De-Ye Lin

2.0k total citations · 1 hit paper
58 papers, 1.5k citations indexed

About

De-Ye Lin is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, De-Ye Lin has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Materials Chemistry, 32 papers in Mechanical Engineering and 17 papers in Aerospace Engineering. Recurrent topics in De-Ye Lin's work include High Entropy Alloys Studies (17 papers), High-Temperature Coating Behaviors (12 papers) and Nuclear Materials and Properties (10 papers). De-Ye Lin is often cited by papers focused on High Entropy Alloys Studies (17 papers), High-Temperature Coating Behaviors (12 papers) and Nuclear Materials and Properties (10 papers). De-Ye Lin collaborates with scholars based in China, United States and Ukraine. De-Ye Lin's co-authors include Haifeng Song, Xidong Hui, Xingyu Gao, William Yi Wang, Zi‐Kui Liu, C.T. Liu, Xueyan Zhu, Xingjun Liu, Jinshan Li and Junhua Luan and has published in prestigious journals such as Science, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

De-Ye Lin

56 papers receiving 1.5k citations

Hit Papers

Ultrahigh-strength and ductile superlattice alloys with n... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De-Ye Lin China 21 1.1k 787 551 175 127 58 1.5k
Bi‐Cheng Zhou United States 16 840 0.8× 760 1.0× 416 0.8× 162 0.9× 73 0.6× 43 1.2k
M. Li United States 19 786 0.7× 1.1k 1.4× 430 0.8× 201 1.1× 82 0.6× 47 1.6k
Lu Xie China 21 968 0.9× 492 0.6× 738 1.3× 199 1.1× 103 0.8× 49 1.4k
Jan Wróbel Poland 21 1.3k 1.2× 805 1.0× 781 1.4× 189 1.1× 181 1.4× 61 1.8k
Haibo Long China 20 1.2k 1.1× 536 0.7× 538 1.0× 161 0.9× 330 2.6× 77 1.5k
Yeqiang Bu China 17 805 0.8× 628 0.8× 377 0.7× 235 1.3× 122 1.0× 41 1.2k
Binglun Yin Switzerland 16 1.6k 1.5× 1.0k 1.3× 729 1.3× 387 2.2× 145 1.1× 31 2.1k
Fei Zhang China 18 1.1k 1.0× 516 0.7× 690 1.3× 175 1.0× 95 0.7× 55 1.4k
Xing Gong China 26 1.0k 1.0× 1.3k 1.7× 828 1.5× 226 1.3× 50 0.4× 74 1.9k
Cláudio Geraldo Schön Brazil 20 957 0.9× 550 0.7× 289 0.5× 284 1.6× 91 0.7× 104 1.3k

Countries citing papers authored by De-Ye Lin

Since Specialization
Citations

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

Fields of papers citing papers by De-Ye Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De-Ye Lin. 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 De-Ye Lin. The network helps show where De-Ye Lin may publish in the future.

