Zhenwei Shang
Impact in
- Periodontics top 10%
- Oral microbiology and periodontitis research
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
Papers in
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- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 3
- Gene expression and cancer classification 2
- Cancer-related gene regulation 2
- Genetics 6
- Diabetes and associated disorders 2
- Co-authors
- Ruijie Zhang (14 shared papers)Hongchao Lv (12 shared papers)Jian Zhang (3 shared papers)Honge Ren (2 shared papers)Yongshuai Jiang (12 shared papers)Jin Li (7 shared papers)Wenhua Lv (8 shared papers)Mingming Zhang (6 shared papers)
- Journals
- Oncotarget (6 papers)Genes & Diseases (2 papers)Briefings in Functional Genomics (1 paper)Molecular Biology Reports (1 paper)Neuroscience (1 paper)
- Partner nations
- China
In The Last Decade
Zhenwei Shang
21 papers receiving 336 citations
Peers
Comparison fields: 5 of 74
- Periodontics 24
- Computer Vision and Pattern Recognition 68
- Computational Theory and Mathematics 47
- Neurology 19
- Rheumatology 27
Countries citing papers authored by Zhenwei Shang
This map shows the geographic impact of Zhenwei Shang'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 Zhenwei Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenwei Shang more than expected).
Fields of papers citing papers by Zhenwei Shang
This network shows the impact of papers produced by Zhenwei Shang. 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 Zhenwei Shang. The network helps show where Zhenwei Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenwei Shang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 57 | |
| 2 | 2012 | 37 | |
| 3 | 2014 | 36 | |
| 4 | 2009 | 33 | |
| 5 | 2017 | 28 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 26 | |
| 8 | 2016 | 18 | |
| 9 | 2014 | 18 | |
| 10 | 2020 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2023 | 9 | |
| 13 | 2007 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2024 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2007 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2015 | 2 |
About Zhenwei Shang
Zhenwei Shang is a scholar working on Molecular Biology, Genetics, Rheumatology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 21 papers that have together received 356 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Chaos-based Image/Signal Encryption (3 papers), Machine Learning in Bioinformatics (3 papers), Gene expression and cancer classification (2 papers), Diabetes and associated disorders (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Periodontics (24 citations), Computer Vision and Pattern Recognition (68 citations), Computational Theory and Mathematics (47 citations), Neurology (19 citations) and Rheumatology (27 citations). Zhenwei Shang has collaborated with scholars based in China. Frequent co-authors include Ruijie Zhang, Hongchao Lv, Jian Zhang, Honge Ren, Yongshuai Jiang, Jin Li, Wenhua Lv, Mingming Zhang, Yuanbo Zhan and Mingming Zhang. Their work appears in journals such as Oncotarget, Genes & Diseases, Briefings in Functional Genomics, Molecular Biology Reports and Neuroscience.
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.