Hang Wei
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
-
- Machine Learning in Bioinformatics 6
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Protein Structure and Dynamics 2
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
- Co-authors
- Bin Liu (8 shared papers)Qing Liao (2 shared papers)Yong Xu (1 shared paper)Bin Liu (2 shared papers)Yuxin Ding (1 shared paper)Ke Yan (2 shared papers)Jun Zhang (1 shared paper)Ri‐Bo Huang (1 shared paper)
- Journals
- Briefings in Bioinformatics (4 papers)Bioinformatics (3 papers)PLoS Computational Biology (2 papers)BMC Biology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- ChinaRussiaUnited States
In The Last Decade
Hang Wei
17 papers receiving 368 citations
Peers
Comparison fields: 5 of 39
- Cancer Research 207
- Molecular Biology 303
- Computational Theory and Mathematics 27
- Periodontics 3
- Endocrinology 3
Countries citing papers authored by Hang Wei
This map shows the geographic impact of Hang Wei'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 Hang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Wei more than expected).
Fields of papers citing papers by Hang Wei
This network shows the impact of papers produced by Hang Wei. 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 Hang Wei. The network helps show where Hang Wei may publish in the future.
Co-authors
The 23 scholars most cited alongside Hang Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 145 | |
| 2 | 2020 | 44 | |
| 3 | 2020 | 41 | |
| 4 | 2022 | 34 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2023 | 13 | |
| 9 | 2008 | 12 | |
| 10 | 2022 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 0 |
About Hang Wei
Hang Wei is a scholar working on Molecular Biology, Cancer Research, Surgery, Control and Systems Engineering and Computational Theory and Mathematics, having authored 18 papers that have together received 375 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Cancer-related molecular mechanisms research (5 papers), Bioinformatics and Genomic Networks (4 papers), MicroRNA in disease regulation (4 papers), Gene expression and cancer classification (2 papers), Protein Structure and Dynamics (2 papers), RNA modifications and cancer (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cancer Research (207 citations), Molecular Biology (303 citations), Computational Theory and Mathematics (27 citations), Periodontics (3 citations) and Endocrinology (3 citations). Hang Wei has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Bin Liu, Qing Liao, Yong Xu, Bin Liu, Yong Xu, Yuxin Ding, Ke Yan, Jun Zhang, Ri‐Bo Huang and Qi-Shi Du. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, PLoS Computational Biology, BMC Biology and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.