Weize Chen
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Machine Learning in Healthcare
- Speech Recognition and Synthesis
Papers in
-
- Topic Modeling 3
- Data Stream Mining Techniques 2
- Natural Language Processing Techniques 2
- Reinforcement Learning in Robotics 1
- Fuzzy Logic and Control Systems 1
-
- Multimodal Machine Learning Applications 2
- Co-authors
- Zhiyuan Liu (5 shared papers)Maosong Sun (4 shared papers)Hai-Tao Zheng (1 shared paper)Jianfei Chen (1 shared paper)Zonghan Yang (1 shared paper)Weilin Zhao (1 shared paper)Guang Yang (1 shared paper)Ning Ding (2 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Proceedings of the VLDB Endowment (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- China
In The Last Decade
Weize Chen
5 papers receiving 417 citations
Weize Chen's Hit Papers
Peers
Comparison fields: 5 of 88
- Health Informatics 23
- Artificial Intelligence 226
- Computer Vision and Pattern Recognition 67
- Software 10
- Signal Processing 25
Countries citing papers authored by Weize Chen
This map shows the geographic impact of Weize 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 Weize Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weize Chen more than expected).
Fields of papers citing papers by Weize Chen
This network shows the impact of papers produced by Weize 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 Weize Chen. The network helps show where Weize Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weize 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 | Parameter-efficient fine-tuning of large-scale pre-trained language models Hit paper breakdown → | 2023 | 420 |
| 2 | 2024 | 15 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2025 | 1 |
About Weize Chen
Weize Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Infectious Diseases, having authored 5 papers that have together received 440 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Data Stream Mining Techniques (2 papers), Natural Language Processing Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Reinforcement Learning in Robotics (1 paper), Network Security and Intrusion Detection (1 paper), Web Data Mining and Analysis (1 paper) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Health Informatics (23 citations), Artificial Intelligence (226 citations), Computer Vision and Pattern Recognition (67 citations), Software (10 citations) and Signal Processing (25 citations). Weize Chen has collaborated with scholars based in China. Frequent co-authors include Zhiyuan Liu, Maosong Sun, Hai-Tao Zheng, Jianfei Chen, Zonghan Yang, Weilin Zhao, Guang Yang, Ning Ding, Yulin Chen and Yusheng Su. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Proceedings of the VLDB Endowment and Nature Machine 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.