Junlin Yu
Impact in
- Molecular Medicine top 10%
Papers in
-
- Genomics and Phylogenetic Studies 4
- Co-authors
- Guo‐Bo Li (11 shared papers)Jianwei Huang (6 shared papers)Man Hon Cheung (6 shared papers)Qing-Qing Dai (4 shared papers)José Suárez‐Varela (3 shared papers)Albert Mestres (3 shared papers)Kuang Li (3 shared papers)Pere Barlet‐Ros (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)CATENA (3 papers)IEEE Transactions on Mobile Computing (2 papers)IEEE Journal on Selected Areas in Communications (2 papers)Chemical Communications (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Junlin Yu
49 papers receiving 791 citations
Peers
Comparison fields: 5 of 134
- Biological Psychiatry 21
- Molecular Medicine 36
- Computer Networks and Communications 108
- Biochemistry 32
- Molecular Biology 300
Countries citing papers authored by Junlin Yu
This map shows the geographic impact of Junlin Yu'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 Junlin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlin Yu more than expected).
Fields of papers citing papers by Junlin Yu
This network shows the impact of papers produced by Junlin Yu. 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 Junlin Yu. The network helps show where Junlin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlin Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 63 | |
| 2 | 2008 | 59 | |
| 3 | 2021 | 53 | |
| 4 | 2013 | 46 | |
| 5 | 2019 | 45 | |
| 6 | 2019 | 38 | |
| 7 | 2019 | 36 | |
| 8 | 2017 | 36 | |
| 9 | 2019 | 32 | |
| 10 | 2011 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2019 | 25 | |
| 14 | 2010 | 24 | |
| 15 | 2016 | 23 | |
| 16 | 2022 | 21 | |
| 17 | 2021 | 19 | |
| 18 | 2015 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2022 | 18 |
About Junlin Yu
Junlin Yu is a scholar working on Molecular Biology, Computer Networks and Communications, Computational Theory and Mathematics, Atmospheric Science and Economics and Econometrics, having authored 51 papers that have together received 813 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Genomics and Phylogenetic Studies (4 papers), Phytochemistry and Biological Activities (4 papers), Geology and Paleoclimatology Research (4 papers), Digital Platforms and Economics (4 papers), Aeolian processes and effects (4 papers), Advanced Optical Network Technologies (3 papers) and Consumer Market Behavior and Pricing (3 papers). The work is most often cited by research in Biological Psychiatry (21 citations), Molecular Medicine (36 citations), Computer Networks and Communications (108 citations), Biochemistry (32 citations) and Molecular Biology (300 citations). Junlin Yu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Guo‐Bo Li, Jianwei Huang, Man Hon Cheung, Qing-Qing Dai, José Suárez‐Varela, Albert Mestres, Kuang Li, Pere Barlet‐Ros, Albert Cabellos‐Aparicio and H. Vincent Poor. Their work appears in journals such as Journal of Medicinal Chemistry, CATENA, IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications and Chemical Communications.
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.