Yuru Pei

662 citations
62 papers · 491 · h-index 12

Impact in

Papers in

Yuru Pei

56 papers receiving 480 citations

Peers

Yuru Pei
Comparison fields: 5 of 68
  • Oral Surgery 131
  • Computer Vision and Pattern Recognition 244
  • Orthodontics 39
  • General Dentistry 10
  • Health Informatics 9
Replace Jia‐Hong Lee with:
Jia‐Hong Lee Taiwan
S.M. Dunn United States
Chanjira Sinthanayothin Thailand
Ahmed El-Bialy Egypt
Ayman Abaza United States
Pascal Paysan Switzerland
J. Graham United Kingdom
Rahul Rajendran United States
Andrea Valsecchi Spain
Zhenxi Zhang China
Yuru Pei relative to Jia‐Hong Lee Taiwan Jia‐Hong Lee's profile →
Citations per field
00.5×3.1×
Jia‐Hong Lee · 1×
Citations per year

Countries citing papers authored by Yuru Pei

Since Specialization
Citations

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

Fields of papers citing papers by Yuru Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201373
2 202135
3 201132
4 201329
5 201623
6 201723
7 200821
8 202018
9 202018
10 200613
11 202012
12 202112
13 202011
14 202210
15 202010
16 200510
17 201610
18 20138
19 20198
20 20167

About Yuru Pei

Yuru Pei is a scholar working on Computer Vision and Pattern Recognition, Oral Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computational Mechanics, having authored 62 papers that have together received 491 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Dental Radiography and Imaging (17 papers), Face recognition and analysis (14 papers), Medical Imaging Techniques and Applications (12 papers), Medical Imaging and Analysis (10 papers), Human Pose and Action Recognition (8 papers), 3D Shape Modeling and Analysis (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Oral Surgery (131 citations), Computer Vision and Pattern Recognition (244 citations), Orthodontics (39 citations), General Dentistry (10 citations) and Health Informatics (9 citations). Yuru Pei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongbin Zha, Tianmin Xu, Tae‐Kyun Kim, Gengyu Ma, Fuhao Shi, Hongbin Zha, Haifang Qin, Bin Liu, Xiaonan Yu and Yichen Pan. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics, BMC Oral Health, IEEE Transactions on Biomedical Engineering and Lecture notes in computer science.

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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