Weiping Ding
Impact in
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- Multi-Criteria Decision Making
- Stock Market Forecasting Methods
Papers in
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- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 3
- Fuzzy Logic and Control Systems 3
- Advanced Text Analysis Techniques 3
- Anomaly Detection Techniques and Applications 2
- Domain Adaptation and Few-Shot Learning 2
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- Multi-Criteria Decision Making 3
- Co-authors
- Wei Wang (1 shared paper)Yuanpeng Zhang (1 shared paper)Jiqiang Liu (1 shared paper)Li Duan (1 shared paper)Ripon K. Chakrabortty (1 shared paper)Daryl Essam (1 shared paper)Muhammad Akram (3 shared papers)Muhammad Jabir Khan (3 shared papers)
In The Last Decade
Weiping Ding
25 papers receiving 256 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 7
- Management Science and Operations Research 59
- Artificial Intelligence 102
- Information Systems 62
- Health Information Management 7
Countries citing papers authored by Weiping Ding
This map shows the geographic impact of Weiping Ding'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 Weiping Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiping Ding more than expected).
Fields of papers citing papers by Weiping Ding
This network shows the impact of papers produced by Weiping Ding. 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 Weiping Ding. The network helps show where Weiping Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiping Ding, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 45 | |
| 2 | 2024 | 28 | |
| 3 | 2022 | 28 | |
| 4 | 2022 | 25 | |
| 5 | 2023 | 20 | |
| 6 | 2025 | 17 | |
| 7 | 2024 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2024 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Weiping Ding
Weiping Ding is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 29 papers that have together received 261 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (3 papers), Fuzzy Logic and Control Systems (3 papers), Multi-Criteria Decision Making (3 papers), Advanced Text Analysis Techniques (3 papers), COVID-19 epidemiological studies (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Health Informatics (7 citations), Management Science and Operations Research (59 citations), Artificial Intelligence (102 citations), Information Systems (62 citations) and Health Information Management (7 citations). Weiping Ding has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include Wei Wang, Yuanpeng Zhang, Jiqiang Liu, Li Duan, Ripon K. Chakrabortty, Daryl Essam, Muhammad Akram, Muhammad Jabir Khan, Shu Jiang and Jianming Zhan. Their work appears in journals such as Applied Soft Computing, Expert Systems with Applications, Information Fusion, Applied Intelligence and Engineering Applications of Artificial 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.