Banglei Guan

920 citations
89 papers · 606 · h-index 14

Impact in

Papers in

Banglei Guan

66 papers receiving 554 citations

Peers

Banglei Guan
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 396
  • Aerospace Engineering 305
  • Geology 66
  • Media Technology 46
  • Instrumentation 18
Replace Omar Ait-Aider with:
Omar Ait-Aider France
Victor Hugo Diaz-Ramirez Mexico
Zhong-Dan Lan France
Roland Brockers United States
Yohan D. Fougerolle France
Christian Förster Switzerland
Mingxing Wen Singapore
Martin Byröd Sweden
Martin Bujnak Czechia
Kirk MacTavish Canada
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Citations per field
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Citations per year

Countries citing papers authored by Banglei Guan

Since Specialization
Citations

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

Fields of papers citing papers by Banglei Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202446
2 201838
3 202034
4 202233
5 202231
6 202129
7 202426
8 201925
9 201723
10 201519
11 202518
12 202518
13 202416
14 201815
15 202514
16 202414
17 202113
18 201413
19 201611
20 202110

About Banglei Guan

Banglei Guan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Media Technology and Electrical and Electronic Engineering, having authored 89 papers that have together received 606 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (46 papers), Advanced Vision and Imaging (37 papers), Optical measurement and interference techniques (30 papers), 3D Surveying and Cultural Heritage (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image and Object Detection Techniques (6 papers), Advanced Measurement and Detection Methods (6 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (396 citations), Aerospace Engineering (305 citations), Geology (66 citations), Media Technology (46 citations) and Instrumentation (18 citations). Banglei Guan has collaborated with scholars based in China, Austria and United States. Frequent co-authors include Friedrich Fraundorfer, Yang Shang, Ji Yin Zhao, Qifeng Yu, Zhang Li, Qifeng Yu, Zhilong Su, Dániel Baráth, Fang Sun and Pascal Vasseur. Their work appears in journals such as Applied Optics, Experimental Mechanics, Measurement, Optics Express and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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