Xiaohu Yan

731 citations
32 papers · 563 · h-index 13

Impact in

Papers in

Xiaohu Yan

31 papers receiving 542 citations

Peers

Xiaohu Yan
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 204
  • Computer Graphics and Computer-Aided Design 30
  • Hardware and Architecture 52
  • Media Technology 62
  • Industrial and Manufacturing Engineering 50
Replace Yiqi Zhong with:
Yiqi Zhong China
Yunyang Xiong United States
Mengye Ren Canada
Guoqing Jin China
Xiao Lin China
Hao Feng China
Weijing Shi United States
Adam Dąbrowski Poland
Xiaohu Yan relative to Yiqi Zhong China Yiqi Zhong's profile →
Citations per field
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Yiqi Zhong · 1×
Citations per year

Countries citing papers authored by Xiaohu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201763
3 202259
4 202346
5 202138
6 201935
7 202233
8 201730
9 201925
10 202024
11 202317
12 201915
13 201514
14 202012
15 202412
16 202311
17 201910
18 20238
19 20237
20 20216

About Xiaohu Yan

Xiaohu Yan is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Aerospace Engineering, Computational Mechanics and Artificial Intelligence, having authored 32 papers that have together received 563 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers), Embedded Systems Design Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Advanced Algorithms and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Computer Graphics and Computer-Aided Design (30 citations), Hardware and Architecture (52 citations), Media Technology (62 citations) and Industrial and Manufacturing Engineering (50 citations). Xiaohu Yan has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Fazhi He, Neng Hou, Yilin Chen, Yansong Duan, Haojun Ai, Dejun Zhang, Haoran Li, Yiqi Wu, Yaqian Liang and Haoran Wu. Their work appears in journals such as Integrated Computer-Aided Engineering, Remote Sensing, Journal of Advanced Mechanical Design Systems and Manufacturing, IEEE Geoscience and Remote Sensing Letters and Computer-Aided Design.

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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