Pei Dong

820 total citations
36 papers, 512 citations indexed

About

Pei Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Pei Dong has authored 36 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Pei Dong's work include Image and Signal Denoising Methods (6 papers), Video Surveillance and Tracking Methods (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Pei Dong is often cited by papers focused on Image and Signal Denoising Methods (6 papers), Video Surveillance and Tracking Methods (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Pei Dong collaborates with scholars based in China, Australia and United States. Pei Dong's co-authors include Shanshan Wang, Yong Xia, Weijian Huang, Yongjin Zhou, Qiegen Liu, Dagan Feng, Zhuo Li, Jianhua Luo, Jing Zhang and Bo Peng and has published in prestigious journals such as Journal of Colloid and Interface Science, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Pei Dong

34 papers receiving 493 citations

Peers

Pei Dong
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 263
  • Radiology, Nuclear Medicine and Imaging 115
  • Artificial Intelligence 103
  • Biomedical Engineering 85
  • Neurology 77
Replace Yicheng Wu with:
Yicheng Wu China
Fahad Shamshad Pakistan
Herng-Hua Chang Taiwan
Dong Hye Ye United States
Yan Xia China
Alper Güngör Türkiye
Jianan Chen China
Jianjia Zhang China
Onat Dalmaz Türkiye
Shuqian Luo China
Yicheng Wu China View profile →
Citations per field, relative to Pei Dong
Pei Dong · 1×
Citations per year, relative to Pei Dong
Pei Dong · 1×

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
# Work Indexed citations
1 0
2 3
3 2
4 2
5 7
6 10
7 53
8 143
9 5
10 9
11 15
12 1
13 50
14
Realizing Mandarin-Tibetan bilingual speech synthesis by speaker adaptive training
6
15 13
16 2
17 0
18 8
19
Predicting Chinese prosodic phrase with height of syntax tree
1
20
[Morphologic changes of red blood cells in various conditions under scanning electron microscope].
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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