Weibin Chen

1.1k citations
61 papers · 869 indexed · h-index 17

Weibin Chen

52 papers receiving 850 citations

Peers

Weibin Chen
Comparison fields: 5 of 142
  • Periodontics 44
  • Toxicology 30
  • Artificial Intelligence 192
  • Computer Vision and Pattern Recognition 81
  • Computational Theory and Mathematics 57
Replace Daichi Shigemizu with:
Daichi Shigemizu Japan
Xuan Xiao China
Pingping Bing China
Mayun Chen China
Liu Li China
Twan van Laarhoven Netherlands
Tam T. Nguyen United States
Jiajing Chen China
Xiaoyan Li China
Xing Chen China
Weibin Chen relative to Daichi Shigemizu Japan Daichi Shigemizu's profile →
Citations per field
00.5×7.3×
Daichi Shigemizu · 1×
Citations per year

Countries citing papers authored by Weibin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weibin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20250
5 20240
6 202333
7 202311
8 202313
9 202223
10 20222
11 202138
12
Endoscopic Resection of a Large Brunner's Gland Hamartoma: A Case Report and Literature Review
20200
13 20197
14 20170
15
Fusion Algorithm of Infrared Images and Visible Images Based on Weighting
20160
16
Lossless mapping research between XML schema and relational schema
20102
17
Quality Prediction of Wastewater Treatment Based on Immune Particle Swarm Neural Networks
20103
18
Research on birds Image Recognition with SVM decision tree with Priori information
20091
19
Eco-climatic environment conditions and its changes of lemon growth in Anyue area
20091
20
Business intelligence system based on Pentaho
20082

About Weibin Chen

Weibin Chen is a scholar working on Acoustics and Ultrasonics, Toxicology and Artificial Intelligence, having authored 61 papers that have together received 869 indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (4 papers), Advanced Computational Techniques and Applications (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Brain Tumor Detection and Classification (3 papers), Advanced Database Systems and Queries (3 papers), Advanced Algorithms and Applications (3 papers), Glaucoma and retinal disorders (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Periodontics (44 citations), Toxicology (30 citations) and Artificial Intelligence (192 citations). Weibin Chen has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Huiling Chen, Ali Asghar Heidari, Zhiguo Xia, Guoxi Liang, Mingjing Wang, Xuehua Zhao, Xin Zhang, Yuzhen Wang, Lejun Zhang and Huifang Wu. Their work appears in journals such as Advanced Materials, Advanced Functional Materials and Scientific Reports.

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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