Linkai Luo
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
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- Neural Networks and Applications 8
- Topic Modeling 3
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- Face and Expression Recognition 9
- Advanced Image Processing Techniques 4
- Co-authors
- Xi Chen (1 shared paper)Hong Peng (13 shared papers)Qifeng Zhou (9 shared papers)Fan Yang (2 shared papers)Zhimin Tang (5 shared papers)Yue Wang (3 shared papers)Hao Zhou (1 shared paper)Hai Liu (1 shared paper)
- Journals
- Neurocomputing (4 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)IEEE Access (2 papers)Applied Soft Computing (2 papers)Applied Intelligence (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Linkai Luo
38 papers receiving 594 citations
Peers
Comparison fields: 5 of 117
- Management Science and Operations Research 130
- Computer Vision and Pattern Recognition 125
- Finance 52
- Artificial Intelligence 165
- Health Information Management 20
Countries citing papers authored by Linkai Luo
This map shows the geographic impact of Linkai Luo'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 Linkai Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linkai Luo more than expected).
Fields of papers citing papers by Linkai Luo
This network shows the impact of papers produced by Linkai Luo. 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 Linkai Luo. The network helps show where Linkai Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Linkai Luo, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2012 | 78 | |
| 3 | 2022 | 54 | |
| 4 | 2017 | 38 | |
| 5 | 2020 | 34 | |
| 6 | 2016 | 33 | |
| 7 | 2018 | 31 | |
| 8 | 2012 | 29 | |
| 9 | 2010 | 27 | |
| 10 | 2017 | 26 | |
| 11 | 2012 | 23 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 18 | |
| 14 | 2010 | 14 | |
| 15 | 2023 | 11 | |
| 16 | 2019 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2010 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2012 | 7 |
About Linkai Luo
Linkai Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology and Signal Processing, having authored 41 papers that have together received 627 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Neural Networks and Applications (8 papers), Advanced Algorithms and Applications (7 papers), Image Processing Techniques and Applications (4 papers), Advanced Image Processing Techniques (4 papers), Gene expression and cancer classification (4 papers), Stock Market Forecasting Methods (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Management Science and Operations Research (130 citations), Computer Vision and Pattern Recognition (125 citations), Finance (52 citations), Artificial Intelligence (165 citations) and Health Information Management (20 citations). Linkai Luo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xi Chen, Hong Peng, Qifeng Zhou, Fan Yang, Zhimin Tang, Yue Wang, Hao Zhou, Hai Liu, Guifang Shao and Siyu Yao. Their work appears in journals such as Neurocomputing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Access, Applied Soft Computing and Applied Intelligence.
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.