Qi Lin
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
-
- Functional Brain Connectivity Studies 5
- Neural and Behavioral Psychology Studies 4
- Neural dynamics and brain function 3
- Memory Processes and Influences 3
- Memory and Neural Mechanisms 2
- Co-authors
- Marvin M. ChunKwangsun YooMonica D. RosenbergWei-Ting HsuThomas O’ConnellXinmin TaoXiaohan ZhangWei Chen
- Journals
- Journal of Vision (2 papers)Journal of Cognitive Neuroscience (2 papers)Nature Human Behaviour (2 papers)Information Sciences (1 paper)Frontiers in Aging Neuroscience (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Qi Lin
16 papers receiving 256 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 132
- Computational Mathematics 2
- Experimental and Cognitive Psychology 34
- Artificial Intelligence 62
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Qi Lin
This map shows the geographic impact of Qi Lin'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 Qi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Lin more than expected).
Fields of papers citing papers by Qi Lin
This network shows the impact of papers produced by Qi Lin. 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 Qi Lin. The network helps show where Qi Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qi Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 44 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 28 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 78 | |
| 18 | 2018 | 1 |
About Qi Lin
Qi Lin is a scholar working on Cognitive Neuroscience, Biophysics, Experimental and Cognitive Psychology, Health Information Management and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 258 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Neural and Behavioral Psychology Studies (4 papers), Neural dynamics and brain function (3 papers), Memory Processes and Influences (3 papers), Visual Attention and Saliency Detection (2 papers), Electricity Theft Detection Techniques (2 papers), Memory and Neural Mechanisms (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (132 citations), Computational Mathematics (2 citations), Experimental and Cognitive Psychology (34 citations), Artificial Intelligence (62 citations) and Computer Vision and Pattern Recognition (32 citations). Qi Lin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Marvin M. Chun, Kwangsun Yoo, Monica D. Rosenberg, Wei-Ting Hsu, Thomas O’Connell, Xinmin Tao, Xiaohan Zhang, Wei Chen, Shan Huang and Yujia Zheng. Their work appears in journals such as Journal of Vision, Journal of Cognitive Neuroscience, Nature Human Behaviour, Information Sciences and Frontiers in Aging Neuroscience.
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.