Fan Lin
Impact in
- Information Systems top 2%
- Recommender Systems and Techniques
- Cloud Computing and Resource Management
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
Papers in
-
- Electrical and Thermal Properties of Materials 13
- Co-authors
- Wenhua Zeng (19 shared papers)Guochun Chen (21 shared papers)Chao Wu (21 shared papers)Zhenyin Hai (21 shared papers)Xiaochuan Pan (20 shared papers)Qinnan Chen (18 shared papers)Jianbing Xiahou (12 shared papers)Yingjun Zeng (18 shared papers)
- Journals
- IEEE Access (6 papers)Applied Soft Computing (5 papers)Knowledge-Based Systems (4 papers)Neural Computing and Applications (4 papers)IEEE Sensors Journal (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Fan Lin
124 papers receiving 2.1k citations
Fan Lin's Hit Papers
Peers
Comparison fields: 5 of 148
- Information Systems 384
- Artificial Intelligence 464
- Computer Science Applications 75
- Computer Networks and Communications 309
- Biomedical Engineering 418
Countries citing papers authored by Fan Lin
This map shows the geographic impact of Fan Lin'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 Fan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Lin more than expected).
Fields of papers citing papers by Fan Lin
This network shows the impact of papers produced by Fan Lin. 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 Fan Lin. The network helps show where Fan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Lin, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 151 | |
| 2 | 2021 | 101 | |
| 3 | 2019 | 100 | |
| 4 | 2021 | 94 | |
| 5 | 2021 | 60 | |
| 6 | 2021 | 60 | |
| 7 | A systematic resilience assessment framework for multi-state systems based on physics-informed neural network Hit paper breakdown → | 2025 | 57 |
| 8 | 2018 | 52 | |
| 9 | 2020 | 52 | |
| 10 | 2022 | 50 | |
| 11 | 2022 | 49 | |
| 12 | 2019 | 42 | |
| 13 | 2022 | 38 | |
| 14 | 2023 | 37 | |
| 15 | 2020 | 35 | |
| 16 | 2023 | 35 | |
| 17 | 2018 | 34 | |
| 18 | 2022 | 33 | |
| 19 | 2020 | 32 | |
| 20 | 2023 | 31 |
About Fan Lin
Fan Lin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Information Systems, Biomedical Engineering and Computer Networks and Communications, having authored 128 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Sensor Technologies Research (14 papers), Electrical and Thermal Properties of Materials (13 papers), Recommender Systems and Techniques (13 papers), Online Learning and Analytics (8 papers), Thermal properties of materials (7 papers), IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers) and Land Use and Ecosystem Services (6 papers). The work is most often cited by research in Information Systems (384 citations), Artificial Intelligence (464 citations), Computer Science Applications (75 citations), Computer Networks and Communications (309 citations) and Biomedical Engineering (418 citations). Fan Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wenhua Zeng, Guochun Chen, Chao Wu, Zhenyin Hai, Xiaochuan Pan, Qinnan Chen, Jianbing Xiahou, Yingjun Zeng, Yingping He and Xiuze Zhou. Their work appears in journals such as IEEE Access, Applied Soft Computing, Knowledge-Based Systems, Neural Computing and Applications and IEEE Sensors Journal.
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.