Ri‐Qi Su
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
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- Protein Hydrolysis and Bioactive Peptides 3
- Gene Regulatory Network Analysis 3
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- Complex Network Analysis Techniques 5
- Co-authors
- Ying‐Cheng Lai (7 shared papers)Luo-Luo Jiang (2 shared papers)Xiao Wang (5 shared papers)Wen-Xu Wang (2 shared papers)Tao Zhou (3 shared papers)Yicheng Zhang (1 shared paper)Run-Ran Liu (1 shared paper)Bing-Hong Wang (1 shared paper)
- Journals
- Food Hydrocolloids (3 papers)Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (1 paper)eLife (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ri‐Qi Su
17 papers receiving 687 citations
Peers
Comparison fields: 5 of 88
- Statistical and Nonlinear Physics 248
- Information Systems 256
- Computer Networks and Communications 150
- Transportation 38
- Biophysics 24
Countries citing papers authored by Ri‐Qi Su
This map shows the geographic impact of Ri‐Qi Su'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 Ri‐Qi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ri‐Qi Su more than expected).
Fields of papers citing papers by Ri‐Qi Su
This network shows the impact of papers produced by Ri‐Qi Su. 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 Ri‐Qi Su. The network helps show where Ri‐Qi Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ri‐Qi Su, 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 | Effect of initial configuration on network-based recommendation | 2008 | 196 |
| 2 | Accurate and diverse recommendations via eliminating redundant correlations | 2010 | 110 |
| 3 | 2013 | 80 | |
| 4 | 2012 | 66 | |
| 5 | 2017 | 58 | |
| 6 | 2014 | 45 | |
| 7 | 2014 | 29 | |
| 8 | 2012 | 25 | |
| 9 | 2016 | 19 | |
| 10 | 2014 | 16 | |
| 11 | 2025 | 14 | |
| 12 | 2025 | 13 | |
| 13 | 2025 | 11 | |
| 14 | 2010 | 11 | |
| 15 | 2025 | 5 | |
| 16 | 2017 | 2 | |
| 17 | 2025 | 1 |
About Ri‐Qi Su
Ri‐Qi Su is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Food Science, Cognitive Neuroscience and Computer Networks and Communications, having authored 17 papers that have together received 701 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Proteins in Food Systems (5 papers), Neural dynamics and brain function (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Neural Networks and Reservoir Computing (3 papers), Gene Regulatory Network Analysis (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (248 citations), Information Systems (256 citations), Computer Networks and Communications (150 citations), Transportation (38 citations) and Biophysics (24 citations). Ri‐Qi Su has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Ying‐Cheng Lai, Luo-Luo Jiang, Xiao Wang, Wen-Xu Wang, Tao Zhou, Yicheng Zhang, Run-Ran Liu, Bing-Hong Wang, Fuqing Wu and Tom Ellis. Their work appears in journals such as Food Hydrocolloids, Scientific Reports, Proceedings of the National Academy of Sciences, eLife and International Journal of Biological Macromolecules.
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.