Surong Yan
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
Papers in
-
- Advanced Graph Neural Networks 7
- Topic Modeling 6
- Cryptography and Data Security 3
-
- Recommender Systems and Techniques 10
- Spam and Phishing Detection 3
- Co-authors
- Xiaolin Zheng (8 shared papers)Wenyu Zhang (4 shared papers)Kwei-Jay Lin (7 shared papers)Yan Wang (2 shared papers)William Wei Song (1 shared paper)Deren Chen (4 shared papers)Chi‐Sheng Shih (1 shared paper)Yixiao Li (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (3 papers)Expert Systems with Applications (3 papers)ACM Transactions on Information Systems (2 papers)Knowledge-Based Systems (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Surong Yan
28 papers receiving 305 citations
Peers
Comparison fields: 5 of 71
- Information Systems 123
- Artificial Intelligence 126
- Computer Networks and Communications 70
- Computer Vision and Pattern Recognition 56
- Statistical and Nonlinear Physics 27
Countries citing papers authored by Surong Yan
This map shows the geographic impact of Surong Yan'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 Surong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surong Yan more than expected).
Fields of papers citing papers by Surong Yan
This network shows the impact of papers produced by Surong Yan. 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 Surong Yan. The network helps show where Surong Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Surong Yan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 53 | |
| 2 | 2018 | 32 | |
| 3 | 2023 | 27 | |
| 4 | 2021 | 24 | |
| 5 | 2017 | 24 | |
| 6 | 2019 | 23 | |
| 7 | 2014 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2011 | 11 | |
| 12 | 2013 | 10 | |
| 13 | 2014 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2010 | 3 | |
| 19 | 2010 | 3 | |
| 20 | 2024 | 2 |
About Surong Yan
Surong Yan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 312 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Advanced Graph Neural Networks (7 papers), Topic Modeling (6 papers), Context-Aware Activity Recognition Systems (4 papers), Cryptography and Data Security (3 papers), Spam and Phishing Detection (3 papers), Access Control and Trust (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Information Systems (123 citations), Artificial Intelligence (126 citations), Computer Networks and Communications (70 citations), Computer Vision and Pattern Recognition (56 citations) and Statistical and Nonlinear Physics (27 citations). Surong Yan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaolin Zheng, Wenyu Zhang, Kwei-Jay Lin, Yan Wang, William Wei Song, Deren Chen, Chi‐Sheng Shih, Yixiao Li, Guodong Wei and Shuaikai Xu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Expert Systems with Applications, ACM Transactions on Information Systems, Knowledge-Based Systems and Evidence-based Complementary and Alternative Medicine.
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.