Lili Fan

913 citations
49 papers · 472 indexed · h-index 14
Topics
Advanced Image and Video Retrieval Techniques (6 papers)Infrastructure Maintenance and Monitoring (5 papers)Autonomous Vehicle Technology and Safety (5 papers)
Partner nations
ChinaMacaoUnited States

In The Last Decade

Lili Fan

44 papers receiving 461 citations

Peers

Lili Fan
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 182
  • Media Technology 90
  • Civil and Structural Engineering 70
  • Automotive Engineering 68
  • Artificial Intelligence 61
Replace Junfan Wang with:
Junfan Wang China
Zhengyu Xie China
Yanting Liu China
Csaba Beleznai Austria
Miguel Ángel García-Garrido Spain
Xiaokang Jin China
Chenyang Li China
Zhongli Wang China
Mario Ortí Mata Spain
Fayçal Hamdaoui Tunisia
Lili Fan relative to Junfan Wang China Junfan Wang's profile →
Citations per field
00.5×4.7×
Junfan Wang · 1×
Citations per year

Countries citing papers authored by Lili Fan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Lili Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Lili Fan. A scholar is included among the top collaborators of Lili Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lili Fan. Lili Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 35
5 32
6 9
7 0
8 5
9 1
10 36
11 7
12 1
13 1
14 6
15 31
16 6
17 2
18 25
19 3
20
Detection for bovine-derived ingredients in foods with real-time polymerase chain reaction method
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) and Autonomous Vehicle Technology and Safety (5 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.

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