Ding Liao

3.1k total citations · 3 hit papers
46 papers, 2.6k citations indexed

About

Ding Liao is a scholar working on Mechanics of Materials, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ding Liao has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Mechanics of Materials, 38 papers in Mechanical Engineering and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ding Liao's work include Fatigue and fracture mechanics (42 papers), High Temperature Alloys and Creep (17 papers) and Probabilistic and Robust Engineering Design (12 papers). Ding Liao is often cited by papers focused on Fatigue and fracture mechanics (42 papers), High Temperature Alloys and Creep (17 papers) and Probabilistic and Robust Engineering Design (12 papers). Ding Liao collaborates with scholars based in China, Portugal and Iran. Ding Liao's co-authors include Shun‐Peng Zhu, José A.F.O. Correia, Qingyuan Wang, Abílio M.P. De Jesus, Behrooz Keshtegar, Xiaopeng Niu, Filippo Berto, Jin-Chao He, Guian Qian and Guian Qian and has published in prestigious journals such as Progress in Materials Science, Renewable Energy and Materials & Design.

In The Last Decade

Ding Liao

44 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Probabilistic framework for fatigue life assessment of notched components under size effects

2020 284 citations Ding Liao, Shun‐Peng Zhu et al. International Journal of Mechanical Sciences profile →
Recent advances on notch effects in metal fatigue: A review

2020 186 citations Ding Liao, Shun‐Peng Zhu et al. Fatigue & Fracture of Engineering Materials & Structures profile →
Physics-guided machine learning frameworks for fatigue life prediction of AM materials

2023 82 citations Lanyi Wang, Shun‐Peng Zhu et al. International Journal of Fatigue profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ding Liao China	28	2.0k	1.8k	583	500	456	46	2.6k
Ricardo Branco Portugal	33	2.0k 1.0×	2.1k 1.2×	530 0.9×	175 0.3×	598 1.3×	185	3.2k
L. Molent Australia	26	1.5k 0.8×	1.0k 0.6×	433 0.7×	640 1.3×	324 0.7×	76	1.8k
R. Tovo Italy	33	3.1k 1.6×	1.7k 1.0×	1.9k 3.2×	551 1.1×	429 0.9×	115	3.8k
Rongqiao Wang China	28	1.4k 0.7×	1.5k 0.8×	309 0.5×	424 0.8×	465 1.0×	127	2.1k
Uwe Zerbst Germany	32	2.9k 1.5×	2.8k 1.6×	713 1.2×	195 0.4×	941 2.1×	114	3.7k
D. F. Socie United States	22	1.8k 0.9×	1.4k 0.8×	825 1.4×	277 0.6×	448 1.0×	39	2.5k
Run‐Zi Wang China	28	1.6k 0.8×	1.9k 1.1×	331 0.6×	420 0.8×	610 1.3×	93	2.4k
Ayhan Ince Canada	23	1.3k 0.6×	1.2k 0.7×	366 0.6×	131 0.3×	257 0.6×	54	1.6k
Kjell Simonsson Sweden	24	1.2k 0.6×	1.2k 0.7×	295 0.5×	113 0.2×	337 0.7×	89	1.8k
Sabrina Vantadori Italy	36	2.8k 1.5×	1.6k 0.9×	1.7k 2.9×	292 0.6×	622 1.4×	196	3.7k

Countries citing papers authored by Ding Liao

Since Specialization

Citations

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

Fields of papers citing papers by Ding Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Liao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Hai, et al.. (2025). Damage Tolerance Assessment of Heavy-Duty Freight Railway Axles with Artificial Defects. Chinese Journal of Mechanical Engineering. 38(1).

Gao, Jiewei, et al.. (2024). Fatigue behavior assessment of heavy-duty freight railway axles under different heat treatments. Engineering Failure Analysis. 164. 108654–108654. 1 indexed citations

Liao, Ding, Shun‐Peng Zhu, Jiewei Gao, et al.. (2024). Energy field intensity approach for probabilistic notch fatigue assessment under size effect. Chinese Journal of Aeronautics. 38(2). 103304–103304.

