Wei-Chen Li

541 citations
13 papers · 426 · h-index 8

Impact in

Papers in

Wei-Chen Li

12 papers receiving 404 citations

Peers

Wei-Chen Li
Comparison fields: 5 of 48
  • Industrial and Manufacturing Engineering 252
  • Media Technology 67
  • Renewable Energy, Sustainability and the Environment 123
  • Computer Vision and Pattern Recognition 134
  • Bioengineering 35
Replace G. Újvári with:
G. Újvári Austria
Piyush Pathak United States
Yuzhong Cao China
Xiangyu Meng China
Yuwei Zhang China
Junjie He China
Yuhang Zhang China
Nicholas A. Valente United States
Changnian Chen China
Wei-Chen Li relative to G. Újvári Austria G. Újvári's profile →
Citations per field
00.5×8.4×
G. Újvári · 1×
Citations per year

Countries citing papers authored by Wei-Chen Li

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Chen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Chen Li. 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 Wei-Chen Li. The network helps show where Wei-Chen Li may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012152
2 201197
3 201052
4 201130
5 201026
6 202425
7 200925
8 20249
9 20246
10 20242
11 20181
12 20251
13 20250

About Wei-Chen Li

Wei-Chen Li is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 13 papers that have together received 426 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), Image and Object Detection Techniques (3 papers), Advanced Photocatalysis Techniques (2 papers), Quantum Dots Synthesis And Properties (2 papers), Electrocatalysts for Energy Conversion (2 papers), Green IT and Sustainability (1 paper), Advanced Battery Technologies Research (1 paper) and Organic Light-Emitting Diodes Research (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (252 citations), Media Technology (67 citations), Renewable Energy, Sustainability and the Environment (123 citations), Computer Vision and Pattern Recognition (134 citations) and Bioengineering (35 citations). Wei-Chen Li has collaborated with scholars based in China and Taiwan. Frequent co-authors include Du‐Ming Tsai, Shih-Chieh Wu, Jiun‐Yi Tseng, Pi-Guey Su, Yi Zhao, Xiangning He, Wuhua Li, Zexing Wu, Fusheng Liu and Weiping Xiao. Their work appears in journals such as Solar Energy Materials and Solar Cells, Journal of Alloys and Compounds, IEEE Sensors Journal, Inorganic Chemistry Frontiers and Optics & Laser Technology.

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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