Lai Tian
- Computational Mathematics top 10%
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- Face and Expression Recognition 7
- Advanced Image and Video Retrieval Techniques 2
- Urban Studies top 5%
- Media Technology top 5%
- Remote-Sensing Image Classification 2
- Artificial Intelligence top 5%
- Machine Learning and ELM 6
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- Sparse and Compressive Sensing Techniques 6
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- Smart Grid Security and Resilience 1
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- Magnesium Alloys: Properties and Applications 1
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- Multi-Criteria Decision Making 1
- Co-authors
- Feiping NieXuelong LiRong WangZheng WangHeng HuangChris DingGuansheng PengJun Wu
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Cybernetics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lai Tian
12 papers receiving 468 citations
Peers
Comparison fields: 5 of 50
- Computational Mathematics 12
- Computer Vision and Pattern Recognition 346
- Urban Studies 59
- Media Technology 86
- Artificial Intelligence 249
Countries citing papers authored by Lai Tian
This map shows the geographic impact of Lai Tian'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 Lai Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai Tian more than expected).
Fields of papers citing papers by Lai Tian
This network shows the impact of papers produced by Lai Tian. 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 Lai Tian. The network helps show where Lai Tian may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Lai Tian, 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 | 2024 | 0 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 46 | |
| 7 | 2020 | 58 | |
| 8 | 2020 | 62 | |
| 9 | 2020 | 1 | |
| 10 | A Unified Weight Learning Paradigm for Multi-view Learning | 2019 | 9 |
| 11 | 2019 | 46 | |
| 12 | A Comprehensive Survey for Low Rank Regularization | 2018 | 9 |
| 13 | 2018 | 194 | |
| 14 | 2017 | 1 |
About Lai Tian
Lai Tian is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology, having authored 14 papers that have together received 469 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Machine Learning and ELM (6 papers), Advanced Image and Video Retrieval Techniques (2 papers), Remote-Sensing Image Classification (2 papers), Smart Grid Security and Resilience (1 paper), Magnesium Alloys: Properties and Applications (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in Computational Mathematics (12 citations), Computer Vision and Pattern Recognition (346 citations) and Urban Studies (59 citations). Lai Tian has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Feiping Nie, Xuelong Li, Rong Wang, Xuelong Li, Zheng Wang, Heng Huang, Chris Ding, Guansheng Peng, Jun Wu and Zhanxuan Hu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.
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.