Zhichao Lian
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- Video Surveillance and Tracking Methods 11
- Face recognition and analysis 7
- Face and Expression Recognition 7
- Medical Image Segmentation Techniques 6
- Advanced Neural Network Applications 6
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- Functional Brain Connectivity Studies 10
- Neural dynamics and brain function 9
- Media Technology top 10%
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- Adversarial Robustness in Machine Learning 9
- Co-authors
- Jie SongLiang XiaoHong MaS.H. TeohKe HanRobert E. FontaineYing SuChee‐Kong Chui
- Journals
- IEEE Access (3 papers)IEEE Transactions on Image Processing (2 papers)Image and Vision Computing (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhichao Lian
59 papers receiving 449 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 166
- Computational Mathematics 4
- Cognitive Neuroscience 94
- Media Technology 37
- Radiology, Nuclear Medicine and Imaging 90
Countries citing papers authored by Zhichao Lian
This map shows the geographic impact of Zhichao Lian'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 Zhichao Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhichao Lian more than expected).
Fields of papers citing papers by Zhichao Lian
This network shows the impact of papers produced by Zhichao Lian. 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 Zhichao Lian. The network helps show where Zhichao Lian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhichao Lian, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 0 | |
| 17 | 2022 | 0 | |
| 18 | 2021 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2011 | 84 |
About Zhichao Lian
Zhichao Lian is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Artificial Intelligence, having authored 74 papers that have together received 458 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Functional Brain Connectivity Studies (10 papers), Adversarial Robustness in Machine Learning (9 papers), Neural dynamics and brain function (9 papers), Face recognition and analysis (7 papers), Face and Expression Recognition (7 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Computational Mathematics (4 citations) and Cognitive Neuroscience (94 citations). Zhichao Lian has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jie Song, Liang Xiao, Hong Ma, S.H. Teoh, Ke Han, Robert E. Fontaine, Ying Su, Chee‐Kong Chui, Bao‐Ping Zhu and Zheng Feng. Their work appears in journals such as IEEE Access, IEEE Transactions on Image Processing, Image and Vision Computing, BMC Genomics and Human Brain Mapping.
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.