Cheng-Yang Fu

2.2k citations
10 papers · 135 · h-index 6

Impact in

Papers in

Cheng-Yang Fu

10 papers receiving 133 citations

Peers

Cheng-Yang Fu
Comparison fields: 5 of 37
  • Hardware and Architecture 67
  • Computer Vision and Pattern Recognition 51
  • Computer Networks and Communications 50
  • Signal Processing 11
  • Health Informatics 1
Replace Jeff Setter with:
Jeff Setter United States
Rentong Guo China
Patrick Carribault France
Gaël Thomas France
Jaewon Lee South Korea
Markku–Juhani O. Saarinen United Kingdom
Marcin Rogawski United States
Kai Schramm Germany
Hamza Ouarnoughi France
Tzong-Jye Liu Taiwan
Cheng-Yang Fu relative to Jeff Setter United States Jeff Setter's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cheng-Yang Fu

Since Specialization
Citations

This map shows the geographic impact of Cheng-Yang Fu'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 Cheng-Yang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Yang Fu more than expected).

Fields of papers citing papers by Cheng-Yang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Yang Fu. 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 Cheng-Yang Fu. The network helps show where Cheng-Yang Fu may publish in the future.

Co-authors

The 22 scholars most cited alongside Cheng-Yang Fu, 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 Cheng-Yang Fu Line = papers co-authored together Cheng-Yang Fu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201648
2 201721
3 202316
4 200915
5 202313
6 20199
7 20114
8 20134
9 20234
10 20121

About Cheng-Yang Fu

Cheng-Yang Fu is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 10 papers that have together received 135 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Embedded Systems Design Techniques (3 papers), Advanced Neural Network Applications (3 papers), Interconnection Networks and Systems (2 papers), Video Analysis and Summarization (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Hardware and Architecture (67 citations), Computer Vision and Pattern Recognition (51 citations), Computer Networks and Communications (50 citations), Signal Processing (11 citations) and Health Informatics (1 citation). Cheng-Yang Fu has collaborated with scholars based in Taiwan, United States and Saudi Arabia. Frequent co-authors include Alexander Berg, Bryan C. Ward, F. Donelson Smith, James H. Anderson, Ren‐Song Tsay, Joon Lee, Mohit Bansal, Tamara L. Berg, Candace Ross and Quentin Duval. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, ACM Transactions on Design Automation of Electronic Systems and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).

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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