Changmao Cheng

1.3k citations
6 papers · 833 indexed · 1 hit paper · h-index 5
Topics
Neural Networks and Applications (2 papers)Face Recognition and Perception (2 papers)Face recognition and analysis (2 papers)
Journals
IEEE Transactions on Image ProcessingANU 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...20202026202220242020200400600

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
Laurent Wendling France
Zhongdao Wang China
Huan Ling China
Alaaeldin El-Nouby Sweden
Pengfei Xu China
Yuhan Wang China
Muzammal Naseer United Arab Emirates
Changmao Cheng relative to Yuhan Zhang China Yuhan Zhang's profile →
Citations per field
00.5×1.5×
Yuhan Zhang · 1×
Citations per year

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

About Changmao Cheng

Changmao Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 6 papers that have together received 833 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Face Recognition and Perception (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (609 citations), Signal Processing (133 citations) and Artificial Intelligence (266 citations). Changmao Cheng has collaborated with scholars based in China, Australia and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Image Processing and ANU Open Research (Australian National University).

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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