Dakuo Wang
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Human-Computer Interaction top 1%
- Innovative Human-Technology Interaction
Papers in
- Co-authors
- Michael MüllerXiangmin FanCasey DuganAmy X. ZhangZhan ZhangBingsheng YaoThomas EricksonMark Warschauer
- Journals
- Proceedings of the ACM on Human-Computer Interaction (12 papers)ACM Transactions on Computer-Human Interaction (4 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)Journal of Medical Internet Research (2 papers)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Dakuo Wang
89 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Health Informatics 240
- Human-Computer Interaction 310
- Computer Science Applications 232
- Information Systems and Management 284
- Safety Research 310
Countries citing papers authored by Dakuo Wang
This map shows the geographic impact of Dakuo 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 Dakuo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dakuo Wang more than expected).
Fields of papers citing papers by Dakuo Wang
This network shows the impact of papers produced by Dakuo 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 Dakuo Wang. The network helps show where Dakuo Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dakuo 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | Mental-LLM Hit paper breakdown → | 2024 | 78 |
| 7 | 2024 | 4 | |
| 8 | 2024 | 35 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 5 | |
| 16 | How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. | 2021 | 4 |
| 17 | 2021 | 47 | |
| 18 | 2020 | 92 | |
| 19 | A Formal Method for AutoML via ADMM | 2019 | 1 |
| 20 | 2019 | 15 |
About Dakuo Wang
Dakuo Wang is a scholar working on Health Informatics, Computer Science Applications, Artificial Intelligence, Information Systems and Management and Human-Computer Interaction, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include Topic Modeling (22 papers), AI in Service Interactions (13 papers), Natural Language Processing Techniques (10 papers), Software Engineering Research (9 papers), Explainable Artificial Intelligence (XAI) (9 papers), Ethics and Social Impacts of AI (8 papers), Scientific Computing and Data Management (8 papers) and Speech and dialogue systems (7 papers). The work is most often cited by research in Health Informatics (240 citations), Human-Computer Interaction (310 citations), Computer Science Applications (232 citations), Information Systems and Management (284 citations) and Safety Research (310 citations). Dakuo Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Michael Müller, Xiangmin Fan, Casey Dugan, Amy X. Zhang, Zhan Zhang, Bingsheng Yao, Thomas Erickson, Mark Warschauer, Feng Tian and Philipp Geyer. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Journal of Medical Internet Research and IEEE Journal of Biomedical and Health Informatics.
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.