Min Fu

4.0k citations
126 papers · 3.0k · 1 hit paper · h-index 22

Impact in

    • Image Processing Techniques and Applications
    • Advanced Image Fusion Techniques
    • Advanced Image Processing Techniques
    • Advanced Vision and Imaging
    • Image and Signal Denoising Methods
    • Video Surveillance and Tracking Methods

Papers in

Min Fu

117 papers receiving 3.0k citations

Min Fu's Hit Papers

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results 2017 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Min Fu
Comparison fields: 5 of 167
  • Media Technology 619
  • Computer Vision and Pattern Recognition 1.3k
  • Biological Psychiatry 58
  • Sensory Systems 99
  • Neurology 147
Replace Zoltán Benyó with:
Zoltán Benyó Hungary
Qiong Wang China
Eduardo Ros Spain
Kazuyuki Murase Japan
Xiaofei He China
Yi Xu China
Hantao Liu United Kingdom
Min Fu China
Qiong Cao China
Yuanyuan Li China
Min Fu relative to Zoltán Benyó Hungary Zoltán Benyó's profile →
Citations per field
00.5×2×3.1×
Zoltán Benyó · 1×
Citations per year

Countries citing papers authored by Min Fu

Since Specialization
Citations

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

Fields of papers citing papers by Min Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min 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 Min Fu Line = papers co-authored together Min Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Hit paper breakdown →
20171084
2 2015202
3 2013167
4 2016140
5 2007102
6 201990
7 202080
8 201866
9 201365
10 201058
11 201851
12 201751
13 201750
14 200949
15 201446
16 201638
17 201237
18 201735
19 202034
20 201530

About Min Fu

Min Fu is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Instrumentation, Physiology and Computer Networks and Communications, having authored 126 papers that have together received 3.0k indexed citations. Recurring topics across this work include Software System Performance and Reliability (13 papers), Cloud Computing and Resource Management (10 papers), Advanced Optical Sensing Technologies (7 papers), Alzheimer's disease research and treatments (7 papers), Autophagy in Disease and Therapy (6 papers), Image and Signal Denoising Methods (6 papers), Particle Detector Development and Performance (6 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Media Technology (619 citations), Computer Vision and Pattern Recognition (1.3k citations), Biological Psychiatry (58 citations), Sensory Systems (99 citations) and Neurology (147 citations). Min Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yehong Du, Zhifang Dong, Pei Xu, Xudong Li, Roger W. Chan, Huancong Zuo, Mao Ye, Ce Zhu, Qihe Liu and Neeraj Tirunagari. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Alzheimer s Disease, Alzheimer s & Dementia, Biochemical and Biophysical Research Communications and IEEE Access.

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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