Kaisheng Ma

4.2k citations
83 papers · 2.5k indexed · 1 hit paper · h-index 25

Kaisheng Ma

76 papers receiving 2.5k citations

Hit Papers

Be Your Own Teacher: Improve the Performance of Convoluti...5572019202620212023100200300400500

Peers

Kaisheng Ma
Comparison fields: 5 of 103
  • Hardware and Architecture 354
  • Computer Vision and Pattern Recognition 796
  • Electrical and Electronic Engineering 1.2k
  • Artificial Intelligence 639
  • 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
00.5×11×
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

The 25 scholars most cited alongside Kaisheng Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaisheng Ma Line = papers co-authored together Kaisheng Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 20233
5 20234
6 202320
7 202323
8 202317
9 202321
10 20227
11 20227
12 202224
13 20205
14
Task-Oriented Feature Distillation
202017
15
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillationbreakdown →
2019557
16 201929
17 201774
18 201632
19 201512
20 201460

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), Advanced Memory and Neural Computing (17 papers), Semiconductor materials and devices (16 papers), Domain Adaptation and Few-Shot Learning (13 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Parallel Computing and Optimization Techniques (10 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 Micro, IEEE Transactions on Electron Devices, IEEE Transactions on Pattern Analysis and Machine Intelligence, Science China Information Sciences and IEEE Transactions on Circuits and Systems I Regular Papers.

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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