Qiong Chen
Impact in
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Domain Adaptation and Few-Shot Learning 7
- Imbalanced Data Classification Techniques 2
- Text and Document Classification Technologies 2
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- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 2
- Co-authors
- Xiaoming Qi (1 shared paper)Chuang Hu (1 shared paper)Fangming Liu (1 shared paper)Dan Wang (1 shared paper)Zimu Zheng (1 shared paper)T.S. Huang (2 shared papers)Zhiqun Li (1 shared paper)Yong Yang (2 shared papers)
In The Last Decade
Qiong Chen
12 papers receiving 252 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 143
- Health Information Management 17
- Health Informatics 4
- Computer Vision and Pattern Recognition 53
- Computer Networks and Communications 41
Countries citing papers authored by Qiong Chen
This map shows the geographic impact of Qiong 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 Qiong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiong Chen more than expected).
Fields of papers citing papers by Qiong Chen
This network shows the impact of papers produced by Qiong 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 Qiong Chen. The network helps show where Qiong Chen may publish in the future.
Co-authors
The 17 scholars most cited alongside Qiong 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 | 2020 | 161 | |
| 2 | 2019 | 35 | |
| 3 | 2021 | 19 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 10 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2009 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2008 | 1 | |
| 12 | 2006 | 1 | |
| 13 | 2009 | 1 | |
| 14 | 2024 | 0 |
About Qiong Chen
Qiong Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and General Energy, having authored 14 papers that have together received 263 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (3 papers), Imbalanced Data Classification Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Text and Document Classification Technologies (2 papers), Electricity Theft Detection Techniques (1 paper) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (143 citations), Health Information Management (17 citations), Health Informatics (4 citations), Computer Vision and Pattern Recognition (53 citations) and Computer Networks and Communications (41 citations). Qiong Chen has collaborated with scholars based in China, Cameroon and Hong Kong. Frequent co-authors include Xiaoming Qi, Chuang Hu, Fangming Liu, Dan Wang, Zimu Zheng, T.S. Huang, Zhiqun Li, Yong Yang, Giray Gözgör and Hemachandra Padhan. Their work appears in journals such as Neurocomputing, Neural Networks, Applied Intelligence, ACM Transactions on Multimedia Computing Communications and Applications and Knowledge-Based Systems.
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.