Howard Zhou
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Video Analysis and Summarization
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Advanced Vision and Imaging 4
- Advanced Image and Video Retrieval Techniques 3
- Multimodal Machine Learning Applications 2
- Advanced Image Processing Techniques 2
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- AI in cancer detection 4
- Co-authors
- James M. Rehg (6 shared papers)Kyle Genova (1 shared paper)Noah Snavely (1 shared paper)Jonathan T. Barron (1 shared paper)Qianqian Wang (1 shared paper)Pratul P. Srinivasan (1 shared paper)Thomas Funkhouser (1 shared paper)Zhicheng Wang (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)PubMed (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Howard Zhou
12 papers receiving 765 citations
Howard Zhou's Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Graphics and Computer-Aided Design 370
- Computer Vision and Pattern Recognition 552
- Computational Mechanics 232
- Geology 33
- Oncology 95
Countries citing papers authored by Howard Zhou
This map shows the geographic impact of Howard Zhou'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 Howard Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Zhou more than expected).
Fields of papers citing papers by Howard Zhou
This network shows the impact of papers produced by Howard Zhou. 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 Howard Zhou. The network helps show where Howard Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Howard Zhou, 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 | IBRNet: Learning Multi-View Image-Based Rendering Hit paper breakdown → | 2021 | 416 |
| 2 | 2007 | 157 | |
| 3 | 2010 | 79 | |
| 4 | 2008 | 47 | |
| 5 | 2008 | 37 | |
| 6 | 2009 | 19 | |
| 7 | 2010 | 11 | |
| 8 | 2023 | 8 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2010 | 2 | |
| 12 | [Computer image analysis of 20 tiny medicinal seeds]. | 1997 | 1 |
About Howard Zhou
Howard Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Environmental Engineering and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 785 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Cutaneous Melanoma Detection and Management (4 papers), AI in cancer detection (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Remote Sensing and LiDAR Applications (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (370 citations), Computer Vision and Pattern Recognition (552 citations), Computational Mechanics (232 citations), Geology (33 citations) and Oncology (95 citations). Howard Zhou has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include James M. Rehg, Kyle Genova, Noah Snavely, Jonathan T. Barron, Qianqian Wang, Pratul P. Srinivasan, Thomas Funkhouser, Zhicheng Wang, Ricardo Martin-Brualla and Greg Turk. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, PubMed and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.