Xiaohan Chen
Impact in
-
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Domain Adaptation and Few-Shot Learning
- Internet Traffic Analysis and Secure E-voting
-
- Advanced Neural Network Applications
Papers in
-
- Privacy-Preserving Technologies in Data 3
- Stochastic Gradient Optimization Techniques 3
- Adversarial Robustness in Machine Learning 2
- Domain Adaptation and Few-Shot Learning 2
- Machine Learning and ELM 1
-
- Advanced Neural Network Applications 3
- Co-authors
- Zhangyang Wang (8 shared papers)Haris Vikalo (1 shared paper)Haoran You (2 shared papers)Yang Zhao (3 shared papers)Yingyan Lin (3 shared papers)Chaojian Li (2 shared papers)Yonggan Fu (2 shared papers)Yuan Xie (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)arXiv (Cornell University) (1 paper)Advances in Education Humanities and Social Science Research (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesChinaMacao
In The Last Decade
Xiaohan Chen
7 papers receiving 105 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 84
- Computer Vision and Pattern Recognition 27
- Hardware and Architecture 5
- Health Informatics 1
- Neurology 6
Countries citing papers authored by Xiaohan Chen
This map shows the geographic impact of Xiaohan Chen'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 Xiaohan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Chen more than expected).
Fields of papers citing papers by Xiaohan Chen
This network shows the impact of papers produced by Xiaohan Chen. 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 Xiaohan Chen. The network helps show where Xiaohan Chen may publish in the future.
Co-authors
The 24 scholars most cited alongside Xiaohan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 54 | |
| 2 | 2020 | 30 | |
| 3 | 2023 | 9 | |
| 4 | 2021 | 7 | |
| 5 | Learning A Minimax Optimizer: A Pilot Study | 2021 | 3 |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy | 2019 | 0 |
| 9 | 2022 | 0 |
About Xiaohan Chen
Xiaohan Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Numerical Analysis, Epidemiology and Management Science and Operations Research, having authored 9 papers that have together received 105 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Advanced Neural Network Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and ELM (1 paper), Science Education and Perceptions (1 paper) and Advanced Bandit Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (84 citations), Computer Vision and Pattern Recognition (27 citations), Hardware and Architecture (5 citations), Health Informatics (1 citation) and Neurology (6 citations). Xiaohan Chen has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Zhangyang Wang, Haris Vikalo, Haoran You, Yang Zhao, Yingyan Lin, Chaojian Li, Yonggan Fu, Yuan Xie, Yue Wang and Tianlong Chen. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Rare & Special e-Zone (The Hong Kong University of Science and Technology), arXiv (Cornell University), Advances in Education Humanities and Social Science Research and Proceedings of the AAAI Conference on Artificial Intelligence.
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.