Junming Yin
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Advanced Graph Neural Networks 3
- Sentiment Analysis and Opinion Mining 2
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- Bioinformatics and Genomic Networks 4
- Co-authors
- Greg Ver Steeg (2 shared papers)Linhong Zhu (2 shared papers)Aram Galstyan (2 shared papers)Dong Guo (2 shared papers)Eric P. Xing (6 shared papers)Weifeng Li (3 shared papers)Michael I. Jordan (2 shared papers)Yun S. Song (1 shared paper)
- Journals
- Bioinformatics (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Information Systems Research (1 paper)Marketing Science (1 paper)Statistical Applications in Genetics and Molecular Biology (1 paper)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Junming Yin
22 papers receiving 291 citations
Peers
Comparison fields: 5 of 61
- Statistical and Nonlinear Physics 151
- Computational Mathematics 4
- Artificial Intelligence 194
- Transportation 16
- Information Systems 39
Countries citing papers authored by Junming Yin
This map shows the geographic impact of Junming Yin'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 Junming Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junming Yin more than expected).
Fields of papers citing papers by Junming Yin
This network shows the impact of papers produced by Junming Yin. 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 Junming Yin. The network helps show where Junming Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junming Yin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 169 | |
| 2 | 2017 | 19 | |
| 3 | 2009 | 19 | |
| 4 | 2021 | 15 | |
| 5 | 2016 | 13 | |
| 6 | 2018 | 7 | |
| 7 | 2011 | 7 | |
| 8 | 2006 | 6 | |
| 9 | 2014 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2022 | 4 | |
| 16 | Identifying high quality carding services in underground economy using nonparametric supervised topic model | 2016 | 3 |
| 17 | 2022 | 3 | |
| 18 | Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models | 2020 | 2 |
| 19 | 2018 | 2 | |
| 20 | 2021 | 1 |
About Junming Yin
Junming Yin is a scholar working on Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics, Genetics and Economics and Econometrics, having authored 23 papers that have together received 301 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (4 papers), Advanced Graph Neural Networks (3 papers), Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Spam and Phishing Detection (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (151 citations), Computational Mathematics (4 citations), Artificial Intelligence (194 citations), Transportation (16 citations) and Information Systems (39 citations). Junming Yin has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Greg Ver Steeg, Linhong Zhu, Aram Galstyan, Dong Guo, Eric P. Xing, Weifeng Li, Michael I. Jordan, Yun S. Song, Qirong Ho and Hsinchun Chen. Their work appears in journals such as Bioinformatics, IEEE Transactions on Knowledge and Data Engineering, Information Systems Research, Marketing Science and Statistical Applications in Genetics and Molecular Biology.
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.