Yulong Shi
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- Computational Drug Discovery Methods 9
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- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 2
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- vaccines and immunoinformatics approaches 4
- Protein Structure and Dynamics 3
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- Monoclonal and Polyclonal Antibodies Research 4
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- Neuroscience and Neuropharmacology Research 2
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- Memory and Neural Mechanisms 2
Yulong Shi
22 papers receiving 340 citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 120
- Infectious Diseases 111
- Complementary and alternative medicine 32
- Pharmacology 28
- Molecular Biology 189
Countries citing papers authored by Yulong Shi
This map shows the geographic impact of Yulong Shi'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 Yulong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulong Shi more than expected).
Fields of papers citing papers by Yulong Shi
This network shows the impact of papers produced by Yulong Shi. 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 Yulong Shi. The network helps show where Yulong Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yulong Shi, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 65 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 0 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 21 | |
| 17 | 2021 | 19 | |
| 18 | 2020 | 37 | |
| 19 | 2020 | 40 | |
| 20 | 2020 | 59 |
About Yulong Shi
Yulong Shi is a scholar working on Computational Theory and Mathematics, Infectious Diseases, Biological Psychiatry, Behavioral Neuroscience and Physical and Theoretical Chemistry, having authored 25 papers that have together received 343 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Computational Drug Discovery Methods (9 papers), vaccines and immunoinformatics approaches (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protein Structure and Dynamics (3 papers), Neuroscience and Neuropharmacology Research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (120 citations), Infectious Diseases (111 citations), Complementary and alternative medicine (32 citations), Pharmacology (28 citations) and Molecular Biology (189 citations). Yulong Shi has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Weiliang Zhu, Zhijian Xu, Cheng Peng, Yanqing Yang, Xinben Zhang, Zhengdan Zhu, Kaijie Mu, Liping Zhou, Leyun Wu and Xiaoyu Wang. Their work appears in journals such as Computers in Biology and Medicine, Acta Pharmaceutica Sinica B, Briefings in Bioinformatics, Journal of Chemical Information and Modeling and Neuropsychopharmacology.
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.