Yasan Ding
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Hate Speech and Cyberbullying Detection
- Sociology and Political Science top 10%
- Misinformation and Its Impacts
Papers in
-
- Topic Modeling 7
- Anomaly Detection Techniques and Applications 4
- Speech and dialogue systems 4
-
- Multimodal Machine Learning Applications 5
- Human Pose and Action Recognition 3
- Co-authors
- Zhiwen Yu (23 shared papers)Bin Guo (19 shared papers)Lina Yao (5 shared papers)Yunji Liang (2 shared papers)Sicong Liu (5 shared papers)Jiaqi Liu (3 shared papers)Chen Qiu (2 shared papers)Yan Liu (6 shared papers)
In The Last Decade
Yasan Ding
23 papers receiving 218 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 93
- Sociology and Political Science 119
- Information Systems 61
- Communication 17
- Statistical and Nonlinear Physics 23
Countries citing papers authored by Yasan Ding
This map shows the geographic impact of Yasan 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 Yasan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasan Ding more than expected).
Fields of papers citing papers by Yasan Ding
This network shows the impact of papers produced by Yasan 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 Yasan Ding. The network helps show where Yasan Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yasan 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2022 | 39 | |
| 3 | 2020 | 23 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 14 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 1 |
About Yasan Ding
Yasan Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Computer Networks and Communications, having authored 28 papers that have together received 225 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers), Multimodal Machine Learning Applications (5 papers), Anomaly Detection Techniques and Applications (4 papers), Speech and dialogue systems (4 papers), Spam and Phishing Detection (4 papers), Human Pose and Action Recognition (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Artificial Intelligence (93 citations), Sociology and Political Science (119 citations), Information Systems (61 citations), Communication (17 citations) and Statistical and Nonlinear Physics (23 citations). Yasan Ding has collaborated with scholars based in China, Australia and Finland. Frequent co-authors include Zhiwen Yu, Bin Guo, Lina Yao, Yunji Liang, Sicong Liu, Jiaqi Liu, Chen Qiu, Yan Liu, Shuai Ma and Yueheng Sun. Their work appears in journals such as Frontiers of Computer Science, Information Processing & Management, ACM Transactions on Intelligent Systems and Technology, IEEE Communications Surveys & Tutorials and ACM Transactions on Knowledge Discovery from Data.
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.