Long Quan

18.1k citations
321 papers · 10.5k · 5 hit papers · h-index 52

Impact in

Papers in

Long Quan

301 papers receiving 10.1k citations

Long Quan's Hit Papers

BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks 2020 · 274 citations
2740+6+12Years since publication100200300400500

Peers

Long Quan
Comparison fields: 5 of 152
  • Computer Graphics and Computer-Aided Design 1.1k
  • Computer Vision and Pattern Recognition 6.6k
  • Geology 1.3k
  • Media Technology 1.2k
  • Aerospace Engineering 2.6k
Replace Katsushi Ikeuchi with:
Katsushi Ikeuchi Japan
Ian Reid United Kingdom
Shi‐Min Hu China
Gérard Medioni United States
Fisher Yu United States
Niloy J. Mitra United Kingdom
Shuran Song United States
Andrew J. Davison United Kingdom
Marc Pollefeys Switzerland
Long Quan relative to Katsushi Ikeuchi Japan Katsushi Ikeuchi's profile →
Citations per field
00.5×6.8×
Katsushi Ikeuchi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Long Quan, 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 Long Quan Line = papers co-authored together Long Quan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 321 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Image deblurring with blurred/noisy image pairs
Hit paper breakdown →
2007572
2 1999431
3
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
Hit paper breakdown →
2019424
4
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Hit paper breakdown →
2020337
5 2005304
6
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks
Hit paper breakdown →
2020274
7 2019233
8
ASLFeat: Learning Local Features of Accurate Shape and Localization
Hit paper breakdown →
2020230
9 2007220
10 2006204
11 2008175
12 2014162
13 2019147
14 2002137
15 2017136
16 2007136
17 2008129
18 2009118
19 2007116
20 2008114

About Long Quan

Long Quan is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Control and Systems Engineering, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 321 papers that have together received 10.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (118 papers), Hydraulic and Pneumatic Systems (103 papers), Robotics and Sensor-Based Localization (47 papers), Optical measurement and interference techniques (37 papers), Computer Graphics and Visualization Techniques (37 papers), Advanced Image and Video Retrieval Techniques (34 papers), Oil and Gas Production Techniques (27 papers) and Remote Sensing and LiDAR Applications (23 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.1k citations), Computer Vision and Pattern Recognition (6.6k citations), Geology (1.3k citations), Media Technology (1.2k citations) and Aerospace Engineering (2.6k citations). Long Quan has collaborated with scholars based in China, Hong Kong and France. Frequent 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. Their work appears in journals such as Chinese Journal of Mechanical Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics, IEEE Access and Automation in Construction.

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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