Howard Zhou

1.6k citations
13 papers · 760 · 1 hit paper · h-index 7

Impact in

Papers in

Howard Zhou

12 papers receiving 739 citations

Howard Zhou's Hit Papers

IBRNet: Learning Multi-View Image-Based Rendering 2021 · 393 citations
3930+1+3Years since publication100200300

Peers

Howard Zhou
Comparison fields: 5 of 78
  • Computer Graphics and Computer-Aided Design 365
  • Computer Vision and Pattern Recognition 537
  • Computational Mechanics 229
  • Geology 30
  • Environmental Engineering 55
Replace David Stutz with:
David Stutz Germany
Annick Montanvert France
Alexander Bornik Austria
R. Wegenkittl Austria
Philippe Lacroute United States
Satoshi Tanaka Japan
Weiliang Meng China
Samuel P. Uselton United States
Philippe-Henri Gosselin France
Alexander Wiebel Germany
Howard Zhou relative to David Stutz Germany David Stutz's profile →
Citations per field
00.5×
David Stutz · 1×
Citations per year

Countries citing papers authored by Howard Zhou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Howard Zhou Line = papers co-authored together Howard Zhou links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
IBRNet: Learning Multi-View Image-Based Rendering
Hit paper breakdown →
2021393
2 2007157
3 201080
4 200847
5 200837
6 200918
7 201011
8 20236
9 20245
10 20243
11 20102
12
[Computer image analysis of 20 tiny medicinal seeds].
19971
13 20250

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 13 papers that have together received 760 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), AI in cancer detection (4 papers), Advanced Vision and Imaging (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Remote Sensing and LiDAR Applications (2 papers), Advanced Image Processing Techniques (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (365 citations), Computer Vision and Pattern Recognition (537 citations), Computational Mechanics (229 citations), Geology (30 citations) and Environmental Engineering (55 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, Pratul P. Srinivasan, Jonathan T. Barron, Zhicheng Wang, Thomas Funkhouser, Qianqian Wang, Ricardo Martin-Brualla and Jie Sun. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Food Quality, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and PubMed.

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.

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