Zeqing Jin
- Automotive Engineering top 2%
- Additive Manufacturing and 3D Printing Technologies 7
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- Industrial Vision Systems and Defect Detection 3
- Mechanical Engineering top 5%
- Additive Manufacturing Materials and Processes 2
- Advanced Materials and Mechanics 2
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- 3D Printing in Biomedical Research 3
- Advanced Sensor and Energy Harvesting Materials 3
- Building and Construction top 10%
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- Machine Learning in Materials Science 2
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- Robot Manipulation and Learning 2
- Co-authors
- Grace X. GuZhizhou ZhangKahraman DemirXing Quan WangGrace HuXueying ZhaoSangryun LeeBowen Zheng
- Journals
- Advanced Materials (1 paper)SHILAP Revista de lepidopterología (3 papers)Neuroscience (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Zeqing Jin
18 papers receiving 710 citations
Peers
Comparison fields: 5 of 79
- Automotive Engineering 494
- Industrial and Manufacturing Engineering 268
- Mechanical Engineering 360
- Biomedical Engineering 222
- Building and Construction 55
Countries citing papers authored by Zeqing Jin
This map shows the geographic impact of Zeqing Jin'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 Zeqing Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeqing Jin more than expected).
Fields of papers citing papers by Zeqing Jin
This network shows the impact of papers produced by Zeqing Jin. 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 Zeqing Jin. The network helps show where Zeqing Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zeqing Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 95 | |
| 13 | 2021 | 37 | |
| 14 | 2020 | 54 | |
| 15 | 2020 | 186 | |
| 16 | 2019 | 119 | |
| 17 | 2019 | 179 | |
| 18 | 2019 | 4 | |
| 19 | 2019 | 2 |
About Zeqing Jin
Zeqing Jin is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering and Physiology, having authored 19 papers that have together received 735 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (7 papers), 3D Printing in Biomedical Research (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Machine Learning in Materials Science (2 papers), Additive Manufacturing Materials and Processes (2 papers), Robot Manipulation and Learning (2 papers) and Advanced Materials and Mechanics (2 papers). The work is most often cited by research in Automotive Engineering (494 citations), Industrial and Manufacturing Engineering (268 citations) and Mechanical Engineering (360 citations). Zeqing Jin has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Grace X. Gu, Zhizhou Zhang, Kahraman Demir, Zhizhou Zhang, Xing Quan Wang, Grace Hu, Xueying Zhao, Sangryun Lee, Bowen Zheng and Jimin Gu. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Neuroscience.
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.