Qingjun Wang

1.1k citations
55 papers · 858 · h-index 16

Impact in

Papers in

Qingjun Wang

52 papers receiving 822 citations

Peers

Qingjun Wang
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 151
  • Neurology 43
  • Biological Psychiatry 12
  • Molecular Medicine 24
  • Behavioral Neuroscience 14
Replace Chuanfeng Lv with:
Chuanfeng Lv China
Yixiao Zhang China
Qinghua Peng China
Taewan Kim South Korea
Lee United States
Jyh‐Cheng Chen Taiwan
Xinhui Li China
Alessandro Orro Italy
Huan Gui China
Qingjun Wang relative to Chuanfeng Lv China Chuanfeng Lv's profile →
Citations per field
00.5×3.4×
Chuanfeng Lv · 1×
Citations per year

Countries citing papers authored by Qingjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201394
2 201888
3 200154
4 201250
5 201646
6 201936
7 201635
8 202035
9 201832
10 202131
11 201231
12 201028
13 202025
14 201524
15 200923
16 201115
17 202214
18 201313
19 201613
20 201013

About Qingjun Wang

Qingjun Wang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 858 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (5 papers), Neuroscience and Neuropharmacology Research (4 papers), EEG and Brain-Computer Interfaces (4 papers), Cardiac Imaging and Diagnostics (4 papers), Medical Image Segmentation Techniques (3 papers), Advanced Neural Network Applications (3 papers), RNA Research and Splicing (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Neurology (43 citations), Biological Psychiatry (12 citations), Molecular Medicine (24 citations) and Behavioral Neuroscience (14 citations). Qingjun Wang has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Yugang Niu, Qingtang Su, Rui Yang, Liang Zhao, Yan Zheng, Shifeng Zhao, Yun Tian, Jiping He, Thomas M. Hamm and Mitchell Maltenfort. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Access, International journal of cardiac imaging, Neurological Sciences and European Journal of Radiology.

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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