Peng Ye

5.4k citations
327 papers · 3.9k indexed · 1 hit paper · h-index 31

Peng Ye

279 papers receiving 3.8k citations

Hit Papers

Unsupervised feature learning framework for no-reference ...6022012202620162021200400600

Peers

Peng Ye
Comparison fields: 5 of 166
  • Media Technology 831
  • Computer Vision and Pattern Recognition 1.3k
  • Acoustics and Ultrasonics 36
  • Fluid Flow and Transfer Processes 166
  • Biomedical Engineering 910
Replace Feng Gao with:
Feng Gao China
Yi Jin China
Zhili Chen China
Kaixin Wang China
Venkat Padmanabhan India
Yue Li China
Ting Wang China
Yao Hu China
Li-Ming Ruan China
Peng Ye relative to Feng Gao China Feng Gao's profile →
Citations per field
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Feng Gao · 1×
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-authorship network

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
#Work
1 20252
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3 20242
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5 20240
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7 202411
8 20244
9 20240
10 20235
11 20231
12 20235
13 20235
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15 202140
16 20211
17 20216
18 20192
19 20193
20 20158

About Peng Ye

Peng Ye is a scholar working on Energy Engineering and Power Technology, Electrical and Electronic Engineering, Signal Processing, Biomedical Engineering and Media Technology, having authored 327 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advancements in PLL and VCO Technologies (45 papers), Analog and Mixed-Signal Circuit Design (45 papers), Electrohydrodynamics and Fluid Dynamics (29 papers), Blind Source Separation Techniques (17 papers), Fuel Cells and Related Materials (15 papers), Advanced Electrical Measurement Techniques (14 papers), Electrocatalysts for Energy Conversion (13 papers) and Cyclone Separators and Fluid Dynamics (11 papers). The work is most often cited by research in Media Technology (831 citations), Computer Vision and Pattern Recognition (1.3k citations), Acoustics and Ultrasonics (36 citations), Fluid Flow and Transfer Processes (166 citations) and Biomedical Engineering (910 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, André L. Boehman, Yi Li, Yu Bao, Jayant Kumar, Yi Zhang and Xian‐Ming Zhang. 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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