Chaofan Chen
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Machine Learning in Healthcare
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Explainable Artificial Intelligence (XAI) 8
- AI in cancer detection 5
- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 4
- Adversarial Robustness in Machine Learning 3
- Machine Learning and ELM 3
-
- Network Security and Intrusion Detection 3
- Co-authors
- Cynthia Rudin (10 shared papers)Oscar Li (3 shared papers)Chudi Zhong (1 shared paper)Zhi Chen (1 shared paper)Haiyang Huang (1 shared paper)Lesia Semenova (1 shared paper)Hao Liu (1 shared paper)Alina Jade Barnett (7 shared papers)
- Journals
- Scientific Reports (2 papers)Frontiers in Aging Neuroscience (1 paper)Electronics (1 paper)Biomedical Optics Express (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Chaofan Chen
30 papers receiving 1.2k citations
Chaofan Chen's Hit Papers
Peers
Comparison fields: 5 of 157
- Health Informatics 98
- Artificial Intelligence 768
- Computer Vision and Pattern Recognition 236
- Signal Processing 50
- Safety Research 37
Countries citing papers authored by Chaofan Chen
This map shows the geographic impact of Chaofan 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 Chaofan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaofan Chen more than expected).
Fields of papers citing papers by Chaofan Chen
This network shows the impact of papers produced by Chaofan 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 Chaofan Chen. The network helps show where Chaofan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaofan 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interpretable machine learning: Fundamental principles and 10 grand challenges Hit paper breakdown → | 2022 | 440 |
| 2 | 2018 | 232 | |
| 3 | 2019 | 111 | |
| 4 | 2021 | 82 | |
| 5 | This Looks Like That: Deep Learning for Interpretable Image Recognition | 2019 | 76 |
| 6 | 2019 | 55 | |
| 7 | 2022 | 53 | |
| 8 | 2021 | 48 | |
| 9 | 2021 | 30 | |
| 10 | 2023 | 29 | |
| 11 | 2022 | 27 | |
| 12 | 2020 | 15 | |
| 13 | 2024 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 4 |
About Chaofan Chen
Chaofan Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (8 papers), Multimodal Machine Learning Applications (5 papers), AI in cancer detection (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (3 papers), Machine Learning and ELM (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Health Informatics (98 citations), Artificial Intelligence (768 citations), Computer Vision and Pattern Recognition (236 citations), Signal Processing (50 citations) and Safety Research (37 citations). Chaofan Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Cynthia Rudin, Oscar Li, Chudi Zhong, Zhi Chen, Haiyang Huang, Lesia Semenova, Hao Liu, Alina Jade Barnett, Jon Donnelly and Xiaoshan Yang. Their work appears in journals such as Scientific Reports, Frontiers in Aging Neuroscience, Electronics, Biomedical Optics Express and Frontiers in Psychology.
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.