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
- Speech Recognition and Synthesis
- Machine Learning in Healthcare
Papers in
-
- Topic Modeling 4
- Natural Language Processing Techniques 3
- Data Stream Mining Techniques 2
- Speech Recognition and Synthesis 1
- Fuzzy Logic and Control Systems 1
- Reinforcement Learning in Robotics 1
-
- Multimodal Machine Learning Applications 3
- Co-authors
- Zhiyuan Liu (6 shared papers)Yulin Chen (1 shared paper)Yujia Qin (3 shared papers)Jianfei Chen (1 shared paper)Yusheng Su (2 shared papers)Yang Liu (1 shared paper)Guang Yang (1 shared paper)Hai-Tao Zheng (1 shared paper)
- 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
6 papers receiving 518 citations
Weize Chen's Hit Papers
Peers
Comparison fields: 5 of 92
- Health Informatics 23
- Artificial Intelligence 254
- Computer Vision and Pattern Recognition 81
- Signal Processing 27
- Software 10
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 | 516 |
| 2 | 2024 | 20 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 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 6 papers that have together received 542 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Multimodal Machine Learning Applications (3 papers), Natural Language Processing Techniques (3 papers), Data Stream Mining Techniques (2 papers), Web Data Mining and Analysis (1 paper), Speech Recognition and Synthesis (1 paper), Fuzzy Logic and Control Systems (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Health Informatics (23 citations), Artificial Intelligence (254 citations), Computer Vision and Pattern Recognition (81 citations), Signal Processing (27 citations) and Software (10 citations). Weize Chen has collaborated with scholars based in China. Frequent co-authors include Zhiyuan Liu, Yulin Chen, Yujia Qin, Jianfei Chen, Yusheng Su, Yang Liu, Guang Yang, Hai-Tao Zheng, Ning Ding and Zonghan Yang. 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.