Ning Jun Ruan
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
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- Advanced Optimization Algorithms Research 14
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- Optimization and Variational Analysis 9
- Co-authors
- Ruoming Jin (10 shared papers)Prof. Yang Xiang (4 shared papers)David Yang Gao (15 shared papers)Haixun Wang (3 shared papers)Victor E. Lee (2 shared papers)David Fuhry (1 shared paper)Charų C. Aggarwal (1 shared paper)Hanif D. Sherali (2 shared papers)
- Journals
- Applied Mathematics and Computation (2 papers)Journal of Global Optimization (2 papers)Computational Optimization and Applications (1 paper)Performance Evaluation (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Ning Jun Ruan
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Signal Processing 456
- Numerical Analysis 145
- Computer Networks and Communications 434
- Computational Theory and Mathematics 300
- Computer Vision and Pattern Recognition 372
Countries citing papers authored by Ning Jun Ruan
This map shows the geographic impact of Ning Jun Ruan'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 Ning Jun Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Jun Ruan more than expected).
Fields of papers citing papers by Ning Jun Ruan
This network shows the impact of papers produced by Ning Jun Ruan. 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 Ning Jun Ruan. The network helps show where Ning Jun Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Jun Ruan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 165 | |
| 2 | 2009 | 164 | |
| 3 | 2008 | 122 | |
| 4 | 2010 | 81 | |
| 5 | 2012 | 69 | |
| 6 | 2012 | 66 | |
| 7 | 2011 | 56 | |
| 8 | 2009 | 37 | |
| 9 | 2009 | 35 | |
| 10 | 2014 | 26 | |
| 11 | 2011 | 25 | |
| 12 | 2014 | 25 | |
| 13 | 2008 | 24 | |
| 14 | 2006 | 23 | |
| 15 | 2008 | 22 | |
| 16 | 2011 | 19 | |
| 17 | 2010 | 15 | |
| 18 | 2012 | 13 | |
| 19 | 2008 | 13 | |
| 20 | 2020 | 11 |
About Ning Jun Ruan
Ning Jun Ruan is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Signal Processing, Computer Vision and Pattern Recognition and Statistics, Probability and Uncertainty, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (14 papers), Optimization and Variational Analysis (9 papers), Data Management and Algorithms (8 papers), Graph Theory and Algorithms (7 papers), Probabilistic and Robust Engineering Design (5 papers), Advanced Database Systems and Queries (5 papers), Reliability and Maintenance Optimization (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Signal Processing (456 citations), Numerical Analysis (145 citations), Computer Networks and Communications (434 citations), Computational Theory and Mathematics (300 citations) and Computer Vision and Pattern Recognition (372 citations). Ning Jun Ruan has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Ruoming Jin, Prof. Yang Xiang, David Yang Gao, Haixun Wang, Victor E. Lee, David Fuhry, Charų C. Aggarwal, Hanif D. Sherali, Victor C. S. Lee and Saikat Kumar Dey. Their work appears in journals such as Applied Mathematics and Computation, Journal of Global Optimization, Computational Optimization and Applications, Performance Evaluation and ACM Transactions on Database Systems.
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.