Gui‐Fu Lu
Impact in
- Computational Mathematics top 5%
-
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Face recognition and analysis
Papers in
-
- Face and Expression Recognition 26
- Image and Signal Denoising Methods 3
- Advanced Image and Video Retrieval Techniques 3
-
- Sparse and Compressive Sensing Techniques 15
- Co-authors
- Yong Wang (16 shared papers)Jian Zou (9 shared papers)Zhongqun Wang (3 shared papers)Jian Yang (2 shared papers)Lei Luo (2 shared papers)Ying Tai (1 shared paper)Jianjun Qian (1 shared paper)Haibo Li (1 shared paper)
- Journals
- Information Sciences (4 papers)Pattern Recognition (4 papers)Neural Networks (4 papers)Applied Intelligence (3 papers)Expert Systems with Applications (3 papers)
- Partner nations
- China
In The Last Decade
Gui‐Fu Lu
35 papers receiving 387 citations
Peers
Comparison fields: 5 of 61
- Computational Mathematics 26
- Computer Vision and Pattern Recognition 307
- Media Technology 71
- Computational Mechanics 109
- Urban Studies 24
Countries citing papers authored by Gui‐Fu Lu
This map shows the geographic impact of Gui‐Fu Lu'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 Gui‐Fu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui‐Fu Lu more than expected).
Fields of papers citing papers by Gui‐Fu Lu
This network shows the impact of papers produced by Gui‐Fu Lu. 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 Gui‐Fu Lu. The network helps show where Gui‐Fu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Gui‐Fu Lu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 62 | |
| 2 | 2016 | 48 | |
| 3 | 2017 | 26 | |
| 4 | 2020 | 25 | |
| 5 | 2022 | 22 | |
| 6 | 2016 | 22 | |
| 7 | 2022 | 20 | |
| 8 | 2016 | 20 | |
| 9 | 2016 | 15 | |
| 10 | 2019 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2016 | 9 | |
| 14 | 2015 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2023 | 5 |
About Gui‐Fu Lu
Gui‐Fu Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computational Mathematics, Artificial Intelligence and Media Technology, having authored 37 papers that have together received 392 indexed citations. Recurring topics across this work include Face and Expression Recognition (26 papers), Sparse and Compressive Sensing Techniques (15 papers), Tensor decomposition and applications (11 papers), Remote-Sensing Image Classification (8 papers), Domain Adaptation and Few-Shot Learning (3 papers), Image and Signal Denoising Methods (3 papers), Neural Networks and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computational Mathematics (26 citations), Computer Vision and Pattern Recognition (307 citations), Media Technology (71 citations), Computational Mechanics (109 citations) and Urban Studies (24 citations). Gui‐Fu Lu has collaborated with scholars based in China. Frequent co-authors include Yong Wang, Jian Zou, Zhongqun Wang, Jian Yang, Lei Luo, Ying Tai, Jianjun Qian, Haibo Li, Shuo Chen and Jiachuan Yan. Their work appears in journals such as Information Sciences, Pattern Recognition, Neural Networks, Applied Intelligence and Expert Systems with Applications.
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.