Dong‐Qing Wei
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Computational Drug Discovery Methods 121
-
- Protein Structure and Dynamics 62
- vaccines and immunoinformatics approaches 59
- Machine Learning in Bioinformatics 41
- RNA and protein synthesis mechanisms 36
- Bioinformatics and Genomic Networks 31
- Co-authors
- G. N. PateyDennis R. SalahubKuo‐Chen ChouAman Chandra KaushikYi XiongJingfang WangAbbas KhanSyed Shujait Ali
- Journals
- Computers in Biology and Medicine (26 papers)Journal of Biomolecular Structure and Dynamics (25 papers)The Journal of Chemical Physics (21 papers)Briefings in Bioinformatics (17 papers)Scientific Reports (15 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Dong‐Qing Wei
559 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Computational Theory and Mathematics 2.5k
- Infectious Diseases 1.9k
- Molecular Biology 6.8k
- Physical and Theoretical Chemistry 764
- Filtration and Separation 174
Countries citing papers authored by Dong‐Qing Wei
This map shows the geographic impact of Dong‐Qing 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 Dong‐Qing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Qing Wei more than expected).
Fields of papers citing papers by Dong‐Qing Wei
This network shows the impact of papers produced by Dong‐Qing 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 Dong‐Qing Wei. The network helps show where Dong‐Qing Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong‐Qing 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 32 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 64 | |
| 19 | 2020 | 6 | |
| 20 | 2019 | 25 |
About Dong‐Qing Wei
Dong‐Qing Wei is a scholar working on Computational Theory and Mathematics, Molecular Biology, Physical and Theoretical Chemistry, Infectious Diseases and Pharmacology, having authored 584 papers that have together received 12.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (121 papers), Protein Structure and Dynamics (62 papers), vaccines and immunoinformatics approaches (59 papers), SARS-CoV-2 and COVID-19 Research (44 papers), Machine Learning in Bioinformatics (41 papers), RNA and protein synthesis mechanisms (36 papers), Spectroscopy and Quantum Chemical Studies (35 papers) and Bioinformatics and Genomic Networks (31 papers). The work is most often cited by research in Computational Theory and Mathematics (2.5k citations), Infectious Diseases (1.9k citations), Molecular Biology (6.8k citations), Physical and Theoretical Chemistry (764 citations) and Filtration and Separation (174 citations). Dong‐Qing Wei has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include G. N. Patey, Dennis R. Salahub, Kuo‐Chen Chou, Aman Chandra Kaushik, Yi Xiong, Jingfang Wang, Abbas Khan, Abbas Khan, Syed Shujait Ali and Yanjing Wang. Their work appears in journals such as Computers in Biology and Medicine, Journal of Biomolecular Structure and Dynamics, The Journal of Chemical Physics, Briefings in Bioinformatics and Scientific Reports.
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.