Lishan Qiao
-
- Face and Expression Recognition 12
- Media Technology top 1%
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 42
- EEG and Brain-Computer Interfaces 22
- Neural dynamics and brain function 19
- Computational Mathematics top 10%
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 7
-
- Advanced MRI Techniques and Applications 10
- Advanced Neuroimaging Techniques and Applications 6
-
- Mental Health Research Topics 5
- Co-authors
- Songcan ChenXiaoyang TanDinggang ShenLimei ZhangWeikai LiMingxia LiuZhengxia WangHan Zhang
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lishan Qiao
69 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 872
- Media Technology 324
- Cognitive Neuroscience 660
- Computational Mathematics 12
- Computational Mechanics 326
Countries citing papers authored by Lishan Qiao
This map shows the geographic impact of Lishan Qiao'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 Lishan Qiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lishan Qiao more than expected).
Fields of papers citing papers by Lishan Qiao
This network shows the impact of papers produced by Lishan Qiao. 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 Lishan Qiao. The network helps show where Lishan Qiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lishan Qiao, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 27 | |
| 16 | 2020 | 13 | |
| 17 | 2018 | 43 | |
| 18 | 2018 | 18 | |
| 19 | 2016 | 21 | |
| 20 | Self-Dependent Locality Preserving Projection with Transformed Space-Oriented Neighborhood Graph | 2010 | 0 |
About Lishan Qiao
Lishan Qiao is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (42 papers), EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (19 papers), Face and Expression Recognition (12 papers), Advanced MRI Techniques and Applications (10 papers), Sparse and Compressive Sensing Techniques (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (872 citations), Media Technology (324 citations) and Cognitive Neuroscience (660 citations). Lishan Qiao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Songcan Chen, Xiaoyang Tan, Dinggang Shen, Limei Zhang, Limei Zhang, Weikai Li, Mingxia Liu, Zhengxia Wang, Han Zhang and Minjeong Kim. Their work appears in journals such as PLoS ONE, NeuroImage and Brain Research.
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.