Yan Ou
Impact in
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
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- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
Papers in
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- Protist diversity and phylogeny 5
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- Gastric Cancer Management and Outcomes 4
- Co-authors
- Hongyang Liu (4 shared papers)A. Agung Julius (7 shared papers)Min Jun Kim (7 shared papers)Bao‐Song Gui (8 shared papers)Zhiguang Feng (1 shared paper)Yulin Si (1 shared paper)Aaron T. Becker (3 shared papers)Zhaoyang Duan (6 shared papers)
- Journals
- Neurocomputing (3 papers)Journal of Nanoparticle Research (1 paper)Blood Purification (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Kidney & Blood Pressure Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Ou
36 papers receiving 435 citations
Peers
Comparison fields: 5 of 98
- Condensed Matter Physics 81
- Computer Networks and Communications 136
- Nephrology 38
- Statistical and Nonlinear Physics 46
- Complementary and Manual Therapy 7
Countries citing papers authored by Yan Ou
This map shows the geographic impact of Yan Ou'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 Yan Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ou more than expected).
Fields of papers citing papers by Yan Ou
This network shows the impact of papers produced by Yan Ou. 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 Yan Ou. The network helps show where Yan Ou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ou, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 42 | |
| 2 | 2012 | 28 | |
| 3 | 2015 | 28 | |
| 4 | 2009 | 28 | |
| 5 | 2009 | 26 | |
| 6 | 2018 | 24 | |
| 7 | 2009 | 23 | |
| 8 | 2013 | 22 | |
| 9 | 2015 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2015 | 16 | |
| 12 | 2013 | 14 | |
| 13 | 2012 | 14 | |
| 14 | 2012 | 13 | |
| 15 | 2016 | 13 | |
| 16 | 2015 | 13 | |
| 17 | 2015 | 12 | |
| 18 | 2013 | 11 | |
| 19 | 2011 | 8 | |
| 20 | 2021 | 8 |
About Yan Ou
Yan Ou is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Condensed Matter Physics and Computer Networks and Communications, having authored 39 papers that have together received 440 indexed citations. Recurring topics across this work include Micro and Nano Robotics (6 papers), Protist diversity and phylogeny (5 papers), Modular Robots and Swarm Intelligence (4 papers), Gastric Cancer Management and Outcomes (4 papers), Neural Networks Stability and Synchronization (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Immune Cell Function and Interaction (3 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). The work is most often cited by research in Condensed Matter Physics (81 citations), Computer Networks and Communications (136 citations), Nephrology (38 citations), Statistical and Nonlinear Physics (46 citations) and Complementary and Manual Therapy (7 citations). Yan Ou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongyang Liu, A. Agung Julius, Min Jun Kim, Bao‐Song Gui, Zhiguang Feng, Yulin Si, Aaron T. Becker, Zhaoyang Duan, Dal Hyung Kim and Peng Shi. Their work appears in journals such as Neurocomputing, Journal of Nanoparticle Research, Blood Purification, IEEE Journal of Biomedical and Health Informatics and Kidney & Blood Pressure Research.
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.