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
-
- Misinformation and Its Impacts 8
-
- Explainable Artificial Intelligence (XAI) 4
- Topic Modeling 4
- Machine Learning in Healthcare 3
- Hate Speech and Cyberbullying Detection 2
- Co-authors
- Brian Y. Lim (4 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)Yang Li (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)Information Processing & Management (1 paper)Frontiers of Computer Science (1 paper)ArXiv.org (1 paper)Research Repository (Delft University of Technology) (1 paper)
In The Last Decade
Danding Wang
15 papers receiving 991 citations
Danding Wang's Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 173
- Safety Research 290
- Artificial Intelligence 698
- Human-Computer Interaction 87
- General Decision Sciences 26
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 | 2019 | 460 | |
| 2 | Trends and Trajectories for Explainable, Accountable and Intelligible Systems Hit paper breakdown → | 2018 | 423 |
| 3 | Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection Hit paper breakdown → | 2024 | 67 |
| 4 | Why these Explanations? Selecting Intelligibility Types for Explanation Goals. | 2019 | 16 |
| 5 | 2021 | 16 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 10 | |
| 9 | 2024 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Danding Wang
Danding Wang is a scholar working on Sociology and Political Science, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (8 papers), Spam and Phishing Detection (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Topic Modeling (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 (173 citations), Safety Research (290 citations), Artificial Intelligence (698 citations), Human-Computer Interaction (87 citations) and General Decision Sciences (26 citations). Danding Wang has collaborated with scholars based in China, Singapore and Denmark. Frequent co-authors include Brian Y. Lim, Ashraf Abdul, Qian Yang, Mohan Kankanhalli, Jo Vermeulen, Juan Cao, Qiang Sheng, Yang Li, Yuhui Shi and Wencan Zhang. Their work appears in journals such as Artificial Intelligence, Information Processing & Management, Frontiers of Computer Science, ArXiv.org and Research Repository (Delft University of Technology).
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.