Zhao Pei

962 total citations
60 papers, 634 citations indexed

About

Zhao Pei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Zhao Pei has authored 60 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 11 papers in Artificial Intelligence. Recurrent topics in Zhao Pei's work include Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (9 papers) and Image Processing Techniques and Applications (7 papers). Zhao Pei is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (9 papers) and Image Processing Techniques and Applications (7 papers). Zhao Pei collaborates with scholars based in China, Canada and United States. Zhao Pei's co-authors include Yee‐Hong Yang, Yanning Zhang, Chengcai Leng, Miao Ma, Min Guo, Anup Basu, Guorong Cai, Irene Cheng, Bo Li and Hai Zhang and has published in prestigious journals such as Journal of Cleaner Production, Journal of Hydrology and Expert Systems with Applications.

In The Last Decade

Zhao Pei

55 papers receiving 618 citations

Peers

Zhao Pei
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 392
  • Aerospace Engineering 121
  • Media Technology 113
  • Artificial Intelligence 95
  • Automotive Engineering 61
Replace Xue Yuan with:
Xue Yuan China
Ju Jia Zou Australia
Dmitry Nikolaev Russia
Anastasios Dimou Greece
Liangchen Song United States
Daniel Ponsa Spain
Mehmet Çelenk United States
Bing Cao China
Xue Yuan China View profile →
Citations per field, relative to Zhao Pei
Zhao Pei · 1×
Citations per year, relative to Zhao Pei
Zhao Pei · 1×

Countries citing papers authored by Zhao Pei

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Pei. A scholar is included among the top collaborators of Zhao Pei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhao Pei. Zhao Pei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 0
5 0
6 6
7 1
8 7
9 2
10 1
11 2
12 42
13 5
14 8
15 10
16 3
17 32
18 2
19 30
20
A calibration algorithm of radio propagation model based on modified PSO
1

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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