Jun Ding

6.6k total citations · 6 hit papers
94 papers, 4.6k citations indexed

About

Jun Ding is a scholar working on Mechanical Engineering, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, Jun Ding has authored 94 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Mechanical Engineering, 45 papers in Materials Chemistry and 24 papers in Aerospace Engineering. Recurrent topics in Jun Ding's work include Metallic Glasses and Amorphous Alloys (37 papers), High Entropy Alloys Studies (30 papers) and High-Temperature Coating Behaviors (24 papers). Jun Ding is often cited by papers focused on Metallic Glasses and Amorphous Alloys (37 papers), High Entropy Alloys Studies (30 papers) and High-Temperature Coating Behaviors (24 papers). Jun Ding collaborates with scholars based in China, United States and Singapore. Jun Ding's co-authors include E. Ma, Robert O. Ritchie, Mark Asta, Yongqiang Cheng, Qin Yu, Sylvain Patinet, Michael L. Falk, Sheng Yin, H. W. Sheng and Zhao Fan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jun Ding

88 papers receiving 4.5k citations

Hit Papers

Tunable stacking fault energies by tailoring local chemic... 2014 2026 2018 2022 2018 2014 2021 2023 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ding China 34 3.6k 2.3k 1.2k 807 555 94 4.6k
Yun-Jiang Wang China 34 2.7k 0.7× 2.0k 0.9× 568 0.5× 777 1.0× 341 0.6× 167 3.6k
Q.P. Cao China 35 3.1k 0.8× 1.8k 0.8× 653 0.5× 899 1.1× 330 0.6× 158 3.6k
Qiaoshi Zeng China 38 3.6k 1.0× 2.7k 1.2× 1.4k 1.1× 831 1.0× 431 0.8× 153 5.7k
Bengt Hallstedt Germany 41 3.0k 0.8× 2.5k 1.1× 871 0.7× 520 0.6× 303 0.5× 145 4.6k
A. D. Stoica United States 33 2.7k 0.7× 1.9k 0.8× 529 0.4× 453 0.6× 342 0.6× 128 4.0k
L. Battezzati Italy 33 3.4k 0.9× 2.6k 1.1× 890 0.7× 613 0.8× 217 0.4× 234 4.6k
Olga Fabrichnaya Germany 35 2.3k 0.6× 2.5k 1.1× 941 0.8× 1.3k 1.6× 153 0.3× 212 4.3k
D.J. Sordelet United States 35 2.3k 0.6× 2.5k 1.1× 910 0.7× 773 1.0× 147 0.3× 124 3.7k
A. Lindsay Greer United Kingdom 20 3.8k 1.0× 2.3k 1.0× 324 0.3× 1.4k 1.7× 415 0.7× 45 4.4k
Hans Léo Lukas Germany 37 3.5k 0.9× 2.4k 1.0× 1.1k 0.9× 846 1.0× 432 0.8× 124 5.1k

Countries citing papers authored by Jun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ding. A scholar is included among the top collaborators of Jun 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 Jun Ding. Jun 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.
Cheng, Qing, W.Q. Ming, Jun Ding, et al.. (2025). Amplifying Suzuki segregation and hardening in a concentrated solid solution alloy. Journal of Material Science and Technology. 232. 156–169. 2 indexed citations
2.
Zhang, Bozhao, et al.. (2025). Quantifying the local compositional fluctuation and Shannon entropy inherent in multi-principal element alloys. Scripta Materialia. 259. 116559–116559. 3 indexed citations
3.
Wang, Zewen, Kaijin Wu, Jun Ding, et al.. (2025). Strut‐Buckling Transformation Enabling Anomalous Density‐Scaling Toughening Law in Ultralight Lattice Metamaterials. Advanced Materials. 37(27). e2419635–e2419635. 4 indexed citations
5.
Ma, E. & Jun Ding. (2024). Compositional fluctuation and local chemical ordering in multi-principal element alloys. Journal of Material Science and Technology. 220. 233–244. 4 indexed citations
7.
Zhang, Bozhao, et al.. (2024). Minimizing the diffusivity difference between vacancies and interstitials in multi-principal element alloys. Proceedings of the National Academy of Sciences. 121(5). e2314248121–e2314248121. 8 indexed citations
8.
Liu, Chang, Zhongji Sun, Wenjun Lu, et al.. (2024). Near-theoretical strength and deformation stabilization achieved via grain boundary segregation and nano-clustering of solutes. Nature Communications. 15(1). 9283–9283. 26 indexed citations
9.
Chen, Yujie, Yan Fang, Xiaoxing Ke, et al.. (2024). The origin of exceptionally large ductility in molybdenum alloys dispersed with irregular-shaped La2O3 nano-particles. Nature Communications. 15(1). 20 indexed citations
10.
Zhang, Bozhao, Libo Fu, Zhanxin Wang, et al.. (2023). Chemical inhomogeneity–induced profuse nanotwinning and phase transformation in AuCu nanowires. Nature Communications. 14(1). 5705–5705. 23 indexed citations
11.
Wang, Zhangjie, Jun Ding, Mark Asta, et al.. (2023). Origin of the high propensity for nanoscale deformation twins in CrCoNi medium-entropy alloy. Journal of Material Science and Technology. 183. 63–71. 13 indexed citations
12.
Wang, Liang, Jun Ding, Songshen Chen, et al.. (2023). Tailoring planar slip to achieve pure metal-like ductility in body-centred-cubic multi-principal element alloys. Nature Materials. 22(8). 950–957. 215 indexed citations breakdown →
13.
Zhang, Zhen, Zhengxiong Su, Bozhao Zhang, et al.. (2023). Effect of local chemical order on the irradiation-induced defect evolution in CrCoNi medium-entropy alloy. Proceedings of the National Academy of Sciences. 120(15). e2218673120–e2218673120. 39 indexed citations
14.
Yin, Sheng, et al.. (2022). Anomalous size effect on yield strength enabled by compositional heterogeneity in high-entropy alloy nanoparticles. Nature Communications. 13(1). 2789–2789. 56 indexed citations
15.
Yin, Sheng, Yunxing Zuo, Anas Abu-Odeh, et al.. (2021). Atomistic simulations of dislocation mobility in refractory high-entropy alloys and the effect of chemical short-range order. Nature Communications. 12(1). 4873–4873. 272 indexed citations breakdown →
16.
Ding, Jun & Zhangjie Wang. (2021). Local Chemical Order in High-Entropy Alloys. Acta Metallurgica Sinica. 57(4). 413–424. 5 indexed citations
17.
Ding, Jun, Lin Li, Liang Tian, et al.. (2021). Universal nature of the saddle states of structural excitations in metallic glasses. Materials Today Physics. 17. 100359–100359. 29 indexed citations
18.
Yin, Sheng, Jun Ding, Mark Asta, & Robert O. Ritchie. (2020). Ab initio modeling of the energy landscape for screw dislocations in body-centered cubic high-entropy alloys. npj Computational Materials. 6(1). 75 indexed citations
19.
Ding, Jun, Yongqiang Cheng, H. W. Sheng, et al.. (2016). Universal structural parameter to quantitatively predict metallic glass properties. Nature Communications. 7(1). 13733–13733. 135 indexed citations
20.
Cheng, Yongqiang, Jun Ding, & E. Ma. (2012). Local Topology vs. Atomic-Level Stresses as a Measure of Disorder: Correlating Structural Indicators for Metallic Glasses. Materials Research Letters. 1(1). 3–12. 75 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026