Fan Lin
Impact in
- Information Systems top 2%
- Recommender Systems and Techniques
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
Papers in
-
- Online Learning and Analytics 8
- Co-authors
- Wenhua ZengChao WuZhenyin HaiGuochun ChenXiaochuan PanQinnan ChenJianbing XiahouYingjun Zeng
- Journals
- IEEE Access (6 papers)Knowledge-Based Systems (4 papers)Neural Computing and Applications (4 papers)IEEE Sensors Journal (4 papers)Applied Soft Computing (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Fan Lin
117 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Information Systems 356
- Artificial Intelligence 434
- Computer Science Applications 69
- Computer Networks and Communications 273
- Management Science and Operations Research 115
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
| # | Work | ||
|---|---|---|---|
| 1 | A systematic resilience assessment framework for multi-state systems based on physics-informed neural network Hit paper breakdown → | 2025 | 45 |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 32 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 33 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 92 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 97 | |
| 17 | 2017 | 3 | |
| 18 | 2017 | 15 | |
| 19 | 2016 | 15 | |
| 20 | 2015 | 1 |
About Fan Lin
Fan Lin is a scholar working on Computational Mathematics, Computer Science Applications, Information Systems, Hardware and Architecture and Management Science and Operations Research, having authored 124 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Sensor Technologies Research (14 papers), Recommender Systems and Techniques (13 papers), Electrical and Thermal Properties of Materials (13 papers), Online Learning and Analytics (8 papers), Thermal properties of materials (7 papers), IoT and Edge/Fog Computing (6 papers), Land Use and Ecosystem Services (6 papers) and VLSI and Analog Circuit Testing (6 papers). The work is most often cited by research in Information Systems (356 citations), Artificial Intelligence (434 citations), Computer Science Applications (69 citations), Computer Networks and Communications (273 citations) and Management Science and Operations Research (115 citations). Fan Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wenhua Zeng, Chao Wu, Zhenyin Hai, Guochun Chen, Xiaochuan Pan, Qinnan Chen, Jianbing Xiahou, Yingjun Zeng, Xiuze Zhou and Yingping He. Their work appears in journals such as IEEE Access, Knowledge-Based Systems, Neural Computing and Applications, IEEE Sensors Journal and Applied Soft 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.