Xiaobo An

520 citations
13 papers · 386 · h-index 8

Impact in

Papers in

Xiaobo An

10 papers receiving 378 citations

Peers

Xiaobo An
Comparison fields: 5 of 47
  • Computer Graphics and Computer-Aided Design 85
  • Computer Vision and Pattern Recognition 324
  • Cognitive Neuroscience 82
  • Media Technology 26
  • Experimental and Cognitive Psychology 34
Replace L. Sharan with:
L. Sharan United States
Mohamed–Chaker Larabi France
Bastian Goldlücke Germany
Dimitris Samaras United States
Ondřej Drbohlav Czechia
Anna Tomaszewska Poland
Robert Benavente Spain
Alan Chalmers United Kingdom
Tania Pouli France
Peter G. Engeldrum United States
Xiaobo An relative to L. Sharan United States L. Sharan's profile →
Citations per field
00.5×3.9×
L. Sharan · 1×
Citations per year

Countries citing papers authored by Xiaobo An

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Xiaobo An, 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 Xiaobo An Line = papers co-authored together Xiaobo An links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2008174
2 201376
3 201051
4 201225
5 200819
6 201414
7 20118
8 20117
9 20116
10 20065
11 20061
12 20150
13 20240

About Xiaobo An

Xiaobo An is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience, Computational Mechanics and Aerospace Engineering, having authored 13 papers that have together received 386 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (6 papers), 3D Shape Modeling and Analysis (4 papers), Face Recognition and Perception (4 papers), Face recognition and analysis (3 papers), Visual Attention and Saliency Detection (2 papers), Evolutionary Psychology and Human Behavior (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (85 citations), Computer Vision and Pattern Recognition (324 citations), Cognitive Neuroscience (82 citations), Media Technology (26 citations) and Experimental and Cognitive Psychology (34 citations). Xiaobo An has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Fabio Pellacini, Alice J. O’Toole, P. Jonathon Phillips, Vaidehi Natu, Joseph Dunlop, Xin Tong, Hujun Bao, Wei Chen, Guofeng Zhang and Xueying Qin. Their work appears in journals such as ACM Transactions on Graphics, Image and Vision Computing, Computer Graphics Forum, NeuroImage and Psychological Science.

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.

Explore authors with similar magnitude of impact