Rui Nian
Impact in
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- Image Enhancement Techniques
- Face and Expression Recognition
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
Papers in
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- Image Enhancement Techniques 18
- Face and Expression Recognition 7
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- Machine Learning and ELM 23
- Neural Networks and Applications 7
- Co-authors
- Amaury Lendasse (40 shared papers)Bo He (31 shared papers)Tianhong Yan (24 shared papers)Bo He (22 shared papers)Yoan Miché (9 shared papers)Yue Shen (16 shared papers)Anton Akusok (6 shared papers)Mark van Heeswijk (3 shared papers)
- Journals
- Neurocomputing (9 papers)Sensors (4 papers)Frontiers in Marine Science (3 papers)Cognitive Computation (3 papers)Journal of Food Protection (2 papers)
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Rui Nian
92 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 331
- Aquatic Science 88
- Physiology 49
- Artificial Intelligence 308
- Ocean Engineering 136
Countries citing papers authored by Rui Nian
This map shows the geographic impact of Rui Nian'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 Rui Nian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Nian more than expected).
Fields of papers citing papers by Rui Nian
This network shows the impact of papers produced by Rui Nian. 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 Rui Nian. The network helps show where Rui Nian may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui Nian, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2014 | 69 | |
| 3 | 2017 | 61 | |
| 4 | 2013 | 46 | |
| 5 | 2012 | 46 | |
| 6 | 2010 | 45 | |
| 7 | 2013 | 42 | |
| 8 | 2017 | 38 | |
| 9 | 2018 | 36 | |
| 10 | 2015 | 34 | |
| 11 | 2015 | 34 | |
| 12 | 2013 | 32 | |
| 13 | 2014 | 29 | |
| 14 | 2012 | 24 | |
| 15 | 2013 | 24 | |
| 16 | 2018 | 22 | |
| 17 | 2017 | 20 | |
| 18 | 2014 | 19 | |
| 19 | 2013 | 18 | |
| 20 | 2015 | 18 |
About Rui Nian
Rui Nian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering, Oceanography and Aerospace Engineering, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning and ELM (23 papers), Image Enhancement Techniques (18 papers), Underwater Vehicles and Communication Systems (17 papers), Underwater Acoustics Research (11 papers), Robotics and Sensor-Based Localization (10 papers), Water Quality Monitoring Technologies (8 papers), Face and Expression Recognition (7 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (331 citations), Aquatic Science (88 citations), Physiology (49 citations), Artificial Intelligence (308 citations) and Ocean Engineering (136 citations). Rui Nian has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Amaury Lendasse, Bo He, Tianhong Yan, Bo He, Yoan Miché, Yue Shen, Anton Akusok, Mark van Heeswijk, Kaj-Mikael Björk and Qi Yu. Their work appears in journals such as Neurocomputing, Sensors, Frontiers in Marine Science, Cognitive Computation and Journal of Food Protection.
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.