Chenchen Jing
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
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- Additive Manufacturing Materials and Processes 15
- Welding Techniques and Residual Stresses 6
- Hydraulic and Pneumatic Systems 3
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- Additive Manufacturing and 3D Printing Technologies 11
- Co-authors
- Yunde Jia (9 shared papers)Changmeng Liu (15 shared papers)Jiping Lu (6 shared papers)Yuwei Wu (6 shared papers)Qi Wu (3 shared papers)Mingtao Pei (3 shared papers)Tianqiu Xu (11 shared papers)Shuyuan Ma (4 shared papers)
In The Last Decade
Chenchen Jing
31 papers receiving 469 citations
Peers
Comparison fields: 5 of 64
- Automotive Engineering 133
- Computer Vision and Pattern Recognition 162
- Mechanical Engineering 239
- Artificial Intelligence 121
- Industrial and Manufacturing Engineering 23
Countries citing papers authored by Chenchen Jing
This map shows the geographic impact of Chenchen Jing'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 Chenchen Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchen Jing more than expected).
Fields of papers citing papers by Chenchen Jing
This network shows the impact of papers produced by Chenchen Jing. 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 Chenchen Jing. The network helps show where Chenchen Jing may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchen Jing, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 66 | |
| 2 | 2020 | 56 | |
| 3 | 2019 | 36 | |
| 4 | 2022 | 36 | |
| 5 | 2023 | 29 | |
| 6 | 2020 | 26 | |
| 7 | 2018 | 26 | |
| 8 | 2018 | 24 | |
| 9 | 2024 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2023 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 5 |
About Chenchen Jing
Chenchen Jing is a scholar working on Mechanical Engineering, Automotive Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 35 papers that have together received 480 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (15 papers), Additive Manufacturing and 3D Printing Technologies (11 papers), Multimodal Machine Learning Applications (9 papers), Welding Techniques and Residual Stresses (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Human Pose and Action Recognition (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Hydraulic and Pneumatic Systems (3 papers). The work is most often cited by research in Automotive Engineering (133 citations), Computer Vision and Pattern Recognition (162 citations), Mechanical Engineering (239 citations), Artificial Intelligence (121 citations) and Industrial and Manufacturing Engineering (23 citations). Chenchen Jing has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Yunde Jia, Changmeng Liu, Jiping Lu, Yuwei Wu, Qi Wu, Mingtao Pei, Tianqiu Xu, Shuyuan Ma, Lei Ji and Xiaoxun Zhang. Their work appears in journals such as Journal of Materials Processing Technology, Materials Science and Engineering A, Journal of Manufacturing Processes, Materials & Design and Journal of Dynamic Systems Measurement and Control.
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.