Liao, Ding, Jiewei Gao, Shun‐Peng Zhu, et al.. (2023). Fatigue behaviour of EA4T notched specimens: experiments and predictions using the theory of critical distance. Engineering Fracture Mechanics. 286. 109269–109269. 10 indexed citations

Wang, Lanyi, Shun‐Peng Zhu, Changqi Luo, Ding Liao, & Qingyuan Wang. (2023). Physics-guided machine learning frameworks for fatigue life prediction of AM materials. International Journal of Fatigue. 172. 107658–107658. 82 indexed citations breakdown →

Liao, Ding, Shun‐Peng Zhu, Jiewei Gao, et al.. (2023). Generalized strain energy density-based fatigue indicator parameter. International Journal of Mechanical Sciences. 254. 108427–108427. 18 indexed citations

Zhu, Shun‐Peng, et al.. (2022). Combined notch and size effect modeling of metallic materials for LCF using plasticity reformulated critical distance theory. Journal of Materials Research and Technology. 18. 470–484. 13 indexed citations

Zhu, Shun‐Peng, et al.. (2022). Probabilistic fatigue modelling of metallic materials under notch and size effect using the weakest link theory. International Journal of Fatigue. 159. 106788–106788. 86 indexed citations

Yuan, Rong, Ding Liao, Shun‐Peng Zhu, et al.. (2021). Contact stress analysis and fatigue life prediction of turbine disc–blade attachment with fir‐tree tenon structure. Fatigue & Fracture of Engineering Materials & Structures. 44(4). 1014–1026. 17 indexed citations

10.

Liao, Ding, et al.. (2021). Probabilistic Fatigue Life Prediction of Mechanical Structures: State of the Art. Journal of Mechanical Engineering. 57(16). 173–173. 3 indexed citations

11.

Gao, Jiewei, et al.. (2021). Foreign object damage tolerance and fatigue analysis of induction hardened S38C axles. Materials & Design. 202. 109488–109488. 26 indexed citations

12.

Gao, Jiewei, Ding Liao, Shun‐Peng Zhu, et al.. (2021). Fatigue and damage tolerance assessment of induction hardened S38C axles under different foreign objects. International Journal of Fatigue. 149. 106276–106276. 37 indexed citations

13.

Wang, Run‐Zi, et al.. (2021). Creep-fatigue Life Design Methods in High-temperature Structures: From Materials to Components. Journal of Mechanical Engineering. 57(16). 66–66. 1 indexed citations

14.

Liao, Ding, Shun‐Peng Zhu, José A.F.O. Correia, Abílio M.P. De Jesus, & Filippo Berto. (2020). Recent advances on notch effects in metal fatigue: A review. Fatigue & Fracture of Engineering Materials & Structures. 43(4). 637–659. 186 indexed citations breakdown →

15.

He, Jin-Chao, Shun‐Peng Zhu, Ding Liao, et al.. (2020). Combined TCD and HSV approach for probabilistic assessment of notch fatigue considering size effect. Engineering Failure Analysis. 120. 105093–105093. 33 indexed citations

16.

Gao, Jiewei, et al.. (2020). Influence of artificial defects on fatigue strength of induction hardened S38C axles. International Journal of Fatigue. 139. 105746–105746. 31 indexed citations

17.

Li, Yizhao, Shun‐Peng Zhu, Ding Liao, & Xiaopeng Niu. (2020). Probabilistic modeling of fatigue crack growth and experimental verification. Engineering Failure Analysis. 118. 104862–104862. 21 indexed citations

18.

Zhu, Shun‐Peng, et al.. (2019). New strain energy-based critical plane approach for multiaxial fatigue life prediction. The Journal of Strain Analysis for Engineering Design. 54(5-6). 310–319. 11 indexed citations

19.

Zhu, Shun‐Peng, et al.. (2019). Probabilistic modelling of notch fatigue and size effect of components using highly stressed volume approach. International Journal of Fatigue. 127. 110–119. 101 indexed citations

20.

Xu, Shen, et al.. (2018). A new critical plane-energy model for multiaxial fatigue life prediction of turbine disc alloys. Engineering Failure Analysis. 93. 55–63. 54 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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