Yanghe Pan
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- AI in Service Interactions
Papers in
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- Privacy-Preserving Technologies in Data 12
- Cryptography and Data Security 4
- Adversarial Robustness in Machine Learning 2
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- Cloud Data Security Solutions 2
- Co-authors
- Zhou Su (13 shared papers)Yuntao Wang (15 shared papers)Tom H. Luan (5 shared papers)Jianbing Ni (4 shared papers)Ruidong Li (6 shared papers)Yi Deng (1 shared paper)Dusit Niyato (2 shared papers)Shui Yu (1 shared paper)
In The Last Decade
Yanghe Pan
17 papers receiving 290 citations
Yanghe Pan's Hit Papers
Peers
Comparison fields: 5 of 76
- Health Informatics 33
- Artificial Intelligence 132
- Computer Science Applications 21
- Safety Research 26
- Information Systems and Management 16
Countries citing papers authored by Yanghe Pan
This map shows the geographic impact of Yanghe Pan'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 Yanghe Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanghe Pan more than expected).
Fields of papers citing papers by Yanghe Pan
This network shows the impact of papers produced by Yanghe Pan. 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 Yanghe Pan. The network helps show where Yanghe Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanghe Pan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 203 | |
| 2 | Large Model-Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends Hit paper breakdown → | 2025 | 19 |
| 3 | 2021 | 17 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Yanghe Pan
Yanghe Pan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Computer Science Applications, having authored 21 papers that have together received 299 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (12 papers), Cryptography and Data Security (4 papers), Privacy, Security, and Data Protection (4 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), IoT and Edge/Fog Computing (2 papers), Adversarial Robustness in Machine Learning (2 papers), Cloud Data Security Solutions (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Health Informatics (33 citations), Artificial Intelligence (132 citations), Computer Science Applications (21 citations), Safety Research (26 citations) and Information Systems and Management (16 citations). Yanghe Pan has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Zhou Su, Yuntao Wang, Tom H. Luan, Jianbing Ni, Ruidong Li, Yi Deng, Dusit Niyato, Shui Yu, Jiawen Kang and Yuntao Wang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Cognitive Communications and Networking, IEEE Vehicular Technology Magazine and IEEE/ACM Transactions on Networking.
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.