Pengwei Hu
Impact in
- Ecology top 0.5%
- Microbial Community Ecology and Physiology
- Molecular Biology top 1%
- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
Papers in
-
- Computational Drug Discovery Methods 31
- Co-authors
- Todd Z. DeSantisGary L. AndersenDaniel DaleviN. LarsenThomas HuberPhilip HugenholtzKeith KellerEoin Brodie
- Journals
- IEEE Journal of Biomedical and Health Informatics (8 papers)Briefings in Bioinformatics (7 papers)Neurocomputing (5 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (4 papers)Infection Genetics and Evolution (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Pengwei Hu
112 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Ecology 2.7k
- Molecular Biology 5.8k
- Pollution 818
- Environmental Chemistry 610
- Periodontics 240
Countries citing papers authored by Pengwei Hu
This map shows the geographic impact of Pengwei Hu'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 Pengwei Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengwei Hu more than expected).
Fields of papers citing papers by Pengwei Hu
This network shows the impact of papers produced by Pengwei Hu. 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 Pengwei Hu. The network helps show where Pengwei Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pengwei Hu, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 14 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 46 | |
| 7 | 2024 | 17 | |
| 8 | 2024 | 18 | |
| 9 | 2024 | 22 | |
| 10 | 2024 | 39 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 63 | |
| 14 | 2023 | 70 | |
| 15 | 2022 | 82 | |
| 16 | 2022 | 40 | |
| 17 | 2021 | 48 | |
| 18 | 2020 | 34 | |
| 19 | 2018 | 58 | |
| 20 | 2018 | 10 |
About Pengwei Hu
Pengwei Hu is a scholar working on Computational Theory and Mathematics, Biophysics, Molecular Biology, Statistical and Nonlinear Physics and Cancer Research, having authored 120 papers that have together received 11.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (31 papers), Bioinformatics and Genomic Networks (27 papers), Machine Learning in Bioinformatics (19 papers), Cancer-related molecular mechanisms research (10 papers), Complex Network Analysis Techniques (10 papers), Protein Structure and Dynamics (9 papers), RNA and protein synthesis mechanisms (6 papers) and Machine Learning in Materials Science (6 papers). The work is most often cited by research in Ecology (2.7k citations), Molecular Biology (5.8k citations), Pollution (818 citations), Environmental Chemistry (610 citations) and Periodontics (240 citations). Pengwei Hu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Todd Z. DeSantis, Gary L. Andersen, Daniel Dalevi, N. Larsen, Thomas Huber, Philip Hugenholtz, Keith Keller, Eoin Brodie, Mark Rojas and Zhu‐Hong You. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Briefings in Bioinformatics, Neurocomputing, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Infection Genetics and Evolution.
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.