Junzhou Chen

69 papers receiving 1.2k citations

Peers

Junzhou Chen
Comparison fields: 5 of 78
  • Aerospace Engineering 220
  • Computer Vision and Pattern Recognition 157
  • Oncology 92
  • Gastroenterology 23
  • Automotive Engineering 22
Replace Mehmet Turan with:
Mehmet Turan Türkiye
Mark E. Rentschler United States
Désiré Sidibé A France
Shan Gao China
Kazufumi Kaneda Japan
Long Chen China
Zhiqiang Zhao China
Xinyu Wei China
Tomokazu Takahashi Japan
Junzhou Chen relative to Mehmet Turan Türkiye Mehmet Turan's profile →
Citations per field
00.5×2×4×5.8×
Mehmet Turan · 1×
Citations per year

Countries citing papers authored by Junzhou Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junzhou Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008192
2 2011114
3 202168
4 202061
5 202359
6 201657
7 202339
8 202438
9 200833
10 202233
11 200831
12 202229
13 202428
14 201924
15 202423
16 201422
17 201822
18 202321
19 202320
20 201818

About Junzhou Chen

Junzhou Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence and Building and Construction, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Aluminum Alloy Microstructure Properties (8 papers), Advanced Neural Network Applications (8 papers), Advanced Graph Neural Networks (4 papers), Fire Detection and Safety Systems (3 papers), Traffic Prediction and Management Techniques (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Aerospace Engineering (220 citations), Computer Vision and Pattern Recognition (157 citations), Oncology (92 citations), Gastroenterology (23 citations) and Automotive Engineering (22 citations). Junzhou Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liang Zhen, Wen‐Zhu Shao, Shenglong Dai, Ronghui Zhang, Bo Peng, Ningxin Zhou, Quanda Liu, Zhifei Wang, Zhihan Lv and Honghan Chen. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems, Materials Science and Engineering A, IEEE Transactions on Instrumentation and Measurement and Materials.

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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