Kangle Deng
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Optical measurement and interference techniques
Papers in
-
- Advanced Vision and Imaging 3
- Generative Adversarial Networks and Image Synthesis 3
- Video Analysis and Summarization 1
- Optical measurement and interference techniques 1
- Multimodal Machine Learning Applications 1
-
- Computer Graphics and Visualization Techniques 2
- Co-authors
- Jun-Yan Zhu (3 shared papers)Deva Ramanan (4 shared papers)Andrew Liu (1 shared paper)Xin Huang (1 shared paper)Yuxin Peng (1 shared paper)Gengshan Yang (2 shared papers)Aayush Bansal (1 shared paper)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Kangle Deng
5 papers receiving 491 citations
Kangle Deng's Hit Papers
Peers
Comparison fields: 5 of 45
- Computer Graphics and Computer-Aided Design 243
- Computer Vision and Pattern Recognition 425
- Geology 45
- Computational Mechanics 152
- Instrumentation 14
Countries citing papers authored by Kangle Deng
This map shows the geographic impact of Kangle Deng'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 Kangle Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kangle Deng more than expected).
Fields of papers citing papers by Kangle Deng
This network shows the impact of papers produced by Kangle Deng. 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 Kangle Deng. The network helps show where Kangle Deng may publish in the future.
Co-authors
The 7 scholars most cited alongside Kangle Deng, 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 | Depth-supervised NeRF: Fewer Views and Faster Training for Free Hit paper breakdown → | 2022 | 459 |
| 2 | 2019 | 28 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 7 | |
| 5 | 2020 | 1 |
About Kangle Deng
Kangle Deng is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Computational Mechanics and Infectious Diseases, having authored 5 papers that have together received 509 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Computer Graphics and Visualization Techniques (2 papers), Speech and Audio Processing (1 paper), 3D Shape Modeling and Analysis (1 paper), Video Analysis and Summarization (1 paper), Optical measurement and interference techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (243 citations), Computer Vision and Pattern Recognition (425 citations), Geology (45 citations), Computational Mechanics (152 citations) and Instrumentation (14 citations). Kangle Deng has collaborated with scholars based in United States and China. Frequent co-authors include Jun-Yan Zhu, Deva Ramanan, Andrew Liu, Xin Huang, Yuxin Peng, Gengshan Yang and Aayush Bansal. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.