Danding Wang
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 1%
- Ethics and Social Impacts of AI
Papers in
-
- Topic Modeling 4
- Explainable Artificial Intelligence (XAI) 4
- Machine Learning in Healthcare 3
- Hate Speech and Cyberbullying Detection 2
-
- Misinformation and Its Impacts 8
- Co-authors
- Brian Y. Lim (5 shared papers)Ashraf Abdul (3 shared papers)Qian Yang (2 shared papers)Mohan Kankanhalli (1 shared paper)Jo Vermeulen (1 shared paper)Juan Cao (11 shared papers)Qiang Sheng (9 shared papers)Peng Qi (2 shared papers)
- Journals
- Artificial Intelligence (1 paper)Frontiers of Computer Science (1 paper)Information Processing & Management (1 paper)Research Repository (Delft University of Technology) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Danding Wang
17 papers receiving 1.2k citations
Danding Wang's Hit Papers
Peers
Comparison fields: 5 of 98
- Health Informatics 192
- Safety Research 334
- Artificial Intelligence 814
- Human-Computer Interaction 106
- Information Systems and Management 110
Countries citing papers authored by Danding Wang
This map shows the geographic impact of Danding 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 Danding Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danding Wang more than expected).
Fields of papers citing papers by Danding Wang
This network shows the impact of papers produced by Danding 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 Danding Wang. The network helps show where Danding Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Danding 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 | Designing Theory-Driven User-Centric Explainable AI Hit paper breakdown → | 2019 | 564 |
| 2 | Trends and Trajectories for Explainable, Accountable and Intelligible Systems Hit paper breakdown → | 2018 | 495 |
| 3 | Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection Hit paper breakdown → | 2024 | 83 |
| 4 | 2024 | 23 | |
| 5 | Why these Explanations? Selecting Intelligibility Types for Explanation Goals. | 2019 | 18 |
| 6 | 2021 | 17 | |
| 7 | 2024 | 16 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 2 | |
| 16 | Interpreting Intelligibility under Uncertain Data Imputation. | 2018 | 1 |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Danding Wang
Danding Wang is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (8 papers), Spam and Phishing Detection (4 papers), Topic Modeling (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Machine Learning in Healthcare (3 papers), Digital Media Forensic Detection (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Health Informatics (192 citations), Safety Research (334 citations), Artificial Intelligence (814 citations), Human-Computer Interaction (106 citations) and Information Systems and Management (110 citations). Danding Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Brian Y. Lim, Ashraf Abdul, Qian Yang, Mohan Kankanhalli, Jo Vermeulen, Juan Cao, Qiang Sheng, Peng Qi, Yang Li and Yuhui Shi. Their work appears in journals such as Artificial Intelligence, Frontiers of Computer Science, Information Processing & Management, Research Repository (Delft University of Technology) and Proceedings of the AAAI Conference on 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.