Peng Ouyang

1.8k citations
73 papers · 1.4k · h-index 19

Impact in

Papers in

Peng Ouyang

69 papers receiving 1.3k citations

Peers

Peng Ouyang
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 630
  • Hardware and Architecture 179
  • Computational Mathematics 11
  • Electrical and Electronic Engineering 759
  • Artificial Intelligence 408
Replace Jincheng Yu with:
Jincheng Yu China
Boxun Li China
Hiroki Nakahara Japan
Sanghoon Kang South Korea
Jinmook Lee South Korea
Xingyu Liu China
Caiwen Ding United States
Yijin Guan China
Fengbin Tu China
Sek Chai United States
Peng Ouyang relative to Jincheng Yu China Jincheng Yu's profile →
Citations per field
00.5×1.5×
Jincheng Yu · 1×
Citations per year

Countries citing papers authored by Peng Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017247
2 2017166
3 201972
4 201770
5 201867
6 201763
7 201862
8 201846
9 201843
10 201940
11 201536
12 201731
13 201930
14 201823
15 201522
16 201922
17 202520
18 201920
19 201719
20 201817

About Peng Ouyang

Peng Ouyang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture and Aerospace Engineering, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Advanced Neural Network Applications (15 papers), Advanced Image and Video Retrieval Techniques (12 papers), CCD and CMOS Imaging Sensors (11 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Video Surveillance and Tracking Methods (8 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (630 citations), Hardware and Architecture (179 citations), Computational Mathematics (11 citations), Electrical and Electronic Engineering (759 citations) and Artificial Intelligence (408 citations). Peng Ouyang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shouyi Yin, Shaojun Wei, Leibo Liu, Fengbin Tu, Shibin Tang, Xiudong Li, Shixuan Zheng, Tianyi Lu, Dandan Song and Youguang Zhang. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, Sensors, IEEE Journal of Solid-State Circuits and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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