Jiqiang Chen
Impact in
- Aerospace Engineering top 1%
- Aluminum Alloy Microstructure Properties
- Mechanical Engineering top 2%
- Aluminum Alloys Composites Properties
- Additive Manufacturing Materials and Processes
- Advanced Welding Techniques Analysis
- Welding Techniques and Residual Stresses
Papers in
-
- Aluminum Alloys Composites Properties 46
- Additive Manufacturing Materials and Processes 14
-
- Aluminum Alloy Microstructure Properties 45
- Co-authors
- Yunlai Deng (11 shared papers)Xiaobin Guo (10 shared papers)Renguo Guan (19 shared papers)Shengci Li (9 shared papers)Hongjin Zhao (9 shared papers)Minghu Ha (8 shared papers)Liang Qi (8 shared papers)Jieke Ren (16 shared papers)
In The Last Decade
Jiqiang Chen
88 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Aerospace Engineering 773
- Mechanical Engineering 1.0k
- Materials Chemistry 598
- Automotive Engineering 94
- Metals and Alloys 20
Countries citing papers authored by Jiqiang Chen
This map shows the geographic impact of Jiqiang 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 Jiqiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiqiang Chen more than expected).
Fields of papers citing papers by Jiqiang Chen
This network shows the impact of papers produced by Jiqiang 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 Jiqiang Chen. The network helps show where Jiqiang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiqiang 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2020 | 66 | |
| 3 | 2019 | 65 | |
| 4 | 2021 | 64 | |
| 5 | 2015 | 59 | |
| 6 | 2012 | 56 | |
| 7 | 2022 | 54 | |
| 8 | 2020 | 52 | |
| 9 | 2015 | 40 | |
| 10 | 2020 | 32 | |
| 11 | 2017 | 31 | |
| 12 | 2022 | 31 | |
| 13 | 2019 | 30 | |
| 14 | 2020 | 29 | |
| 15 | 2022 | 29 | |
| 16 | 2022 | 28 | |
| 17 | 2015 | 27 | |
| 18 | 2022 | 25 | |
| 19 | 1993 | 25 | |
| 20 | 2014 | 25 |
About Jiqiang Chen
Jiqiang Chen is a scholar working on Mechanical Engineering, Aerospace Engineering, Materials Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (46 papers), Aluminum Alloy Microstructure Properties (45 papers), Microstructure and mechanical properties (28 papers), Additive Manufacturing Materials and Processes (14 papers), Fuzzy Systems and Optimization (10 papers), Multi-Criteria Decision Making (8 papers), Image Processing Techniques and Applications (7 papers) and Additive Manufacturing and 3D Printing Technologies (7 papers). The work is most often cited by research in Aerospace Engineering (773 citations), Mechanical Engineering (1.0k citations), Materials Chemistry (598 citations), Automotive Engineering (94 citations) and Metals and Alloys (20 citations). Jiqiang Chen has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Yunlai Deng, Xiaobin Guo, Renguo Guan, Shengci Li, Hongjin Zhao, Minghu Ha, Liang Qi, Jieke Ren, Chao Wang and Chao Liu. Their work appears in journals such as Journal of Materials Research and Technology, Materials Characterization, Materials Science and Engineering A, Journal of Alloys and Compounds and Information Sciences.
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.