Pei Dong

899 citations
57 papers · 591 indexed · h-index 12
Topics
Medical Imaging Techniques and Applications (11 papers)Medical Image Segmentation Techniques (11 papers)Advanced X-ray and CT Imaging (9 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Pei Dong

50 papers receiving 584 citations

Peers

Pei Dong
Comparison fields: 5 of 128
  • Radiology, Nuclear Medicine and Imaging 175
  • Biomedical Engineering 150
  • Orthopedics and Sports Medicine 139
  • Computer Vision and Pattern Recognition 88
  • Pediatrics, Perinatology and Child Health 79
Replace Walid Ibn Essayed with:
Walid Ibn Essayed United States
Annette Birkhold Germany
Shaoxiang Zhang China
Eef J. Hendriks Canada
Shiori Amemiya Japan
Matthew A. Rubin United States
Belma Dogdas United States
Alexander A. Moiseev Russia
Andrew Phillips United Kingdom
N. Hopf Germany
Pei Dong relative to Walid Ibn Essayed United States Walid Ibn Essayed's profile →
Citations per field
00.5×10.3×
Walid Ibn Essayed · 1×
Citations per year

Countries citing papers authored by Pei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Pei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Dong. A scholar is included among the top collaborators of Pei Dong 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 Pei Dong. Pei Dong 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
#WorkIndexed citations
1 1
2 0
3 3
4 0
5 1
6 1
7 10
8 6
9 4
10 5
11 9
12 121
13 1
14 24
15 15
16 5
17 11
18 17
19 103
20
Prosody conversion from mandarin to Xi'an dialect
1

About Pei Dong

Pei Dong is a scholar working on Health Informatics, Orthopedics and Sports Medicine and Radiology, Nuclear Medicine and Imaging, having authored 57 papers that have together received 591 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Medical Image Segmentation Techniques (11 papers) and Advanced X-ray and CT Imaging (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (139 citations), Health Informatics (12 citations) and Radiology, Nuclear Medicine and Imaging (175 citations). Pei Dong has collaborated with scholars based in China, United States and France. Frequent co-authors include Françoise Peyrin, Max Langer, Alexandra Pacureanu, Dinggang Shen, Bernhard Hesse, Sylvain Haupert, V. Bousson, Li Wang, Zhengwang Wu and Weili Lin. Their work appears in journals such as Academy of Management Journal, PLoS ONE and NeuroImage.

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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