Lele Cao
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Artificial Intelligence in Games
Papers in
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- Machine Learning and ELM 4
- Domain Adaptation and Few-Shot Learning 3
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- Advanced Neural Network Applications 4
- Face and Expression Recognition 3
- Co-authors
- Fuchun Sun (16 shared papers)Wenbing Huang (13 shared papers)Yikai Wang (2 shared papers)Xinghao Chen (1 shared paper)Yunhe Wang (1 shared paper)Hongbo Li (3 shared papers)Kotagiri Ramamohanarao (4 shared papers)Xiaolong Liu (2 shared papers)
In The Last Decade
Lele Cao
31 papers receiving 457 citations
Lele Cao's Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 181
- Artificial Intelligence 139
- Geology 24
- Computational Mathematics 2
- Cognitive Neuroscience 55
Countries citing papers authored by Lele Cao
This map shows the geographic impact of Lele Cao'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 Lele Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lele Cao more than expected).
Fields of papers citing papers by Lele Cao
This network shows the impact of papers produced by Lele Cao. 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 Lele Cao. The network helps show where Lele Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lele Cao, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multimodal Token Fusion for Vision Transformers Hit paper breakdown → | 2022 | 145 |
| 2 | 2015 | 54 | |
| 3 | 2018 | 52 | |
| 4 | 2022 | 42 | |
| 5 | 2016 | 24 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2018 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2014 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 7 | |
| 15 | Learning stable linear dynamical systems with the weighted least square method | 2016 | 7 |
| 16 | 2023 | 5 | |
| 17 | 2023 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2019 | 3 |
About Lele Cao
Lele Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Molecular Biology and Ocean Engineering, having authored 32 papers that have together received 463 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Machine Learning and ELM (4 papers), Face and Expression Recognition (3 papers), Advanced Memory and Neural Computing (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Tactile and Sensory Interactions (3 papers), Control Systems and Identification (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Artificial Intelligence (139 citations), Geology (24 citations), Computational Mathematics (2 citations) and Cognitive Neuroscience (55 citations). Lele Cao has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include Fuchun Sun, Wenbing Huang, Yikai Wang, Xinghao Chen, Yunhe Wang, Hongbo Li, Kotagiri Ramamohanarao, Xiaolong Liu, Sami Purmonen and Fengxiang He. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, IEEE Transactions on Systems Man and Cybernetics Systems, Neurocomputing, Cognitive Computation and Journal of Construction Engineering and Management.
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.