Shitong Peng

1.2k total citations
58 papers, 874 citations indexed

About

Shitong Peng is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Shitong Peng has authored 58 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 16 papers in Industrial and Manufacturing Engineering and 14 papers in Automotive Engineering. Recurrent topics in Shitong Peng's work include Additive Manufacturing Materials and Processes (22 papers), Environmental Impact and Sustainability (13 papers) and Welding Techniques and Residual Stresses (12 papers). Shitong Peng is often cited by papers focused on Additive Manufacturing Materials and Processes (22 papers), Environmental Impact and Sustainability (13 papers) and Welding Techniques and Residual Stresses (12 papers). Shitong Peng collaborates with scholars based in China, United States and Israel. Shitong Peng's co-authors include Hongchao Zhang, Tao Li, Zhichao Liu, Junli Shi, Weiwei Liu, Zijue Tang, George Z. Tan, Yiwen Wang, Zhao Zhang and Jiali Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Advanced Functional Materials.

In The Last Decade

Shitong Peng

48 papers receiving 858 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shitong Peng China 16 452 273 188 182 115 58 874
Matthew Riddle United States 13 535 1.2× 533 2.0× 130 0.7× 239 1.3× 90 0.8× 17 1.1k
Sachin Nimbalkar United States 10 600 1.3× 513 1.9× 134 0.7× 254 1.4× 67 0.6× 34 989
Yanbin Du China 17 429 0.9× 67 0.2× 275 1.5× 263 1.4× 131 1.1× 70 1.1k
Mahesh Mani United States 16 340 0.8× 349 1.3× 248 1.3× 389 2.1× 60 0.5× 28 872
Mengdi Gao China 13 210 0.5× 127 0.5× 62 0.3× 157 0.9× 32 0.3× 39 636
Denise Morrey United Kingdom 14 164 0.4× 386 1.4× 40 0.2× 101 0.6× 42 0.4× 49 874
P. Sheng United States 18 354 0.8× 71 0.3× 117 0.6× 362 2.0× 46 0.4× 38 834
Martin Svanberg Sweden 13 88 0.2× 77 0.3× 101 0.5× 160 0.9× 23 0.2× 19 712
M. Abdul Quader Malaysia 11 442 1.0× 46 0.2× 98 0.5× 31 0.2× 68 0.6× 14 768

Countries citing papers authored by Shitong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Shitong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shitong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Shitong Peng. A scholar is included among the top collaborators of Shitong Peng 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 Shitong Peng. Shitong Peng 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.
Peng, Shitong, et al.. (2025). Prediction of 3D temperature field through single 2D temperature data based on transfer learning-based PINN model in laser-based directed energy deposition. Journal of Manufacturing Processes. 138. 140–156. 13 indexed citations
2.
Liao, Zuwei, Ze Wang, Weiwei Liu, et al.. (2025). Physics-informed Fourier-Gaussian-Laplacian neural network for temperature field reconstruction and accurate prediction in laser wire additive manufacturing. Journal of Manufacturing Processes. 157. 871–900.
3.
4.
Lin, Yao, et al.. (2025). Rapid life cycle assessment for metal additive manufactured product: a multi-feature based predictive approach. Journal of Cleaner Production. 521. 146221–146221.
5.
Li, Yi, et al.. (2025). Temporal-mask multiple-scale fusion network: a novel hybrid network framework for robust fault diagnosis under varying noise interference. Computers & Chemical Engineering. 202. 109327–109327. 1 indexed citations
6.
Li, Wanyang, Weiwei Liu, Huanqiang Liu, et al.. (2025). Melt pool evolution, microstructure and fracture toughness analysis of nickel-based composite coating deposited by laser-based directed energy deposition on 316L stainless steel. Journal of Alloys and Compounds. 1020. 179348–179348. 2 indexed citations
7.
8.
Guo, Jianan, et al.. (2025). Research on the coupled characteristics of multi-physics fields in direct energy deposition melt pool considering powder effect. International Journal of Heat and Mass Transfer. 246. 127074–127074.
9.
Peng, Shitong, Tao Li, Fengtao Wang, et al.. (2024). Integration of improved meta-heuristic and machine learning for optimizing energy efficiency in additive manufacturing process. Energy. 306. 132518–132518. 6 indexed citations
10.
Xiao, H., et al.. (2024). Life cycle assessment of metal powder production: a Bayesian stochastic Kriging model-based autonomous estimation. SHILAP Revista de lepidopterología. 4(1). 3 indexed citations
11.
Peng, Shitong, et al.. (2024). A review on physics-informed machine learning for monitoring metal additive manufacturing process. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Peng, Shitong, et al.. (2024). Toward More Realistic Estimates of Product Displacement in Life Cycle Assessment. Environmental Science & Technology. 58(37). 16237–16247. 3 indexed citations
13.
Li, Yi, et al.. (2024). Energy Consumption Prediction of Injection Molding Process Based on Rolling Learning Informer Model. Polymers. 16(21). 3097–3097. 2 indexed citations
14.
15.
Peng, Shitong, et al.. (2023). Simulation Study on the Energy Utilization Efficiency of a Turbine Impeller Based on a Selective Laser Melting Process. Applied Sciences. 13(19). 10657–10657. 3 indexed citations
16.
Guo, Zhiwei, Tao Li, Shitong Peng, Xinlin Wang, & Hongchao Zhang. (2022). When will China's passenger vehicle sector reach CO2 emissions peak? A life cycle approach based on system dynamics. Sustainable Production and Consumption. 33. 508–519. 20 indexed citations
17.
Liu, Hanru, et al.. (2022). In-suit monitoring melt pool states in direct energy deposition using ResNet. Measurement Science and Technology. 33(12). 124007–124007. 5 indexed citations
18.
Peng, Shitong, et al.. (2019). Environmental Benefits of Engine Remanufacture in China’s Circular Economy Development. Environmental Science & Technology. 53(19). 11294–11301. 19 indexed citations
19.
Peng, Shitong, Tao Li, Jiali Zhao, et al.. (2019). Petri net-based scheduling strategy and energy modeling for the cylinder block remanufacturing under uncertainty. Robotics and Computer-Integrated Manufacturing. 58. 208–219. 38 indexed citations
20.
Peng, Shitong, Tao Li, Xinlin Wang, et al.. (2017). Toward a Sustainable Impeller Production: Environmental Impact Comparison of Different Impeller Manufacturing Methods. Journal of Industrial Ecology. 21(S1). 70 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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