Yihe Pang
Impact in
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- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- Bioinformatics and Genomic Networks
Papers in
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- Protein Structure and Dynamics 7
- Machine Learning in Bioinformatics 7
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
- Bioinformatics and Genomic Networks 2
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- Advanced Graph Neural Networks 1
- Natural Language Processing Techniques 1
- Co-authors
- Bin Liu (4 shared papers)Hongliang Li (1 shared paper)Bin Liu (2 shared papers)Ke Yan (2 shared papers)Kai Zhang (1 shared paper)Liang Yu (1 shared paper)Lizhen Liu (1 shared paper)Zhengtao Yu (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Bioinformatics (2 papers)BMC Biology (1 paper)Genomics Proteomics & Bioinformatics (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- China
In The Last Decade
Yihe Pang
10 papers receiving 424 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 349
- Microbiology 22
- Computational Theory and Mathematics 57
- Cancer Research 38
- Pharmacology 7
Countries citing papers authored by Yihe Pang
This map shows the geographic impact of Yihe Pang'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 Yihe Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yihe Pang more than expected).
Fields of papers citing papers by Yihe Pang
This network shows the impact of papers produced by Yihe Pang. 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 Yihe Pang. The network helps show where Yihe Pang may publish in the future.
Co-authors
The 8 scholars most cited alongside Yihe Pang, 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 | 2021 | 189 | |
| 2 | 2020 | 132 | |
| 3 | 2021 | 25 | |
| 4 | 2024 | 21 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 12 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 7 |
About Yihe Pang
Yihe Pang is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 427 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Advanced Graph Neural Networks (1 paper), Natural Language Processing Techniques (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (349 citations), Microbiology (22 citations), Computational Theory and Mathematics (57 citations), Cancer Research (38 citations) and Pharmacology (7 citations). Yihe Pang has collaborated with scholars based in China. Frequent co-authors include Bin Liu, Hongliang Li, Bin Liu, Ke Yan, Kai Zhang, Liang Yu, Lizhen Liu and Zhengtao Yu. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, BMC Biology, Genomics Proteomics & Bioinformatics 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.