Peiren Wang

604 citations
37 papers · 423 · h-index 12

Impact in

Papers in

Peiren Wang

34 papers receiving 382 citations

Peers

Peiren Wang
Comparison fields: 5 of 63
  • Media Technology 178
  • Human-Computer Interaction 84
  • Automotive Engineering 123
  • Computer Vision and Pattern Recognition 92
  • Industrial and Manufacturing Engineering 25
Replace Han He with:
Han He Finland
Ryan Bahr United States
Didier Cottet Switzerland
I. Locher Switzerland
Igor Goncharenko Belarus
Francisco Pizarro Chile
Wei-chen Lee Taiwan
Torsten Linz Germany
J.B. Lee United States
Xinyue Tang China
Peiren Wang relative to Han He Finland Han He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peiren Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peiren Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201956
2 202142
3 201934
4 202227
5 202324
6 201924
7 202223
8 201921
9 202317
10 202315
11 202314
12 202113
13 202011
14 202410
15 20219
16 20229
17 20238
18 20218
19 20237
20 20207

About Peiren Wang

Peiren Wang is a scholar working on Automotive Engineering, Media Technology, Electrical and Electronic Engineering, Biomedical Engineering and Human-Computer Interaction, having authored 37 papers that have together received 423 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (12 papers), Additive Manufacturing and 3D Printing Technologies (12 papers), Virtual Reality Applications and Impacts (8 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Advanced Materials and Mechanics (4 papers), Nanomaterials and Printing Technologies (4 papers), Image and Video Stabilization (4 papers) and Interactive and Immersive Displays (3 papers). The work is most often cited by research in Media Technology (178 citations), Human-Computer Interaction (84 citations), Automotive Engineering (123 citations), Computer Vision and Pattern Recognition (92 citations) and Industrial and Manufacturing Engineering (25 citations). Peiren Wang has collaborated with scholars based in China, United Kingdom and Bangladesh. Frequent co-authors include Guoqi Wang, Xunbo Yu, Xinzhu Sang, Chao Gao, Boyang Liu, Li Liu, Binbin Yan, Li Liu, Xin Gao and Junhui Yang. Their work appears in journals such as Optics Express, Optics Communications, ACS Applied Materials & Interfaces, Advanced Materials Technologies and Additive manufacturing.

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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