Co-authorship network of co-authors of De-Ye Lin

This figure shows the co-authorship network connecting the top 25 collaborators of De-Ye Lin. A scholar is included among the top collaborators of De-Ye Lin 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 De-Ye Lin. De-Ye Lin 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.
Xu, Yuanji, De-Ye Lin, Qingchun Wang, et al.. (2025). HTEM: High-throughput toolkit for elasticity modeling. Computer Physics Communications. 316. 109814–109814.
2.
Li, Wenyue, Xiongjun Liu, Qing Du, et al.. (2025). Revealing atomic strengthening mechanism in CoNiV medium-entropy alloy via machine learning-guided simulations. Journal of Material Science and Technology. 238. 66–77. 1 indexed citations
3.
Jiang, Bo, Krishna Chaitanya Pitike, De-Ye Lin, et al.. (2023). Local cation ordering in compositionally complex Ruddlesden–Popper n = 1 oxides. APL Materials. 11(5). 6 indexed citations
4.
Lin, De-Ye, et al.. (2023). Transportation pathway of oxygen in the cage-to-cage network of barium–strontium aluminosilicates. Ceramics International. 49(10). 16235–16244. 3 indexed citations
5.
Wang, William Yi, Peixuan Li, Xingyu Gao, et al.. (2022). Electronic structures and strengthening mechanisms of superhard high‐entropy diborides. Rare Metals. 42(2). 614–628. 24 indexed citations
6.
Fang, Hao, Peixuan Li, De-Ye Lin, et al.. (2021). Effect of High Strain Rate on Adiabatic Shearing of α+β Dual-Phase Ti Alloy. Materials. 14(8). 2044–2044. 3 indexed citations
7.
Liu, Xiongjun, Zhifeng Lei, De-Ye Lin, et al.. (2021). Chemical short-range ordering and its strengthening effect in refractory high-entropy alloys. Physical review. B.. 103(10). 46 indexed citations
8.
Yang, Tao, Yilu Zhao, Wanpeng Li, et al.. (2020). Ultrahigh-strength and ductile superlattice alloys with nanoscale disordered interfaces. Science. 369(6502). 427–432. 301 indexed citations breakdown →
9.
Jiang, Bo, Craig A. Bridges, Raymond R. Unocic, et al.. (2020). Probing the Local Site Disorder and Distortion in Pyrochlore High-Entropy Oxides. Journal of the American Chemical Society. 143(11). 4193–4204. 95 indexed citations
10.
Wang, William Yi, Bin Tang, De-Ye Lin, et al.. (2020). A brief review of data-driven ICME for intelligently discovering advanced structural metal materials: Insight into atomic and electronic building blocks. Journal of materials research/Pratt's guide to venture capital sources. 35(8). 872–889. 28 indexed citations
11.
Lu, Zhichao, Xin Chen, Xiongjun Liu, et al.. (2020). Interpretable machine-learning strategy for soft-magnetic property and thermal stability in Fe-based metallic glasses. npj Computational Materials. 6(1). 70 indexed citations
12.
Wu, Yidong, Qinjia Wang, De-Ye Lin, et al.. (2020). Phase Stability and Deformation Behavior of TiZrHfNbO High-Entropy Alloys. Frontiers in Materials. 7. 20 indexed citations
13.
Wang, William Yi, Chengxiong Zou, De-Ye Lin, et al.. (2019). Interstitial triggered grain boundary embrittlement of Al–X (X = H, N and O). Computational Materials Science. 163. 241–247. 9 indexed citations
14.
Tang, Jian, William Yi Wang, De-Ye Lin, et al.. (2019). Activation volume dominated diffusivity of Ni50Al50 melt under extreme conditions. Computational Materials Science. 171. 109263–109263. 7 indexed citations
15.
Tian, Fuyang, De-Ye Lin, Xingyu Gao, et al.. (2018). A structural modeling approach to the solid-solution materials. arXiv (Cornell University). 2 indexed citations
16.
Wang, William Yi, Ying Zhang, Jinshan Li, et al.. (2018). Insight into solid-solution strengthened bulk and stacking faults properties in Ti alloys: a comprehensive first-principles study. Journal of Materials Science. 53(10). 7493–7505. 23 indexed citations
17.
Tian, Fuyang, De-Ye Lin, Hongquan Song, et al.. (2018). A structural modeling approach to the solid-solution materials based on the similar atomic environment. arXiv (Cornell University). 1 indexed citations
18.
Jiang, Bo, et al.. (2018). Structural Disorder and Coherence across the Phase Transitions of Lead-Free Piezoelectric Bi0.5K0.5TiO3. Chemistry of Materials. 30(8). 2631–2640. 22 indexed citations
19.
Wang, William Yi, Jun Wang, De-Ye Lin, et al.. (2017). Revealing the Microstates of Body-Centered-Cubic (BCC) Equiatomic High Entropy Alloys. Journal of Phase Equilibria and Diffusion. 38(4). 404–415. 25 indexed citations
20.
Song, Haifeng, et al.. (2017). A scalable parallel framework for microstructure analysis of large-scale molecular dynamics simulations data. Computational Materials Science. 144. 322–330. 3 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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