Qingjun Wang
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
Papers in
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- Cerebrovascular and Carotid Artery Diseases 7
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- Cardiac Imaging and Diagnostics 7
- Co-authors
- Yan Zheng (1 shared paper)Liang Zhao (1 shared paper)Rui Yang (1 shared paper)Qingtang Su (1 shared paper)Yugang Niu (1 shared paper)Shifeng Zhao (4 shared papers)Jie Yin (4 shared papers)Yun Tian (4 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (4 papers)IEEE Access (3 papers)International journal of cardiac imaging (3 papers)Neurological Sciences (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Qingjun Wang
51 papers receiving 742 citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 124
- Biological Psychiatry 14
- Neurology 45
- Behavioral Neuroscience 17
- Molecular Medicine 23
Countries citing papers authored by Qingjun Wang
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
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.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 75 | |
| 2 | 2013 | 73 | |
| 3 | 2016 | 46 | |
| 4 | 2012 | 46 | |
| 5 | 2016 | 34 | |
| 6 | 2019 | 33 | |
| 7 | 2020 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2012 | 31 | |
| 10 | 2021 | 31 | |
| 11 | 2001 | 31 | |
| 12 | 2010 | 25 | |
| 13 | 2015 | 24 | |
| 14 | 2020 | 22 | |
| 15 | 2009 | 22 | |
| 16 | 2011 | 15 | |
| 17 | 2010 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2018 | 11 |
About Qingjun Wang
Qingjun Wang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 765 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Alzheimer's disease research and treatments (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neuroscience and Neuropharmacology Research (4 papers), RNA Research and Splicing (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Biological Psychiatry (14 citations), Neurology (45 citations), Behavioral Neuroscience (17 citations) and Molecular Medicine (23 citations). Qingjun Wang has collaborated with scholars based in China, United States and India. Frequent co-authors include Yan Zheng, Liang Zhao, Rui Yang, Qingtang Su, Yugang Niu, Shifeng Zhao, Jie Yin, Yun Tian, Yuhong Jing and Rui Yang. 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.