Xianglei Xing

955 citations
37 papers · 656 · h-index 14

Impact in

Papers in

Xianglei Xing

37 papers receiving 635 citations

Peers

Xianglei Xing
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 310
  • Human-Computer Interaction 52
  • Automotive Engineering 82
  • Mechanical Engineering 241
  • Signal Processing 42
Replace Yuandong Xu with:
Yuandong Xu China
Jiaxuan Wang China
YuKang Liu United States
Bohan Wang China
Chao Feng China
Akash Garg India
Jingming Xie China
L. Canan Dülger Türkiye
Qingnan Zhou United States
R.C. Luo Taiwan
Xianglei Xing relative to Yuandong Xu China Yuandong Xu's profile →
Citations per field
00.5×4.1×
Yuandong Xu · 1×
Citations per year

Countries citing papers authored by Xianglei Xing

Since Specialization
Citations

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

Fields of papers citing papers by Xianglei Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015119
2 201798
3 201852
4 201547
5 201535
6 201529
7 201422
8 201820
9 201619
10 201319
11 201918
12 201517
13 201515
14 201515
15 201613
16 201811
17 202411
18 201711
19 20149
20 20168

About Xianglei Xing

Xianglei Xing is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Materials Chemistry, Biomedical Engineering and Artificial Intelligence, having authored 37 papers that have together received 656 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced materials and composites (6 papers), High Entropy Alloys Studies (6 papers), Metal Alloys Wear and Properties (6 papers), Face and Expression Recognition (5 papers), Gait Recognition and Analysis (5 papers), Face recognition and analysis (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (310 citations), Human-Computer Interaction (52 citations), Automotive Engineering (82 citations), Mechanical Engineering (241 citations) and Signal Processing (42 citations). Xianglei Xing has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yefei Zhou, Kejun Wang, Tao Yan, Kejun Wang, Xin Lu, Sidan Du, Liping Shao, Qingxiang Yang, Yao Yu and Yu Zhou. Their work appears in journals such as Surface and Coatings Technology, IEEE Transactions on Circuits and Systems for Video Technology, Materials Science and Engineering A, Tribology Letters and IEEE Signal Processing Letters.

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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