Yan Wang
- Information Systems top 0.05%
- Recommender Systems and Techniques 58
- Service-Oriented Architecture and Web Services 40
- Artificial Intelligence top 0.1%
- Advanced Graph Neural Networks 50
- Topic Modeling 42
- Privacy-Preserving Technologies in Data 40
- Computer Networks and Communications top 0.2%
- Caching and Content Delivery 54
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- Advanced Neural Network Applications 38
- Statistical and Nonlinear Physics top 0.5%
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- Access Control and Trust 57
- Journals
- IEEE Transactions on Knowledge and Data Engineering (12 papers)Information Sciences (9 papers)World Wide Web (7 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Wang
880 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 228
- Information Systems 3.7k
- Artificial Intelligence 5.1k
- Computer Networks and Communications 2.7k
- Computer Vision and Pattern Recognition 2.3k
- Statistical and Nonlinear Physics 1.1k
Countries citing papers authored by Yan Wang
This map shows the geographic impact of Yan 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 Yan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Wang more than expected).
Fields of papers citing papers by Yan Wang
This network shows the impact of papers produced by Yan 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 Yan Wang. The network helps show where Yan Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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 | 1 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 48 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | HiFuse: Hierarchical multi-scale feature fusion network for medical image classificationbreakdown → | 2023 | 131 |
| 19 | 2023 | 8 | |
| 20 | 2016 | 1 |
About Yan Wang
Yan Wang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 996 papers that have together received 14.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (58 papers), Access Control and Trust (57 papers), Caching and Content Delivery (54 papers), Advanced Graph Neural Networks (50 papers), Topic Modeling (42 papers), Service-Oriented Architecture and Web Services (40 papers), Privacy-Preserving Technologies in Data (40 papers) and Advanced Neural Network Applications (38 papers). The work is most often cited by research in Information Systems (3.7k citations), Artificial Intelligence (5.1k citations) and Computer Networks and Communications (2.7k citations). Yan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mehmet A. Orgun, Guanfeng Liu, Xiaojun Cao, Shoujin Wang, Lei Li, Chaochao Chen, Yi Pan, Xiaolin Zheng, Quan Z. Sheng and Jure Leskovec. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Sciences, World Wide Web, IEEE Access and IEEE Transactions on Services Computing.
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.