Guangneng Dong

501 total citations
33 papers, 403 citations indexed

About

Guangneng Dong is a scholar working on Mechanics of Materials, Mechanical Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Guangneng Dong has authored 33 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanics of Materials, 18 papers in Mechanical Engineering and 6 papers in Surfaces, Coatings and Films. Recurrent topics in Guangneng Dong's work include Tribology and Wear Analysis (16 papers), Adhesion, Friction, and Surface Interactions (11 papers) and Lubricants and Their Additives (9 papers). Guangneng Dong is often cited by papers focused on Tribology and Wear Analysis (16 papers), Adhesion, Friction, and Surface Interactions (11 papers) and Lubricants and Their Additives (9 papers). Guangneng Dong collaborates with scholars based in China, Hong Kong and Japan. Guangneng Dong's co-authors include Meng Hua, Dongya Zhang, John K. L. Ho, Hailin Lu, Zhang Hui, Ping Lin, Qunfeng Zeng, Liguo Qin, Jianhui Li and Shanshan Ren and has published in prestigious journals such as Langmuir, ACS Applied Materials & Interfaces and Journal of Materials Science.

In The Last Decade

Guangneng Dong

30 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangneng Dong China 13 253 219 105 58 51 33 403
Jiujun Xu China 13 338 1.3× 215 1.0× 119 1.1× 41 0.7× 20 0.4× 43 425
Korhan Şahin United States 7 255 1.0× 131 0.6× 155 1.5× 76 1.3× 109 2.1× 14 428
Chi Ma United States 11 354 1.4× 113 0.5× 189 1.8× 88 1.5× 63 1.2× 24 510
Hyun-Sik Hwang United States 7 188 0.7× 151 0.7× 89 0.8× 147 2.5× 133 2.6× 13 372
Yefa Tan China 10 181 0.7× 100 0.5× 160 1.5× 51 0.9× 126 2.5× 16 329
Junro Kyono Japan 10 337 1.3× 135 0.6× 252 2.4× 52 0.9× 63 1.2× 29 436
Woo-Il Lee South Korea 9 154 0.6× 156 0.7× 193 1.8× 55 0.9× 152 3.0× 22 418
Jinming Zhen China 14 471 1.9× 330 1.5× 154 1.5× 29 0.5× 34 0.7× 28 595
L. Chandra United Kingdom 10 99 0.4× 166 0.8× 182 1.7× 68 1.2× 57 1.1× 17 335

Countries citing papers authored by Guangneng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Guangneng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangneng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Guangneng Dong. A scholar is included among the top collaborators of Guangneng Dong 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 Guangneng Dong. Guangneng Dong 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.
Dong, Guangneng, et al.. (2025). Machine learning-aided wear location identification and friction optimization of textured artificial joint surfaces. Tribology International. 211. 110879–110879. 1 indexed citations
2.
Zhang, Hui, et al.. (2025). Numerical analysis of the influence of coating and texture on the performance of hybrid journal bearing. Tribology International. 212. 110975–110975.
3.
Li, Sheng, et al.. (2025). Microscopic insights into wetting-like spatiotemporal evolution of spontaneous ice and its tribological behavior. Tribology International. 213. 111040–111040.
4.
Li, Baotong, et al.. (2024). Stretch-Controlled Branch Shape Microstructures for Switchable Unidirectional Self-Driven Spreading of Oil Droplets. ACS Applied Materials & Interfaces. 16(31). 41694–41703. 32 indexed citations
5.
Kouediatouka, Ange Nsilani, et al.. (2024). Highly sensitive and Durable crack structures on Flexible, Friction-Resistant substrates. Applied Surface Science. 685. 161826–161826. 2 indexed citations
6.
Ma, Zeyu, Zeyuan Wang, Shan Lu, et al.. (2024). Icing and Adhesion Behaviors on Surfaces with Varied Lattice Constants. Langmuir. 40(37). 19853–19860. 8 indexed citations
7.
Wang, Ruizhi, Jiaqian Li, Guangneng Dong, et al.. (2023). Gallium-based liquid metal hybridizing MoS2 nanosheets with reversible rheological characteristics and enhanced lubrication properties. RSC Advances. 13(29). 20365–20372. 4 indexed citations
8.
Sun, Nannan, et al.. (2022). Effect of different Cu 6 Sn 5 morphology on the tribological properties of Babbitt alloy. Industrial Lubrication and Tribology. 74(5). 580–587. 5 indexed citations
9.
Ma, Zeyu, Xiaodong Zhang, Shan Lu, et al.. (2022). Tribological properties of flexible composite surfaces through direct ink writing for durable wearing devices. Surface and Coatings Technology. 441. 128573–128573. 14 indexed citations
10.
Zhang, Hui, et al.. (2021). Tribological Performances of Modified Babbitt Alloy Under Different Sliding Modes. Journal of Tribology. 143(6). 2 indexed citations
11.
Li, Xing, Chao Yan, Qi Liu, & Guangneng Dong. (2020). An In Situ Fabrication of CuGa2 Film on Copper Surface With Improved Tribological Properties. Journal of Tribology. 143(7). 8 indexed citations
12.
Qin, Liguo, Hao Yang, Mahshid Hafezi, et al.. (2019). Biomimetic surfaces with hierarchical structure using microsized texture and nanosized Cu particles for superhydrophobicity. Advanced Materials Letters. 10(8). 569–573. 2 indexed citations
13.
Dong, Guangneng, et al.. (2019). Effect of laser remelting on tribological properties of Babbitt alloy. Materials Research Express. 6(9). 96570–96570. 15 indexed citations
14.
Ma, Qiang, et al.. (2019). Tribological properties of carbon fabric reinforced phenolic-based composites containing CNTs@MoS2 hybrids. Journal of Materials Science. 54(23). 14354–14366. 18 indexed citations
15.
Ren, Shanshan, Leifeng Lv, Jun Ma, et al.. (2018). Slow-release lubrication effect of graphene oxide/poly(ethylene glycol) wrapped in chitosan/sodium glycerophosphate hydrogel applied on artificial joints. Materials Science and Engineering C. 98. 452–460. 18 indexed citations
16.
Ren, Shanshan, Hailin Lu, Yue Li, et al.. (2017). Graphene oxide/poly(ethylene glycol)/chitosan gel with slow‐release lubrication applied on textured surface. Journal of Applied Polymer Science. 135(10). 10 indexed citations
17.
Lu, Hailin, et al.. (2017). Laser textured Co-Cr-Mo alloy stored chitosan/poly(ethylene glycol) composite applied on artificial joints lubrication. Materials Science and Engineering C. 78. 239–245. 22 indexed citations
18.
Ho, John K. L., et al.. (2015). Fabrication self-recovery bulge textures on TiNi shape memory alloy and its tribological properties in lubricated sliding. Tribology International. 96. 11–22. 27 indexed citations
19.
Zhang, Dongya, Pengbo Zhang, Ping Lin, Guangneng Dong, & Qunfeng Zeng. (2013). Tribological Properties of Self-Lubricating Polymer–Steel Laminated Composites. Tribology Transactions. 56(6). 908–918. 9 indexed citations
20.

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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