Lele Chen
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Artificial Intelligence
- Topics
- Advanced Vision and Imaging (10 papers)Face recognition and analysis (8 papers)3D Shape Modeling and Analysis (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Journals
- IEEE Transactions on Image ProcessingExpert Systems with ApplicationsACM Transactions on Graphics
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Lele Chen
30 papers receiving 715 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 574
- Signal Processing 234
- Computer Graphics and Computer-Aided Design 117
- Computational Mechanics 112
- Artificial Intelligence 67
Countries citing papers authored by Lele Chen
This map shows the geographic impact of Lele Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lele Chen more than expected).
Fields of papers citing papers by Lele Chen
This network shows the impact of papers produced by Lele Chen. 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 Chen. The network helps show where Lele Chen may publish in the future.
Co-authorship network of co-authors of Lele Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Lele Chen. A scholar is included among the top collaborators of Lele Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lele Chen. Lele Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | What comprises a good talking-head video generation? | 3 |
| 15 | 6 | |
| 16 | Sound to Visual: Hierarchical Cross-Modal Talking Face Generation | 4 |
| 17 | Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Lossbreakdown → | 268 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About Lele Chen
Lele Chen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 31 papers that have together received 745 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Face recognition and analysis (8 papers) and 3D Shape Modeling and Analysis (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (117 citations), Computer Vision and Pattern Recognition (574 citations) and Signal Processing (234 citations). Lele Chen has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Chenliang Xu, Zhiyao Duan, Ross K. Maddox, Zhong Li, Junsong Yuan, Liangchen Song, Zhang Chen, Yi Xu, Anpei Chen and Andreas Geiger. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and ACM Transactions on Graphics.
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.