Lue Fan

718 citations
12 papers · 291 indexed · h-index 7
Topics
Advanced Neural Network Applications (5 papers)Robotics and Sensor-Based Localization (5 papers)Video Surveillance and Tracking Methods (3 papers)
Journals
IEEE Transactions on Pattern Analysis and Machine IntelligenceInformation Fusion2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Partner nations
ChinaIndiaHong Kong

In The Last Decade

Lue Fan

9 papers receiving 277 citations

Peers

Lue Fan
Comparison fields: 5 of 33
  • Computer Vision and Pattern Recognition 219
  • Aerospace Engineering 114
  • Computational Mechanics 46
  • Automotive Engineering 45
  • Environmental Engineering 42
Replace Tai Wang with:
Tai Wang China
Jean Lahoud United Arab Emirates
Liang Xie China
Min-Jian Zhao China
Haiyue Wei China
Lucas Nunes Germany
Maximilian Jaritz France
Anna Vorontsova United States
Xuanyao Chen China
Rohit Mohan India
Lue Fan relative to Tai Wang China Tai Wang's profile →
Citations per field
00.5×1.5×2.5×
Tai Wang · 1×
Citations per year

Countries citing papers authored by Lue Fan

Since Specialization
Citations

This map shows the geographic impact of Lue 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 Lue Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lue Fan more than expected).

Fields of papers citing papers by Lue Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lue 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 Lue Fan. The network helps show where Lue Fan may publish in the future.

Co-authorship network of co-authors of Lue Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Lue Fan. A scholar is included among the top collaborators of Lue 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 Lue Fan. Lue Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 1
3 0
4 18
5 27
6 29
7 11
8 0
9 17
10 23
11 0
12 163

About Lue Fan

Lue Fan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 12 papers that have together received 291 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Robotics and Sensor-Based Localization (5 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Geology (36 citations) and Instrumentation (18 citations). Lue Fan has collaborated with scholars based in China, India and Hong Kong. Frequent co-authors include Zhaoxiang Zhang, Naiyan Wang, Wang Feng, Yuntao Chen, Yuqi Wang, Zhaoxiang Zhang, Xingyu Liao, Hongxin Li, Yuqi Wang and Jiawei He. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Fusion and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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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