Jiayu Gong
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- Computational Drug Discovery Methods 10
- Pharmacology top 2%
- Microbial Natural Products and Biosynthesis 3
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- Software-Defined Networks and 5G 6
- IoT and Edge/Fog Computing 4
- Information Systems top 2%
- Cloud Computing and Resource Management 7
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 3
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- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 3
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- Advanced MIMO Systems Optimization 4
- Journals
- Bioinformatics (2 papers)Journal of Chemical Information and Modeling (2 papers)Chinese Journal of Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jiayu Gong
26 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 459
- Pharmacology 224
- Computer Networks and Communications 433
- Information Systems 307
- Pharmacology 210
Countries citing papers authored by Jiayu Gong
This map shows the geographic impact of Jiayu Gong'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 Jiayu Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayu Gong more than expected).
Fields of papers citing papers by Jiayu Gong
This network shows the impact of papers produced by Jiayu Gong. 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 Jiayu Gong. The network helps show where Jiayu Gong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiayu Gong, 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 | 2023 | 1 | |
| 2 | 2021 | 8 | |
| 3 | 2016 | 206 | |
| 4 | 2015 | 2 | |
| 5 | 2014 | 34 | |
| 6 | 2013 | 65 | |
| 7 | 2013 | 28 | |
| 8 | 2013 | 12 | |
| 9 | 2013 | 170 | |
| 10 | 2013 | 3 | |
| 11 | 2012 | 60 | |
| 12 | 2011 | 10 | |
| 13 | 2011 | 166 | |
| 14 | 2011 | 34 | |
| 15 | PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approachbreakdown → | 2010 | 706 |
| 16 | 2010 | 15 | |
| 17 | 2010 | 29 | |
| 18 | 2008 | 3 | |
| 19 | 2008 | 42 | |
| 20 | 2007 | 75 |
About Jiayu Gong
Jiayu Gong is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Pharmacology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Cloud Computing and Resource Management (7 papers), Software-Defined Networks and 5G (6 papers), Protein Structure and Dynamics (5 papers), IoT and Edge/Fog Computing (4 papers), Advanced MIMO Systems Optimization (4 papers), Machine Learning in Bioinformatics (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (459 citations), Pharmacology (224 citations) and Computer Networks and Communications (433 citations). Jiayu Gong has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Honglin Li, Chengzhong Xu, Xiaofeng Liu, Hualiang Jiang, Zhihua Li, Biao Yu, Yabo Liu, Siyuan Zheng, Kai Huang and Sisheng Ouyang. Their work appears in journals such as Bioinformatics, Journal of Chemical Information and Modeling, Chinese Journal of Chemistry, IEEE Transactions on Mobile Computing and Proteins Structure Function 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.