Xiaoling Luo
Impact in
- Artificial Intelligence top 10%
- Text and Document Classification Technologies
- Neural Networks and Reservoir Computing
Papers in
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- Neural dynamics and brain function 9
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- Neural Networks and Applications 3
- Text and Document Classification Technologies 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Chengliang Liu (8 shared papers)Yong Dong Xu (4 shared papers)Jie Wen (5 shared papers)Zhihao Wu (3 shared papers)Zhehan Zhang (1 shared paper)Lin Zuo (1 shared paper)Yu Liu (1 shared paper)Lei Zhang (1 shared paper)
In The Last Decade
Xiaoling Luo
25 papers receiving 477 citations
Peers
Comparison fields: 5 of 57
- Computational Mathematics 6
- Artificial Intelligence 204
- Computer Vision and Pattern Recognition 123
- Cognitive Neuroscience 90
- Control and Systems Engineering 79
Countries citing papers authored by Xiaoling Luo
This map shows the geographic impact of Xiaoling 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 Xiaoling Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Luo more than expected).
Fields of papers citing papers by Xiaoling Luo
This network shows the impact of papers produced by Xiaoling 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 Xiaoling Luo. The network helps show where Xiaoling Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 91 | |
| 2 | 2023 | 81 | |
| 3 | 2023 | 52 | |
| 4 | 2023 | 50 | |
| 5 | 2020 | 40 | |
| 6 | 2019 | 37 | |
| 7 | 2024 | 23 | |
| 8 | 2024 | 22 | |
| 9 | 2024 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2021 | 11 | |
| 12 | 2024 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2025 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 1 | |
| 20 | Temperature and Humidity Acquisition System Based on Sensor DHT11 | 2013 | 1 |
About Xiaoling Luo
Xiaoling Luo is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 32 papers that have together received 480 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (9 papers), Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (4 papers), Machine Learning in Bioinformatics (3 papers), Neural Networks and Applications (3 papers), Text and Document Classification Technologies (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computational Mathematics (6 citations), Artificial Intelligence (204 citations), Computer Vision and Pattern Recognition (123 citations), Cognitive Neuroscience (90 citations) and Control and Systems Engineering (79 citations). Xiaoling Luo has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Chengliang Liu, Yong Dong Xu, Jie Wen, Zhihao Wu, Zhehan Zhang, Lin Zuo, Yu Liu, Lei Zhang, Malu Zhang and Hong Qu. Their work appears in journals such as Neural Networks, Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Molecular Sciences and Applied Soft Computing.
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.