Shichao Ding

402 total citations
42 papers, 325 citations indexed

About

Shichao Ding is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Shichao Ding has authored 42 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mechanical Engineering, 36 papers in Mechanics of Materials and 8 papers in Computational Mechanics. Recurrent topics in Shichao Ding's work include Metal Forming Simulation Techniques (38 papers), Metallurgy and Material Forming (34 papers) and Microstructure and Mechanical Properties of Steels (18 papers). Shichao Ding is often cited by papers focused on Metal Forming Simulation Techniques (38 papers), Metallurgy and Material Forming (34 papers) and Microstructure and Mechanical Properties of Steels (18 papers). Shichao Ding collaborates with scholars based in Australia, China and New Zealand. Shichao Ding's co-authors include W.J.T. Daniel, Paul A. Meehan, J.L. Duncan, Dayong Li, Yaguang Li, Zhen Qian, Xiao Hua, Lei Shi, Lei Shi and Zhaobing Liu and has published in prestigious journals such as Genetics, Journal of Materials Processing Technology and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Shichao Ding

39 papers receiving 320 citations

Peers

Shichao Ding

CSE

Rasoul Safdarian Iran

Gaochao Yu China

B.K. Chun United States

Pawel Woelke United States

Vincent T. Meinders Netherlands

Alper Güner Germany

Per-Anders Eggertsen Sweden

Jean‐Loup Chenot France

Fabien Cazes France

Mats Sigvant Sweden

Rasoul Safdarian Iran

Shichao Ding

346 ×1.2

238 ×0.9

80 ×1.4

39 ×1.2

14 ×0.4

CSE

Citations per year, relative to Shichao Ding Shichao Ding (= 1×) peers Rasoul Safdarian

Countries citing papers authored by Shichao Ding

Since Specialization

Citations

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

Fields of papers citing papers by Shichao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shichao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Shichao Ding. A scholar is included among the top collaborators of Shichao Ding 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 Shichao Ding. Shichao Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhou, Kai, Shichao Ding, Y.J. Xie, Yunfeng Shao, & Zuo‐Feng Zhang. (2024). A neural network for the prediction of damage to reinforced cylindrical shells subjected to non-contact underwater explosions. Journal of Physics Conference Series. 2891(6). 62007–62007. 1 indexed citations

Wang, Changjiang, Zhen Qian, Paul A. Meehan, W.J.T. Daniel, & Shichao Ding. (2023). Analytical and numerical determination of the forming load in the Chain-die forming process. Journal of Manufacturing Processes. 102. 478–489. 2 indexed citations

Han, Fei, et al.. (2022). Numerical and Experimental Parametric Study on the Mechanism of Web-Warping in Chain-Die Forming with Variable Cross-Section. International Journal of Precision Engineering and Manufacturing. 24(2). 159–171.

Dai, Wei, Zhiheng Zhang, Yang Liu, et al.. (2022). Compensate for longitudinally discrepant springback and bow in chain-die forming processes by multiple sections optimization. The International Journal of Advanced Manufacturing Technology. 121(9-10). 6407–6430. 4 indexed citations

Liu, Yang, et al.. (2022). A theoretical model for predicting sidewall wrinkling in chain-die forming of channels with variable widths. Thin-Walled Structures. 180. 109915–109915. 7 indexed citations

Qian, Zhen, Yitian Zhao, Sheng Liu, et al.. (2021). Numerical and Experimental Investigation of the Bending Zone in Free U-Bending. Journal of Manufacturing Science and Engineering. 143(9). 5 indexed citations

Li, Dayong, et al.. (2020). Experimental Analysis of Warping Defects in Chain-die Forming Variable-width Profiles. IOP Conference Series Materials Science and Engineering. 967(1). 12089–12089. 1 indexed citations

Qian, Zhen, et al.. (2019). Investigation of the design process for the Chain-die forming technology based on the developed multi-stand numerical model. Journal of Materials Processing Technology. 277. 116484–116484. 10 indexed citations

Luzin, Vladimir, Sabrina Alam Khan, Napat Vajragupta, et al.. (2019). Understanding of residual stresses in chain-die-formed dual-phase (DP) metallic components: predictive modelling and experimental validation. The International Journal of Advanced Manufacturing Technology. 103(9-12). 3337–3360. 6 indexed citations

10.

Li, Yaguang, Zhiheng Zhang, Dayong Li, et al.. (2019). An analytical model for rapid prediction and compensation of springback for chain-die forming of an AHSS U-channel. International Journal of Mechanical Sciences. 159. 195–212. 35 indexed citations

11.

Khan, Sabrina Alam, Zhen Qian, W.J.T. Daniel, et al.. (2017). Determination of microstructure evolution in metallic components introduced by Chain-die forming. Procedia Engineering. 207. 1296–1301. 1 indexed citations

12.

Qian, Zhen, et al.. (2017). Experimental and numerical investigation of flange angle in Chain-die formed AHSS U-channel sections. The International Journal of Advanced Manufacturing Technology. 92(1-4). 1231–1242. 12 indexed citations

13.

Luzin, Vladimir, et al.. (2016). Development of the slope cutting method for determining the residual stresses in roll formed products. Measurement. 100. 26–35. 14 indexed citations

14.

Qian, Zhen, et al.. (2016). Numerical Investigation of the Permanent Longitudinal Strain and Web-warping in Chain-die Formed AHSS Variable Width Sections. Queensland's institutional digital repository (The University of Queensland). 581–585. 2 indexed citations

15.

Han, Fei, Zhaobing Liu, W.J.T. Daniel, et al.. (2015). The experimental investigation on chain-die forming U-profiled AHSS products. Queensland's institutional digital repository (The University of Queensland). 4 indexed citations

16.

Ding, Shichao, et al.. (2013). Numerical analysis of spiral roller of chain-die former. AIP conference proceedings. 812–815.

17.

Ding, Shichao, et al.. (2012). A study of forming a right-angled channel section in one pass by Chain-die Forming. Genetics. 151(3). 399–63. 2 indexed citations

18.

Ding, Shichao, et al.. (2012). A comparison study of Chain-die Forming and roll forming by forming a top hat section. Research Online (University of Wollongong). 703. 10 indexed citations

19.

Ding, Shichao & J.L. Duncan. (2004). Instability in bending-under-tension of aged steel sheet. International Journal of Mechanical Sciences. 46(10). 1471–1480. 8 indexed citations

20.

Duncan, J.L., et al.. (1999). Moment–curvature measurement in thin sheet—part I: equipment. International Journal of Mechanical Sciences. 41(3). 249–260. 17 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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