Qiwei Wang
Impact in
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- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Machine Learning and ELM
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 3
- Topic Modeling 3
- Organizational and Employee Performance 1
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- Web Data Mining and Analysis 1
- Co-authors
- Zhihong Qi (1 shared paper)Da-Wei Zhou (1 shared paper)Han-Jia Ye (2 shared papers)De‐Chuan Zhan (2 shared papers)Ziwei Liu (1 shared paper)Kai Shuang (3 shared papers)Dewen Cheng (1 shared paper)Qichao Hou (1 shared paper)
- Journals
- Information Processing & Management (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Medical Imaging and Health Informatics (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)Journal of Education Humanities and Social Sciences (1 paper)
In The Last Decade
Qiwei Wang
8 papers receiving 101 citations
Qiwei Wang's Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 57
- Health Informatics 2
- Media Technology 11
- Computer Vision and Pattern Recognition 23
- Health Information Management 3
Countries citing papers authored by Qiwei Wang
This map shows the geographic impact of Qiwei Wang'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 Qiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiwei Wang more than expected).
Fields of papers citing papers by Qiwei Wang
This network shows the impact of papers produced by Qiwei Wang. 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 Qiwei Wang. The network helps show where Qiwei Wang may publish in the future.
Co-authors
The 14 scholars most cited alongside Qiwei Wang, 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 | Class-Incremental Learning: A Survey Hit paper breakdown → | 2024 | 76 |
| 2 | 2023 | 9 | |
| 3 | 2016 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2019 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2017 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2021 | 0 |
About Qiwei Wang
Qiwei Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Networks and Communications, having authored 11 papers that have together received 104 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Topic Modeling (3 papers), Multimodal Machine Learning Applications (2 papers), Web Data Mining and Analysis (1 paper), Interactive and Immersive Displays (1 paper), Remote Sensing in Agriculture (1 paper), Hand Gesture Recognition Systems (1 paper) and Organizational and Employee Performance (1 paper). The work is most often cited by research in Artificial Intelligence (57 citations), Health Informatics (2 citations), Media Technology (11 citations), Computer Vision and Pattern Recognition (23 citations) and Health Information Management (3 citations). Qiwei Wang has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Zhihong Qi, Da-Wei Zhou, Han-Jia Ye, De‐Chuan Zhan, Ziwei Liu, Kai Shuang, Dewen Cheng, Qichao Hou, Yongtian Wang and Yikai Zhang. Their work appears in journals such as Information Processing & Management, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Medical Imaging and Health Informatics, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Journal of Education Humanities and Social Sciences.
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.