Chengjun Chen

2.8k total citations
63 papers, 2.3k citations indexed

About

Chengjun Chen is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Chengjun Chen has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Industrial and Manufacturing Engineering, 21 papers in Computer Vision and Pattern Recognition and 15 papers in Control and Systems Engineering. Recurrent topics in Chengjun Chen's work include Industrial Vision Systems and Defect Detection (14 papers), Advanced Neural Network Applications (10 papers) and Robot Manipulation and Learning (8 papers). Chengjun Chen is often cited by papers focused on Industrial Vision Systems and Defect Detection (14 papers), Advanced Neural Network Applications (10 papers) and Robot Manipulation and Learning (8 papers). Chengjun Chen collaborates with scholars based in China, Germany and Singapore. Chengjun Chen's co-authors include Xuehai Yan, Guanghui Ma, Xing Tang, Dandan Han, Ruirui Xing, Cuifang Cai, Guizhi Shen, Kai Liu, Dongnian Li and Tifeng Jiao and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Energy & Environmental Science.

In The Last Decade

Chengjun Chen

59 papers receiving 2.2k citations

Peers

Chengjun Chen
Comparison fields: 5 of 148
  • Molecular Biology 725
  • Biomaterials 715
  • Biomedical Engineering 631
  • Materials Chemistry 399
  • Organic Chemistry 247
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Yonghong Song China View profile →
Citations per field, relative to Chengjun Chen
Chengjun Chen · 1×
Citations per year, relative to Chengjun Chen
Chengjun Chen · 1×

Countries citing papers authored by Chengjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chengjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjun Chen. A scholar is included among the top collaborators of Chengjun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chengjun Chen. Chengjun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 4
3 3
4 5
5 2
6 9
7 59
8 11
9 1
10 1
11 4
12 2
13 15
14 13
15 1
16 17
17 86
18 69
19 97
20
Feature segmentation of sectional curve based on multi-scale analysis in reverse engineering
0

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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