Xiaobing Pei

883 citations
50 papers · 667 · h-index 12

Impact in

Papers in

Xiaobing Pei

44 papers receiving 651 citations

Peers

Xiaobing Pei
Comparison fields: 5 of 105
  • Radiology, Nuclear Medicine and Imaging 294
  • Computer Vision and Pattern Recognition 143
  • Electrical and Electronic Engineering 273
  • Media Technology 37
  • Surfaces, Coatings and Films 23
Replace M. R. C. Mahdy with:
M. R. C. Mahdy Bangladesh
Seyyed Javad Seyyed Mahdavi Chabok Iran
Yan Hu China
Xiaohong Wang China
Hidenori Sakanashi Japan
Soumen Banerjee India
Walter Blondel France
Xiaoqiang Zhu China
Fiaz Gul Khan Pakistan
Xiaobing Pei relative to M. R. C. Mahdy Bangladesh M. R. C. Mahdy's profile →
Citations per field
00.5×6.1×
M. R. C. Mahdy · 1×
Citations per year

Countries citing papers authored by Xiaobing Pei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014129
2 200992
3 202282
4 201055
5 201450
6 201642
7 201624
8 202021
9 202120
10 201419
11 201615
12 201311
13 20169
14 20158
15 20178
16 20158
17 20087
18 20206
19 20186
20 20155

About Xiaobing Pei

Xiaobing Pei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, having authored 50 papers that have together received 667 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Plasma Diagnostics and Applications (4 papers), Plasma Applications and Diagnostics (4 papers), Scheduling and Optimization Algorithms (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (294 citations), Computer Vision and Pattern Recognition (143 citations), Electrical and Electronic Engineering (273 citations), Media Technology (37 citations) and Surfaces, Coatings and Films (23 citations). Xiaobing Pei has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Xinpei Lu, Xiu‐Jie Wang, Min Dai, Chuanbo Chen, Chuanbo Chen, Tao Wu, Yubin Xian, C. L. Zou, Zhengqiang Jiang and Kaichuang Chen. Their work appears in journals such as IEEE Access, Journal of Applied Physics, Multimedia Tools and Applications, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cybernetics.

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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