Chengjun Chen
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Pharmaceutical Science top 2%
Papers in
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- Industrial Vision Systems and Defect Detection 14
- Manufacturing Process and Optimization 7
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- Advanced Neural Network Applications 10
- Co-authors
- Xuehai Yan (9 shared papers)Guanghui Ma (6 shared papers)Xing Tang (3 shared papers)Dandan Han (3 shared papers)Ruirui Xing (6 shared papers)Cuifang Cai (1 shared paper)Guizhi Shen (6 shared papers)Dongnian Li (17 shared papers)
In The Last Decade
Chengjun Chen
59 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 146
- Biomaterials 707
- Pharmaceutical Science 158
- Human-Computer Interaction 110
- Industrial and Manufacturing Engineering 171
- Biomedical Engineering 636
Countries citing papers authored by Chengjun Chen
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
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-authors
The 25 scholars most cited alongside Chengjun Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 418 | |
| 2 | 2016 | 302 | |
| 3 | 2014 | 209 | |
| 4 | 2016 | 185 | |
| 5 | 2016 | 106 | |
| 6 | 2009 | 98 | |
| 7 | 2014 | 86 | |
| 8 | 2020 | 72 | |
| 9 | 2012 | 70 | |
| 10 | 2023 | 67 | |
| 11 | 2016 | 67 | |
| 12 | 2015 | 66 | |
| 13 | 2014 | 65 | |
| 14 | 2016 | 60 | |
| 15 | 2023 | 43 | |
| 16 | 2021 | 41 | |
| 17 | 2020 | 35 | |
| 18 | 2020 | 34 | |
| 19 | 2009 | 25 | |
| 20 | 2020 | 24 |
About Chengjun Chen
Chengjun Chen is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering and Biomaterials, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (14 papers), Advanced Neural Network Applications (10 papers), Robot Manipulation and Learning (8 papers), Manufacturing Process and Optimization (7 papers), Nanoparticle-Based Drug Delivery (6 papers), Supramolecular Self-Assembly in Materials (5 papers), Simulation and Modeling Applications (5 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Biomaterials (707 citations), Pharmaceutical Science (158 citations), Human-Computer Interaction (110 citations), Industrial and Manufacturing Engineering (171 citations) and Biomedical Engineering (636 citations). Chengjun Chen has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Xuehai Yan, Guanghui Ma, Xing Tang, Dandan Han, Ruirui Xing, Cuifang Cai, Guizhi Shen, Dongnian Li, Kai Liu and Tifeng Jiao. Their work appears in journals such as Measurement, Robotics and Computer-Integrated Manufacturing, The International Journal of Advanced Manufacturing Technology, Sensors 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.