Jingchao Jiang

4.3k total citations · 4 hit papers
70 papers, 3.2k citations indexed

About

Jingchao Jiang is a scholar working on Automotive Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jingchao Jiang has authored 70 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Automotive Engineering, 31 papers in Mechanical Engineering and 28 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jingchao Jiang's work include Additive Manufacturing and 3D Printing Technologies (41 papers), Manufacturing Process and Optimization (23 papers) and Additive Manufacturing Materials and Processes (21 papers). Jingchao Jiang is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (41 papers), Manufacturing Process and Optimization (23 papers) and Additive Manufacturing Materials and Processes (21 papers). Jingchao Jiang collaborates with scholars based in China, Hong Kong and New Zealand. Jingchao Jiang's co-authors include Xun Xu, Jonathan Stringer, Yongsheng Ma, Chunling Yu, Aamer Nazir, Junzhi Liu, Onur Ertuğrul, Ozkan Gokcekaya, Kazi Md Masum Billah and Jiayu Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Journal of Cleaner Production.

In The Last Decade

Jingchao Jiang

65 papers receiving 3.1k citations

Hit Papers

Multi-material additive manufac... 2018 2026 2020 2023 2023 2018 2023 2024 100 200 300 400

Peers

Jingchao Jiang
Yuming Zhang United States
Jin Wang China
Dongmin Yang United Kingdom
Yang Xia China
José Duarte United States
Jie Sun China
Jingchao Jiang
Citations per year, relative to Jingchao Jiang Jingchao Jiang (= 1×) peers Akhil Garg

Countries citing papers authored by Jingchao Jiang

Since Specialization
Citations

This map shows the geographic impact of Jingchao Jiang'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 Jingchao Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingchao Jiang more than expected).

Fields of papers citing papers by Jingchao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingchao Jiang. 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 Jingchao Jiang. The network helps show where Jingchao Jiang may publish in the future.

Co-authorship network of co-authors of Jingchao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingchao Jiang. A scholar is included among the top collaborators of Jingchao Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingchao Jiang. Jingchao Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xu, Hao, et al.. (2025). INPR-Connector: Interlocking negative Poisson’s ratio connectors design for deployable energy absorption structures. Composites Part B Engineering. 297. 112243–112243. 3 indexed citations
2.
Wang, Kang, et al.. (2025). Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models. Journal of Intelligent Manufacturing. 37(3). 1163–1178. 2 indexed citations
3.
Jiang, Jingchao, et al.. (2025). Effects of Multi-Step-Ahead Prediction Strategies on LSTM-Based Runoff Prediction. Water Resources Management. 39(15). 8103–8116. 3 indexed citations
4.
Jin, Liuchao, Xiaoya Zhai, Kang Zhang, et al.. (2025). Finite element analysis, machine learning, and digital twins for soft robots: state-of-arts and perspectives. Smart Materials and Structures. 34(3). 33002–33002. 10 indexed citations
5.
Tamir, Tariku Sinshaw, Xijin Hua, Jingchao Jiang, et al.. (2024). Data-Driven and Physics-Assisted Machine Learning Approach for Warpage Classification and Process Parameter Optimization in a 3-D-Printed BeltClip. IEEE Transactions on Computational Social Systems. 12(4). 1637–1652.
6.
Jin, Liuchao, Shouyi Yu, Jianxiang Cheng, et al.. (2024). Machine learning driven forward prediction and inverse design for 4D printed hierarchical architecture with arbitrary shapes. Applied Materials Today. 40. 102373–102373. 23 indexed citations
7.
Jin, Liuchao, Xiaoya Zhai, Kang Zhang, & Jingchao Jiang. (2024). Unlocking the potential of low-melting-point alloys integrated extrusion additive manufacturing: insights into mechanical behavior, energy absorption, and electrical conductivity. Progress in Additive Manufacturing. 10(4). 2733–2745. 2 indexed citations
8.
Jin, Liuchao, Xiaoya Zhai, Kang Zhang, Jingchao Jiang, & Wei‐Hsin Liao. (2024). Spider Web-Inspired Additive Manufacturing: Unleashing the Potential of Lightweight Support Structures. SHILAP Revista de lepidopterología. 401. 2003–2003. 1 indexed citations
9.
Tamir, Tariku Sinshaw, Gang Xiong, Zhen Shen, et al.. (2023). 3D printing in materials manufacturing industry: A realm of Industry 4.0. Heliyon. 9(9). e19689–e19689. 28 indexed citations
10.
Jiang, Jingchao, et al.. (2023). Low-melting-point alloys integrated extrusion additive manufacturing. Additive manufacturing. 72. 103633–103633. 13 indexed citations
11.
Wang, Kun, Jun Cao, Jianhong Gao, et al.. (2023). Unveiling the structure-activity relationship of hollow spindle-like α-Fe2O3 nanoparticles via phosphorus doping engineering for enhanced lithium storage. Sustainable materials and technologies. 38. e00744–e00744. 2 indexed citations
12.
Li, Qiuge, et al.. (2023). Voxel-based variable width continuous spiral path planning for 3D printing. Journal of Manufacturing Processes. 107. 226–239. 7 indexed citations
13.
Tamir, Tariku Sinshaw, Gang Xiong, Qihang Fang, et al.. (2022). Machine-learning-based monitoring and optimization of processing parameters in 3D printing. International Journal of Computer Integrated Manufacturing. 36(9). 1362–1378. 70 indexed citations
14.
Jiang, Jingchao, et al.. (2022). Asymmetric Two-Stage CycleGAN for Generation of Faces With Shadow Puppet Style. IEEE Access. 10. 132863–132874. 2 indexed citations
15.
Weng, Fei, Shiming Gao, Jingchao Jiang, Jianjian Wang, & Ping Guo. (2019). A novel strategy to fabricate thin 316L stainless steel rods by continuous directed energy deposition in Z direction. Additive manufacturing. 27. 474–481. 75 indexed citations
16.
Jiang, Jingchao, Fei Weng, Shiming Gao, et al.. (2019). A support interface method for easy part removal in directed energy deposition. Manufacturing Letters. 20. 30–33. 33 indexed citations
17.
Jiang, Jingchao, Jonathan Stringer, & Xun Xu. (2018). Support Optimization for Flat Features via Path Planning in Additive Manufacturing. 3D Printing and Additive Manufacturing. 6(3). 171–179. 60 indexed citations
18.
Jiang, Jingchao, et al.. (2016). [Accuracy evaluation of multi-satellite precipitation products over Circum-Bohai-Sea Region.]. PubMed. 27(9). 2916–2924. 3 indexed citations
20.
Jiang, Jingchao, et al.. (2015). Control measures about vibration and noise of pipeline onboard marine vessels. Vibroengineering PROCEDIA. 5. 377–382. 1 indexed citations

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.

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