Tianling Yang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
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- Ethics and Social Impacts of AI 5
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- Misinformation and Its Impacts 2
- Digital Economy and Work Transformation 2
- Co-authors
- Milagros Miceli (10 shared papers)Martin Schuessler (2 shared papers)Julian Posada (2 shared papers)Alex Hanna (3 shared papers)Peter W. Macfarlane (1 shared paper)Adriana Alvarado Garcia (2 shared papers)Marc A. Pohl (1 shared paper)Elaine O. Nsoesie (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (5 papers)Heart (1 paper)arXiv (Cornell University) (1 paper)Lirias (KU Leuven) (1 paper)Edinburgh Research Explorer (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Tianling Yang
9 papers receiving 292 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 26
- Safety Research 139
- Computer Science Applications 54
- Human-Computer Interaction 29
- Artificial Intelligence 84
Countries citing papers authored by Tianling Yang
This map shows the geographic impact of Tianling Yang'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 Tianling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianling Yang more than expected).
Fields of papers citing papers by Tianling Yang
This network shows the impact of papers produced by Tianling Yang. 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 Tianling Yang. The network helps show where Tianling Yang may publish in the future.
Co-authors
The 16 scholars most cited alongside Tianling Yang, 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 | 2020 | 104 | |
| 2 | 2022 | 83 | |
| 3 | 2021 | 63 | |
| 4 | 1994 | 24 | |
| 5 | 2022 | 17 | |
| 6 | 2025 | 4 | |
| 7 | 2025 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2026 | 0 | |
| 11 | 2026 | 0 |
About Tianling Yang
Tianling Yang is a scholar working on Safety Research, Sociology and Political Science, Artificial Intelligence, Communication and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (5 papers), Hate Speech and Cyberbullying Detection (2 papers), Misinformation and Its Impacts (2 papers), Data Visualization and Analytics (2 papers), Digital Economy and Work Transformation (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Innovative Human-Technology Interaction (2 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Health Informatics (26 citations), Safety Research (139 citations), Computer Science Applications (54 citations), Human-Computer Interaction (29 citations) and Artificial Intelligence (84 citations). Tianling Yang has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Milagros Miceli, Martin Schuessler, Julian Posada, Alex Hanna, Peter W. Macfarlane, Adriana Alvarado Garcia, Marc A. Pohl, Elaine O. Nsoesie, Oliver L. Haimson and Timnit Gebru. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Heart, arXiv (Cornell University), Lirias (KU Leuven) and Edinburgh Research Explorer.
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.