Peng Ye

5.9k citations
349 papers · 4.5k · 1 hit paper · h-index 34

Impact in

Papers in

Peng Ye

303 papers receiving 4.4k citations

Peng Ye's Hit Papers

Unsupervised feature learning framework for no-reference image quality assessment 2012 · 661 citations
6610+4+9Years since publication200400600

Peers

Peng Ye
Comparison fields: 5 of 167
  • Media Technology 930
  • Computer Vision and Pattern Recognition 1.5k
  • Acoustics and Ultrasonics 36
  • Fluid Flow and Transfer Processes 173
  • Biomedical Engineering 970
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Songtao Liu China
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Zhili Chen China
Venkat N. Padmanabhan India
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Peng Ye relative to Songtao Liu China Songtao Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 349 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unsupervised feature learning framework for no-reference image quality assessment
Hit paper breakdown →
2012661
2 2012220
3 2014134
4 2015132
5 202182
6 201380
7 202280
8 200776
9 201073
10 202373
11 201269
12 202266
13 201966
14 202063
15 202363
16 201462
17 201959
18 201356
19 201054
20 200754

About Peng Ye

Peng Ye is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 349 papers that have together received 4.5k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (47 papers), Advancements in PLL and VCO Technologies (47 papers), Electrohydrodynamics and Fluid Dynamics (30 papers), Blind Source Separation Techniques (17 papers), Advanced Electrical Measurement Techniques (15 papers), Fuel Cells and Related Materials (14 papers), Sensor Technology and Measurement Systems (12 papers) and Cyclone Separators and Fluid Dynamics (12 papers). The work is most often cited by research in Media Technology (930 citations), Computer Vision and Pattern Recognition (1.5k citations), Acoustics and Ultrasonics (36 citations), Fluid Flow and Transfer Processes (173 citations) and Biomedical Engineering (970 citations). Peng Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Le Kang, David Doermann, Jayendra Kumar, Haifeng Gong, Yi Li, André Louis Boehman, Jayant Kumar, Yu Bao, Jiayuan Fan and Kuojun Yang. Their work appears in journals such as Review of Scientific Instruments, Process Safety and Environmental Protection, Separation and Purification Technology, Journal of Power Sources and IEEE Transactions on Instrumentation and Measurement.

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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