Long Quan

18.2k total citations · 5 hit papers
359 papers, 10.5k citations indexed

About

Long Quan is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Long Quan has authored 359 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Computer Vision and Pattern Recognition, 134 papers in Mechanical Engineering and 87 papers in Control and Systems Engineering. Recurrent topics in Long Quan's work include Hydraulic and Pneumatic Systems (119 papers), Advanced Vision and Imaging (118 papers) and Robotics and Sensor-Based Localization (47 papers). Long Quan is often cited by papers focused on Hydraulic and Pneumatic Systems (119 papers), Advanced Vision and Imaging (118 papers) and Robotics and Sensor-Based Localization (47 papers). Long Quan collaborates with scholars based in China, Hong Kong and France. Long Quan's co-authors include Lu Yuan, Heung‐Yeung Shum, Maxime Lhuillier, Jian Sun, Zixin Luo, Tian Fang, Zhong-Dan Lan, Lei Zhou, Yao Yao and Ping Tan and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Long Quan

338 papers receiving 10.1k citations

Hit Papers

Image deblurring with blurred/noisy image pairs 2007 2026 2013 2019 2007 2019 2020 2020 2020 100 200 300 400 500

Peers

Long Quan
Comparison fields: 5 of 163
  • Computer Vision and Pattern Recognition 6.6k
  • Aerospace Engineering 2.6k
  • Mechanical Engineering 1.8k
  • Geology 1.3k
  • Control and Systems Engineering 1.3k
Replace Katsushi Ikeuchi with:
Katsushi Ikeuchi Japan
R. Tsai United States
Roberto Cipolla United Kingdom
Shi‐Min Hu China
Hujun Bao China
Gérard Medioni United States
Ian Reid United Kingdom
Niloy J. Mitra United Kingdom
Silvio Savarese United States
Sing Bing Kang United States
Katsushi Ikeuchi Japan View profile →
Citations per field, relative to Long Quan
Long Quan · 1×
Citations per year, relative to Long Quan
Long Quan · 1×

Countries citing papers authored by Long Quan

Since Specialization
Citations

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

Fields of papers citing papers by Long Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Long Quan. A scholar is included among the top collaborators of Long Quan 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 Long Quan. Long Quan 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
# Work Indexed citations
1 0
2 0
3 6
4 3
5 34
6 8
7 23
8
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features breakdown →
312
9 19
10
ASLFeat: Learning Local Features of Accurate Shape and Localization breakdown →
222
11 5
12 42
13 8
14 7
15 16
16 30
17 24
18 4
19 6
20 0

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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