Lili Fan
- Media Technology top 5%
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- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 4
- Advanced Neural Network Applications 4
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety 5
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- Infrastructure Maintenance and Monitoring 5
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- Sparse and Compressive Sensing Techniques 3
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- Blockchain Technology Applications and Security 3
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- Radar Systems and Signal Processing 3
- Journals
- Journal of Materials Chemistry (1 paper)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Sensors (3 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Lili Fan
44 papers receiving 461 citations
Peers
Comparison fields: 5 of 78
- Media Technology 90
- Computer Vision and Pattern Recognition 182
- Automotive Engineering 68
- Industrial and Manufacturing Engineering 42
- Computational Mathematics 2
Countries citing papers authored by Lili Fan
This map shows the geographic impact of Lili Fan'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 Lili Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lili Fan more than expected).
Fields of papers citing papers by Lili Fan
This network shows the impact of papers produced by Lili Fan. 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 Lili Fan. The network helps show where Lili Fan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lili Fan, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 35 | |
| 5 | 2024 | 32 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 36 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 31 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 25 | |
| 19 | 2023 | 3 | |
| 20 | Detection for bovine-derived ingredients in foods with real-time polymerase chain reaction method | 2013 | 1 |
About Lili Fan
Lili Fan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Instrumentation, having authored 49 papers that have together received 472 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Infrastructure Maintenance and Monitoring (5 papers), Autonomous Vehicle Technology and Safety (5 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Neural Network Applications (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Blockchain Technology Applications and Security (3 papers) and Radar Systems and Signal Processing (3 papers). The work is most often cited by research in Media Technology (90 citations), Computer Vision and Pattern Recognition (182 citations) and Automotive Engineering (68 citations). Lili Fan has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Hongwei Zhao, Dongpu Cao, Fei‐Yue Wang, Haoyu Zhao, Yunjie Li, Yutong Wang, Bai Li, Junhao Wang, Ying Li and Shen Li. Their work appears in journals such as Journal of Materials Chemistry, IEEE Transactions on Geoscience and Remote Sensing and Sensors.
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.