Haohao Ding

3.2k total citations
126 papers, 2.3k citations indexed

About

Haohao Ding is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Haohao Ding has authored 126 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Mechanical Engineering, 83 papers in Mechanics of Materials and 48 papers in Materials Chemistry. Recurrent topics in Haohao Ding's work include Railway Engineering and Dynamics (75 papers), Mechanical stress and fatigue analysis (57 papers) and Metal Alloys Wear and Properties (41 papers). Haohao Ding is often cited by papers focused on Railway Engineering and Dynamics (75 papers), Mechanical stress and fatigue analysis (57 papers) and Metal Alloys Wear and Properties (41 papers). Haohao Ding collaborates with scholars based in China, Italy and United Kingdom. Haohao Ding's co-authors include Q.Y. Liu, Junlong Guo, Wenjian Wang, Weijie Wang, Qiyue Liu, Jun Guo, Roger Lewis, Yue Hu, Liang Zhou and Kun Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

Haohao Ding

112 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haohao Ding China 27 2.0k 1.4k 840 253 237 126 2.3k
Q.Y. Liu China 37 2.7k 1.4× 1.9k 1.4× 1.1k 1.4× 212 0.8× 370 1.6× 77 3.0k
Longmao Zhao China 35 2.7k 1.4× 1.1k 0.8× 1.0k 1.2× 186 0.7× 1.5k 6.4× 83 3.3k
Uwe Zerbst Germany 32 2.8k 1.4× 2.9k 2.0× 941 1.1× 41 0.2× 713 3.0× 114 3.7k
Guian Qian Switzerland 26 1.2k 0.6× 1.1k 0.8× 626 0.7× 111 0.4× 253 1.1× 74 1.9k
Liantao Lu China 30 2.2k 1.1× 2.1k 1.5× 1.1k 1.3× 31 0.1× 308 1.3× 92 2.8k
Candida Petrogalli Italy 18 814 0.4× 704 0.5× 297 0.4× 51 0.2× 75 0.3× 66 1.0k
H.A. Richard Germany 24 2.5k 1.3× 1.6k 1.1× 785 0.9× 134 0.5× 436 1.8× 54 3.5k
C. Pinna United Kingdom 20 1.1k 0.6× 924 0.6× 502 0.6× 186 0.7× 222 0.9× 61 1.7k
Kay André Weidenmann Germany 25 1.2k 0.6× 932 0.6× 397 0.5× 198 0.8× 181 0.8× 177 1.9k
Chang Qi China 24 2.5k 1.2× 449 0.3× 435 0.5× 298 1.2× 987 4.2× 54 2.7k

Countries citing papers authored by Haohao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Haohao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haohao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Haohao Ding. A scholar is included among the top collaborators of Haohao 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 Haohao Ding. Haohao Ding 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.
Huang, H., et al.. (2025). Formation mechanism of white etching layers in pearlitic rail steels under continuous abrasion. Wear. 572-573. 206050–206050. 3 indexed citations
3.
Xie, YuLong, Wenjian Wang, Yuan Wang, et al.. (2024). Investigation on the influence of the slip at the wheel-rail contact patch on the shakedown limit of rail material. Engineering Failure Analysis. 166. 108881–108881. 2 indexed citations
4.
Galas, Radovan, Milan Omasta, Haohao Ding, et al.. (2024). A benchmarking methodology for top-of-rail products: Carry distance and retentivity. Tribology International. 197. 109810–109810. 2 indexed citations
5.
Wang, Wenjian, Haohao Ding, Zefeng Wen, et al.. (2024). Initiation and evolution of wheel polygonal wear: Influence of wheel-rail hardness ratios. Wear. 540-541. 205255–205255. 11 indexed citations
6.
Xie, YuLong, Zhiyong Shi, Haohao Ding, et al.. (2024). Influence of shear yield strength of rail material on the shakedown limit in shakedown map. Tribology International. 194. 109490–109490. 4 indexed citations
7.
Han, Zhi‐Yong, et al.. (2024). The correlation between material deformed microstructure and rolling contact fatigue crack propagation of U71Mn rail when matching with CL60 wheel. Tribology International. 200. 110069–110069. 7 indexed citations
8.
Li, Zheng, et al.. (2023). Friction-reducing and anti-wear performance of SiO2-Coated TiN nanoparticles in gear oil. Wear. 538-539. 205219–205219. 9 indexed citations
9.
Shi, Lubing, Jiaxin Li, Haohao Ding, et al.. (2023). Rheological and tribological performance of top-of-rail friction modifiers with different viscosities. Wear. 538-539. 205229–205229. 3 indexed citations
10.
Zhang, Hua, Wenjian Wang, Qiang Lin, et al.. (2023). Effect of third mediums on the formation and evolution of rail corrugation. Wear. 523. 204810–204810. 7 indexed citations
11.
Xiao, Qian, et al.. (2023). High-temperature tribological properties of coatings repaired by laser additive manufacturing on railway wheel tread damage. Wear. 520-521. 204674–204674. 15 indexed citations
12.
Wang, Xiaoming, et al.. (2023). Nonlocal thermomechanical coupled analysis of wheel-rail contact using a peridynamic model. Wear. 528-529. 204954–204954. 12 indexed citations
13.
Galas, Radovan, Milan Omasta, Haohao Ding, et al.. (2023). A benchmarking methodology for top-of-rail products. Tribology International. 189. 108910–108910. 3 indexed citations
14.
Shi, Lubing, Haohao Ding, Jun Guo, et al.. (2023). Influence of different solid particles in friction modifier on wheel-rail adhesion and damage behaviours. Wear. 522. 204833–204833. 7 indexed citations
15.
Ding, Haohao, Qiang Lin, Maksym Spiryagin, et al.. (2023). Experimental study on wheel-rail rolling contact fatigue damage starting from surface defects under various operational conditions. Tribology International. 181. 108324–108324. 14 indexed citations
16.
Ding, Haohao, et al.. (2023). Wear and damage behaviours of wheel and rail materials: Effects of friction modifier and environmental temperature. Wear. 523. 204796–204796. 12 indexed citations
17.
Galas, Radovan, Milan Omasta, Lubing Shi, et al.. (2022). The effect of top of rail lubricant composition on adhesion and rheological behaviour. Engineering Science and Technology an International Journal. 35. 101100–101100. 17 indexed citations
18.
Zhao, X.J., Haohao Ding, Maksym Spiryagin, et al.. (2021). Effects of dent size on the evolution process of rolling contact fatigue damage on defective rail. Wear. 477. 203894–203894. 21 indexed citations
19.
Shi, Lubing, Haohao Ding, Weijie Wang, et al.. (2021). Adhesion and damage characteristics of wheel/rail using different mineral particles as adhesion enhancers. Wear. 477. 203796–203796. 18 indexed citations
20.
Galas, Radovan, Milan Omasta, Lubing Shi, et al.. (2021). Asperity-based model for prediction of traction in water-contaminated wheel-rail contact. Tribology International. 157. 106900–106900. 18 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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