Cuili Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
Papers in
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- Neural Networks and Applications 22
- Neural Networks and Reservoir Computing 18
- Machine Learning and ELM 11
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- Advanced Memory and Neural Computing 15
- Optical Network Technologies 10
- Co-authors
- Junfei Qiao (27 shared papers)Yongyong Xi (8 shared papers)Dejia Li (7 shared papers)Zhiqiang Zuo (4 shared papers)Yijing Wang (4 shared papers)Cheng‐Cao Sun (8 shared papers)Junfei Qiao (8 shared papers)Shujun Li (5 shared papers)
In The Last Decade
Cuili Yang
76 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 346
- Artificial Intelligence 444
- Control and Systems Engineering 212
- Computer Networks and Communications 192
- Computational Theory and Mathematics 100
Countries citing papers authored by Cuili Yang
This map shows the geographic impact of Cuili Yang'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 Cuili Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuili Yang more than expected).
Fields of papers citing papers by Cuili Yang
This network shows the impact of papers produced by Cuili Yang. 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 Cuili Yang. The network helps show where Cuili Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuili Yang, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2016 | 105 | |
| 3 | 2016 | 102 | |
| 4 | 2009 | 102 | |
| 5 | 2016 | 77 | |
| 6 | 2016 | 67 | |
| 7 | 2016 | 63 | |
| 8 | 2019 | 44 | |
| 9 | 2016 | 43 | |
| 10 | 2018 | 41 | |
| 11 | 2018 | 39 | |
| 12 | 2011 | 38 | |
| 13 | 2018 | 38 | |
| 14 | 2019 | 37 | |
| 15 | 2022 | 35 | |
| 16 | 2018 | 34 | |
| 17 | 2018 | 31 | |
| 18 | 2019 | 28 | |
| 19 | 2020 | 24 | |
| 20 | 2016 | 21 |
About Cuili Yang
Cuili Yang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Molecular Biology and Water Science and Technology, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Neural Networks and Reservoir Computing (18 papers), Advanced Memory and Neural Computing (15 papers), Water Quality Monitoring Technologies (13 papers), Machine Learning and ELM (11 papers), Optical Network Technologies (10 papers), Neural Networks Stability and Synchronization (9 papers) and Circular RNAs in diseases (7 papers). The work is most often cited by research in Cancer Research (346 citations), Artificial Intelligence (444 citations), Control and Systems Engineering (212 citations), Computer Networks and Communications (192 citations) and Computational Theory and Mathematics (100 citations). Cuili Yang has collaborated with scholars based in China, Hong Kong and Mexico. Frequent co-authors include Junfei Qiao, Yongyong Xi, Dejia Li, Zhiqiang Zuo, Yijing Wang, Cheng‐Cao Sun, Junfei Qiao, Shujun Li, Honggui Han and Feng Zhang. Their work appears in journals such as Neural Computing and Applications, Information Sciences, Applied Soft Computing, Oncotarget and IEEE Access.
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.