Kaisheng Ma

76 papers receiving 2.5k citations

Hit Papers

Be Your Own Teacher: Improve the Performance of Convoluti...20192026202120232019100200300400500

Peers

Kaisheng Ma
Comparison fields: 5 of 103
  • Electrical and Electronic Engineering 1.2k
  • Computer Vision and Pattern Recognition 796
  • Artificial Intelligence 639
  • Hardware and Architecture 354
  • Computer Networks and Communications 322
Replace Theocharis Theocharides with:
Theocharis Theocharides Cyprus
Hongbin Sun China
Jun Lin China
Tao Luo China
Yangang Wang China
Xinming Huang United States
Xingyu Liu China
Abdellatif Mtibaa Tunisia
Yuzhe Ma Hong Kong
Li Jiang China
Kaisheng Ma relative to Theocharis Theocharides Cyprus Theocharis Theocharides's profile →
Citations per field
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Theocharis Theocharides · 1×
Citations per year

Countries citing papers authored by Kaisheng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Kaisheng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaisheng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Kaisheng Ma. A scholar is included among the top collaborators of Kaisheng 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 Kaisheng Ma. Kaisheng 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
#WorkIndexed citations
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Task-Oriented Feature Distillation
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Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillationbreakdown →
557
16 29
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About Kaisheng Ma

Kaisheng Ma is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 83 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (18 papers), Energy Harvesting in Wireless Networks (17 papers) and Advanced Memory and Neural Computing (17 papers). The work is most often cited by research in Hardware and Architecture (354 citations), Computer Vision and Pattern Recognition (796 citations) and Electrical and Electronic Engineering (1.2k citations). Kaisheng Ma has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Linfeng Zhang, Chenglong Bao, Xueqing Li, Vijaykrishnan Narayanan, Jiebo Song, Jingwei Chen, Yongpan Liu, Yuan Xie, John J. Sampson and Suman Datta. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Electron Devices and IEEE Transactions on Neural Networks and Learning Systems.

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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