Pengjun Wang

4.3k citations
263 papers · 3.4k · 1 hit paper · h-index 30

Impact in

Papers in

Pengjun Wang

233 papers receiving 3.3k citations

Pengjun Wang's Hit Papers

A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancement 2022 · 197 citations
1970+1+2Years since publication50100150

Peers

Pengjun Wang
Comparison fields: 5 of 114
  • Hardware and Architecture 265
  • Artificial Intelligence 981
  • Electrical and Electronic Engineering 1k
  • Renewable Energy, Sustainability and the Environment 284
  • Computer Vision and Pattern Recognition 299
Replace Yiqi Wang with:
Yiqi Wang China
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Peng “Patrick” Sun China
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Citations per field
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Citations per year

Countries citing papers authored by Pengjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pengjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancement
Hit paper breakdown →
2022197
2 2020165
3 2019145
4 2016117
5 2013109
6 2019104
7 2019101
8 2019101
9 202183
10 202273
11 202172
12 202064
13 202161
14 201852
15 202151
16 201847
17 201846
18 202142
19 202340
20 202039

About Pengjun Wang

Pengjun Wang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Computational Theory and Mathematics, having authored 263 papers that have together received 3.4k indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (54 papers), Low-power high-performance VLSI design (50 papers), Photonic and Optical Devices (42 papers), Metaheuristic Optimization Algorithms Research (29 papers), VLSI and FPGA Design Techniques (27 papers), Analog and Mixed-Signal Circuit Design (17 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Hardware and Architecture (265 citations), Artificial Intelligence (981 citations), Electrical and Electronic Engineering (1k citations), Renewable Energy, Sustainability and the Environment (284 citations) and Computer Vision and Pattern Recognition (299 citations). Pengjun Wang has collaborated with scholars based in China, Iran and United States. Frequent co-authors include Huiling Chen, Ali Asghar Heidari, Xuehua Zhao, Jianyi Yang, Yuejun Zhang, Weiwei Chen, Mingjing Wang, Tingge Dai, Chengye Li and Yi Fan. Their work appears in journals such as Journal of Semiconductors, Optics Express, Optics Communications, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Sensors Journal.

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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