San Francisco Bay University

13.1k citations
621 papers ·

Impact in

    • Generative Adversarial Networks and Image Synthesis
    • Advanced Neural Network Applications
    • Visual Attention and Saliency Detection
    • Image and Video Quality Assessment
    • Video Surveillance and Tracking Methods
    • Image Enhancement Techniques
    • Domain Adaptation and Few-Shot Learning

Papers in

San Francisco Bay University

506 papers receiving 13.1k citations

Peers

San Francisco Bay University
Comparison fields: 5 of 188
  • Computer Vision and Pattern Recognition 4.8k
  • Artificial Intelligence 1.6k
  • Ceramics and Composites 189
  • Media Technology 274
  • Signal Processing 253
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San Francisco Bay University relative to Toyota Research Institute Toyota Research Institute's profile →
Citations per field
00.5×5×10×13.5×
Toyota Research Institute · 1×
Citations per year

Countries citing scholars working at San Francisco Bay University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at San Francisco Bay University. 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 papers produced at San Francisco Bay University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San Francisco Bay University more than expected).

Fields of papers published by authors at San Francisco Bay University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with San Francisco Bay University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with San Francisco Bay University at the time of their publication.

About San Francisco Bay University

In recent decades, authors affiliated with San Francisco Bay University have published 621 papers, which have received a total of 13.1k indexed citations . Scholars at this organization have produced 79 papers in Aerospace Engineering, 57 papers in Computer Vision and Pattern Recognition, 69 papers in Artificial Intelligence, 65 papers in Mechanical Engineering and 43 papers in Control and Systems Engineering on the topics of Advanced Neural Network Applications (14 papers), Computational Fluid Dynamics and Aerodynamics (14 papers), Turbomachinery Performance and Optimization (13 papers), Speech Recognition and Synthesis (11 papers), Aerospace Engineering and Applications (9 papers), Advanced ceramic materials synthesis (9 papers), Advanced Wireless Communication Techniques (9 papers) and Perovskite Materials and Applications (7 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (4.8k citations), Artificial Intelligence (1.6k citations), Ceramics and Composites (189 citations), Media Technology (274 citations) and Signal Processing (253 citations). Authors at San Francisco Bay University collaborate with scholars in United States, China and Bangladesh and have published in prestigious journals including Modern Applied Science, Wireless Personal Communications, ACS Applied Materials & Interfaces, International Journal of Human-Computer Interaction and ACS Omega. Some of San Francisco Bay University's most productive authors include Zhen Wang, Haoran Xie, Raymond Y.K. Lau, Qing Li, Xudong Mao, Junwei Han, Nian Liu, Ming–Hsuan Yang, Qi Wang and Junyu Gao.

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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