Peijun Wang

1.8k citations
75 papers · 1.3k indexed · h-index 19
Topics
Radiomics and Machine Learning in Medical Imaging (13 papers)MRI in cancer diagnosis (11 papers)Functional Brain Connectivity Studies (10 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Peijun Wang

70 papers receiving 1.3k citations

Peers

Peijun Wang
Comparison fields: 5 of 127
  • Radiology, Nuclear Medicine and Imaging 466
  • Pulmonary and Respiratory Medicine 333
  • Molecular Biology 195
  • Physiology 183
  • Cognitive Neuroscience 160
Replace Junfeng Lu with:
Junfeng Lu China
Hailong Li United States
Mohamed Akil France
Guangzhi Wang China
Qiang Wu China
Haiqing Zheng China
Martijn D. Steenwijk Netherlands
Peijun Wang relative to Junfeng Lu China Junfeng Lu's profile →
Citations per field
00.5×2.8×
Junfeng Lu · 1×
Citations per year

Countries citing papers authored by Peijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peijun Wang. A scholar is included among the top collaborators of Peijun Wang 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 Peijun Wang. Peijun Wang 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 4
2 0
3 6
4 8
5 13
6 1
7 5
8 0
9 8
10 0
11 21
12 5
13 12
14 6
15 21
16 14
17 104
18 65
19
The principle and difference of diffusion weighted imaging and diffusion tensor imaging
1
20
Influence of sexual activity on myocardial ischemia, arrhythmia and heart rate variability in patients after acute myocardial infarction
1

About Peijun Wang

Peijun Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Developmental Neuroscience and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (11 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Developmental Neuroscience (103 citations), Radiology, Nuclear Medicine and Imaging (466 citations) and Biological Psychiatry (46 citations). Peijun Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Guojun Gu, Ming Li, Liang Jin, Yingli Sun, Wei Zhao, Yanqing Hua, Xiaowen Xu, Wenwu Yu, Tingwen Huang and Jiancheng Yang. Their work appears in journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research Communications.

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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