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 609
  • Artificial Intelligence 266
  • Signal Processing 133
  • Biomedical Engineering 75
  • Aerospace Engineering 67
Replace Yuhan Zhang with:
Yuhan Zhang China
Zhongdao Wang China
Laurent Wendling France
Teófilo de Campos United Kingdom
Boubakeur Boufama Canada
Bo Peng China
Rohit Girdhar United States
Matt Feiszli Israel
Huan Ling China
Yuhan Zhang China View profile →
Citations per field, relative to Changmao Cheng
Changmao Cheng · 1×
Citations per year, relative to Changmao Cheng
Changmao Cheng · 1×

Countries citing papers authored by Changmao Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Changmao Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changmao Cheng

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 193
2 6
3
Circle Loss: A Unified Perspective of Pair Similarity Optimization breakdown →
616
4 11
5 6
6
Left-Right Skip-DenseNets for Coarse-to-Fine Object Categorization.
1

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