Y. Ding
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- AI in cancer detection
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Spam and Phishing Detection
Papers in
-
- Imbalanced Data Classification Techniques 2
- Domain Adaptation and Few-Shot Learning 2
- Machine Learning and ELM 2
- Topic Modeling 2
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Qing Liao (8 shared papers)Xuan Wang (2 shared papers)Qiong Luo (2 shared papers)Zoe L. Jiang (2 shared papers)Lionel M. Ni (2 shared papers)Wenyi Zhang (1 shared paper)Hao Han (1 shared paper)Wen Xia (1 shared paper)
In The Last Decade
Y. Ding
13 papers receiving 411 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 218
- Information Systems 133
- Signal Processing 53
- Management Science and Operations Research 44
- Computer Networks and Communications 77
Countries citing papers authored by Y. Ding
This map shows the geographic impact of Y. 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 Y. Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Ding more than expected).
Fields of papers citing papers by Y. Ding
This network shows the impact of papers produced by Y. 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 Y. Ding. The network helps show where Y. Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Y. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 111 | |
| 2 | 2020 | 110 | |
| 3 | 2021 | 66 | |
| 4 | 2018 | 61 | |
| 5 | 2020 | 52 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2023 | 1 |
About Y. Ding
Y. Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Control and Systems Engineering, having authored 13 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Imbalanced Data Classification Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and ELM (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Topic Modeling (2 papers), Data Management and Algorithms (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Artificial Intelligence (218 citations), Information Systems (133 citations), Signal Processing (53 citations), Management Science and Operations Research (44 citations) and Computer Networks and Communications (77 citations). Y. Ding has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Qing Liao, Xuan Wang, Qiong Luo, Zoe L. Jiang, Lionel M. Ni, Wenyi Zhang, Hao Han, Wen Xia, Xiang Zhang and Lei Wang. Their work appears in journals such as Neurocomputing, Decision Support Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Internet of Things Journal and IEEE Transactions on Cybernetics.
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.