Mingtao Pei

1.7k citations
61 papers · 1.1k indexed · 1 hit paper · h-index 18

Mingtao Pei

58 papers receiving 1.1k citations

Hit Papers

Vehicle Type Classification Using a Semisupervised Convol...289201520262018202250100150200250

Peers

Mingtao Pei
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 817
  • Media Technology 168
  • Artificial Intelligence 345
  • Health Informatics 11
  • Signal Processing 82
Replace Yahia Said with:
Yahia Said Saudi Arabia
Yong Zhao China
Mohammad Farukh Hashmi India
Mohamed Lamine Mekhalfi Italy
Xiongwei Wu China
Marina Ivašić-Kos Croatia
Jeongmin Park South Korea
Mamoona Naveed Asghar Ireland
Mei-Chen Yeh Taiwan
Zhenxing Niu China
Mingtao Pei relative to Yahia Said Saudi Arabia Yahia Said's profile →
Citations per field
00.5×10.6×
Yahia Said · 1×
Citations per year

Countries citing papers authored by Mingtao Pei

Since Specialization
Citations

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

Fields of papers citing papers by Mingtao Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20231
4 202327
5 202228
6 20221
7 20216
8 202117
9 202026
10 20196
11 20196
12 201811
13 20161
14 20151
15 20141
16 201463
17 20131
18 201311
19 201223
20
Using Pure Translation to Get Euclidean Reconstruction
20061

About Mingtao Pei

Mingtao Pei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (26 papers), Advanced Image and Video Retrieval Techniques (14 papers), Face recognition and analysis (12 papers), Advanced Vision and Imaging (12 papers), Human Pose and Action Recognition (11 papers), Face and Expression Recognition (10 papers), Multimodal Machine Learning Applications (7 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (817 citations), Media Technology (168 citations) and Artificial Intelligence (345 citations). Mingtao Pei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yunde Jia, Zhen Dong, Yuwei Wu, Song‐Chun Zhu, Bin Yan, Benjamin Yao, Zhangzhang Si, Chenchen Jing, Wei Liang and Min Yang. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.

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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