Fan Lin

124 papers receiving 2.1k citations

Fan Lin's Hit Papers

A systematic resilience assessment framework for multi-state systems based on physics-informed neural network 2025 · 57 citations
570Years since publication1020304050

Peers

Fan Lin
Comparison fields: 5 of 148
  • Information Systems 384
  • Artificial Intelligence 464
  • Computer Science Applications 75
  • Computer Networks and Communications 309
  • Biomedical Engineering 418
Replace Abdullah Baz with:
Abdullah Baz Saudi Arabia
Cen Chen China
Anne James United Kingdom
Qing Yang United States
Bhawani Shankar Chowdhry Pakistan
Tole Sutikno Indonesia
Bing Shi China
Aderemi A. Atayero Nigeria
Xu Yuan United States
Fan Lin relative to Abdullah Baz Saudi Arabia Abdullah Baz's profile →
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Abdullah Baz · 1×
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Countries citing papers authored by Fan Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fan Lin Line = papers co-authored together Fan Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019151
2 2021101
3 2019100
4 202194
5 202160
6 202160
7
A systematic resilience assessment framework for multi-state systems based on physics-informed neural network
Hit paper breakdown →
202557
8 201852
9 202052
10 202250
11 202249
12 201942
13 202238
14 202337
15 202035
16 202335
17 201834
18 202233
19 202032
20 202331

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.

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