Peng Ouyang

1.9k citations
77 papers · 1.4k indexed · h-index 19

Impact in

Papers in

Peng Ouyang

72 papers receiving 1.3k citations

Peers

Peng Ouyang
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 625
  • Hardware and Architecture 175
  • Computational Mathematics 10
  • Electrical and Electronic Engineering 751
  • Artificial Intelligence 404
Replace Jiantao Qiu with:
Jiantao Qiu China
Boxun Li China
Sanghoon Kang South Korea
Jinmook Lee South Korea
Yijin Guan China
Fengbin Tu China
Sek Chai United States
Hiroki Nakahara Japan
John Glossner United States
Bingjun Xiao United States
Peng Ouyang relative to Jiantao Qiu China Jiantao Qiu's profile →
Citations per field
00.5×1.5×
Jiantao Qiu · 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-authorship network

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
#Work
1 202516
2 20250
3 20250
4 20209
5 201928
6 201940
7 201970
8 201813
9 201846
10 20188
11 201816
12 201866
13 20189
14 201842
15 20182
16 20174
17 2017166
18 20152
19 201411
20
Scale Invariant Feature Transform algorithm based on a reconfigurable architecture system
20120

About Peng Ouyang

Peng Ouyang is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Electrical and Electronic Engineering, Media Technology and Signal Processing, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (25 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 (10 papers), Video Surveillance and Tracking Methods (8 papers), Speech Recognition and Synthesis (6 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (625 citations), Hardware and Architecture (175 citations), Computational Mathematics (10 citations), Electrical and Electronic Engineering (751 citations) and Artificial Intelligence (404 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Journal of Solid-State Circuits.

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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