Lan Bai
Impact in
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- Face and Expression Recognition
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Machine Learning and ELM
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
Papers in
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- Face and Expression Recognition 17
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- Text and Document Classification Technologies 4
- Machine Learning and ELM 3
- Co-authors
- Yuan‐Hai Shao (17 shared papers)Zhen Wang (14 shared papers)Nai-Yang Deng (7 shared papers)Chun‐Na Li (7 shared papers)Liming Liu (3 shared papers)Shi Yin (2 shared papers)Zhen Wang (1 shared paper)Shanshan Wang (2 shared papers)
- Journals
- Information Sciences (2 papers)Knowledge-Based Systems (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Pattern Recognition (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaNew Zealand
In The Last Decade
Lan Bai
26 papers receiving 385 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 267
- Artificial Intelligence 261
- Media Technology 52
- Urban Studies 16
- Signal Processing 28
Countries citing papers authored by Lan Bai
This map shows the geographic impact of Lan Bai'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 Lan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Bai more than expected).
Fields of papers citing papers by Lan Bai
This network shows the impact of papers produced by Lan Bai. 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 Lan Bai. The network helps show where Lan Bai may publish in the future.
Co-authors
The 21 scholars most cited alongside Lan Bai, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 89 | |
| 2 | 2018 | 39 | |
| 3 | 2016 | 34 | |
| 4 | 2014 | 33 | |
| 5 | 2018 | 28 | |
| 6 | 2013 | 28 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2016 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2013 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 6 | |
| 17 | Application of the information fusion method in mine air supplying system based on fuzzy neural network | 2006 | 2 |
| 18 | 2018 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 2 |
About Lan Bai
Lan Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Computational Mechanics, having authored 29 papers that have together received 395 indexed citations. Recurring topics across this work include Face and Expression Recognition (17 papers), Text and Document Classification Technologies (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced Algorithms and Applications (3 papers), Machine Learning and ELM (3 papers), Blind Source Separation Techniques (3 papers), Advanced Statistical Methods and Models (2 papers) and Supply Chain Resilience and Risk Management (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (267 citations), Artificial Intelligence (261 citations), Media Technology (52 citations), Urban Studies (16 citations) and Signal Processing (28 citations). Lan Bai has collaborated with scholars based in China and New Zealand. Frequent co-authors include Yuan‐Hai Shao, Zhen Wang, Nai-Yang Deng, Chun‐Na Li, Liming Liu, Shi Yin, Zhen Wang, Shanshan Wang, Wei-Jie Chen and Hui Cao. Their work appears in journals such as Information Sciences, Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition and Neurocomputing.
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.