Chenchen Jing
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
-
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
-
- Additive Manufacturing and 3D Printing Technologies 11
-
- Additive Manufacturing Materials and Processes 15
- Welding Techniques and Residual Stresses 6
- Cellular and Composite Structures 4
- Co-authors
- Yunde Jia (10 shared papers)Changmeng Liu (15 shared papers)Jiping Lu (6 shared papers)Yuwei Wu (6 shared papers)Qi Wu (3 shared papers)Tianqiu Xu (12 shared papers)Mingtao Pei (4 shared papers)Shuyuan Ma (4 shared papers)
In The Last Decade
Chenchen Jing
33 papers receiving 562 citations
Peers
Comparison fields: 5 of 66
- Automotive Engineering 138
- Computer Vision and Pattern Recognition 187
- Mechanical Engineering 273
- Artificial Intelligence 142
- Industrial and Manufacturing Engineering 25
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 72 | |
| 2 | 2020 | 63 | |
| 3 | 2022 | 43 | |
| 4 | 2023 | 41 | |
| 5 | 2019 | 38 | |
| 6 | 2020 | 31 | |
| 7 | 2018 | 28 | |
| 8 | 2018 | 25 | |
| 9 | 2022 | 21 | |
| 10 | 2024 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2011 | 10 | |
| 20 | 2025 | 9 |
About Chenchen Jing
Chenchen Jing is a scholar working on Automotive Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 40 papers that have together received 570 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 (10 papers), Domain Adaptation and Few-Shot Learning (6 papers), Welding Techniques and Residual Stresses (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Human Pose and Action Recognition (5 papers) and Cellular and Composite Structures (4 papers). The work is most often cited by research in Automotive Engineering (138 citations), Computer Vision and Pattern Recognition (187 citations), Mechanical Engineering (273 citations), Artificial Intelligence (142 citations) and Industrial and Manufacturing Engineering (25 citations). Chenchen Jing has collaborated with scholars based in China, Australia and Italy. Frequent co-authors include Yunde Jia, Changmeng Liu, Jiping Lu, Yuwei Wu, Qi Wu, Tianqiu Xu, Mingtao Pei, Shuyuan Ma, Xiaoxun Zhang and Lei Ji. Their work appears in journals such as Journal of Materials Processing Technology, Journal of Manufacturing Processes, Materials Science and Engineering A, The International Journal of Advanced Manufacturing Technology and Structures.
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.