Changxin Wang

2.1k total citations · 3 hit papers
19 papers, 1.7k citations indexed

About

Changxin Wang is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Aerospace Engineering. According to data from OpenAlex, Changxin Wang has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 6 papers in Renewable Energy, Sustainability and the Environment and 5 papers in Aerospace Engineering. Recurrent topics in Changxin Wang's work include Machine Learning in Materials Science (6 papers), Advanced Photocatalysis Techniques (5 papers) and High-Temperature Coating Behaviors (4 papers). Changxin Wang is often cited by papers focused on Machine Learning in Materials Science (6 papers), Advanced Photocatalysis Techniques (5 papers) and High-Temperature Coating Behaviors (4 papers). Changxin Wang collaborates with scholars based in China, United States and Russia. Changxin Wang's co-authors include Yanjing Su, Cheng Wen, Dezhen Xue, Stoichko Antonov, Yang Bai, Turab Lookman, Yan Zhang, Lan-Hong Dai, Yan Zhang and Yan Zhang and has published in prestigious journals such as Acta Materialia, ACS Applied Materials & Interfaces and Journal of Materials Chemistry A.

In The Last Decade

Changxin Wang

18 papers receiving 1.6k 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.

Machine learning assisted design of high entropy alloys with desired property

2019 687 citations Cheng Wen, Yan Zhang et al. Acta Materialia profile →
Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models

2019 348 citations Yan Zhang, Cheng Wen et al. Acta Materialia profile →
Modeling solid solution strengthening in high entropy alloys using machine learning

2021 185 citations Cheng Wen, Changxin Wang et al. Acta Materialia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changxin Wang China	13	978	928	469	287	193	19	1.7k
Ziyuan Rao Germany	17	1.3k 1.3×	541 0.6×	696 1.5×	111 0.4×	147 0.8×	35	1.6k
Alberto Ferrari Germany	15	702 0.7×	451 0.5×	370 0.8×	160 0.6×	93 0.5×	28	1.2k
Zongrui Pei United States	25	2.1k 2.1×	1.3k 1.3×	859 1.8×	113 0.4×	443 2.3×	60	2.7k
Yao Shen China	28	1.3k 1.3×	1.3k 1.4×	300 0.6×	427 1.5×	656 3.4×	112	2.3k
Henrik Larsson Sweden	22	1.1k 1.1×	572 0.6×	533 1.1×	192 0.7×	246 1.3×	81	1.5k
Lan-Hong Dai China	11	1.0k 1.1×	458 0.5×	574 1.2×	68 0.2×	214 1.1×	21	1.3k
Masahiko Demura Japan	22	794 0.8×	893 1.0×	114 0.2×	123 0.4×	152 0.8×	121	1.4k
Ruiwen Xie Germany	12	459 0.5×	443 0.5×	177 0.4×	103 0.4×	81 0.4×	34	834
Kevin J. Laws Australia	23	1.3k 1.4×	1.1k 1.1×	181 0.4×	137 0.5×	95 0.5×	65	1.8k
Hideo Miura Japan	25	693 0.7×	681 0.7×	135 0.3×	926 3.2×	545 2.8×	231	2.0k

Countries citing papers authored by Changxin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Changxin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changxin Wang

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

All Works

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19 of 19 papers shown

Yang, Mei, et al.. (2025). Machine learning assisted screening of non-metal doped MXenes catalysts for hydrogen evolution reaction. International Journal of Hydrogen Energy. 113. 740–748. 8 indexed citations

Wen, Cheng, Yan Zhang, Changxin Wang, et al.. (2024). Machine-Learning-Assisted Compositional Design of Refractory High-Entropy Alloys with Optimal Strength and Ductility. Engineering. 46. 214–223. 17 indexed citations

He, Jingjin, Ruowei Yin, Changxin Wang, et al.. (2024). Compositional design of compounds with elements not in training data using supervised learning. Journal of Materiomics. 11(3). 100913–100913.

Wang, Changxin, et al.. (2023). Indexing high-noise electron backscatter diffraction patterns using convolutional neural network and transfer learning. Computational Materials Science. 233. 112718–112718. 2 indexed citations

Wang, Changxin, Mei Yang, Shuo Cao, et al.. (2023). Regulation mechanisms of electron-delocalized single transition metal-doped Mo2CO2 MXene hydrogen evolution reaction catalysts. Physical Review Materials. 7(8). 4 indexed citations

He, Jingjin, Changxin Wang, Junjie Li, et al.. (2023). Machine learning assisted prediction of dielectric temperature spectrum of ferroelectrics. Journal of Advanced Ceramics. 12(9). 1793–1804. 14 indexed citations

Jiang, Lipeng, Xue Jiang, Mei Yang, et al.. (2023). Developing and optimizing novel Cr³⁺-activated inorganic NIR phosphors by combining triple-objective optimization and crystal field engineering. Inorganic Chemistry Frontiers. 11(2). 487–497. 14 indexed citations

He, Jingjin, Xiaopo Su, Changxin Wang, et al.. (2022). Machine learning assisted predictions of multi-component phase diagrams and fine boundary information. Acta Materialia. 240. 118341–118341. 37 indexed citations

Wang, Changxin, Xiao‐Xu Wang, Tianyao Zhang, et al.. (2022). A descriptor for the design of 2D MXene hydrogen evolution reaction electrocatalysts. Journal of Materials Chemistry A. 10(35). 18195–18205. 54 indexed citations

10.

Wang, Changxin, Yan Zhang, Cheng Wen, et al.. (2022). Symbolic regression in materials science via dimension-synchronous-computation. Journal of Material Science and Technology. 122. 77–83. 23 indexed citations

11.

He, Jingjin, Xiaopo Su, Changxin Wang, et al.. (2022). Machine Learning Assisted Predictions of Multi-Component Phase Diagrams and Fine Boundary Information. SSRN Electronic Journal. 2 indexed citations

12.

Jiang, Lipeng, Xue Jiang, Changxin Wang, et al.. (2022). Rapid Discovery of Efficient Long-Wavelength Emission Garnet:Cr NIR Phosphors via Multi-Objective Optimization. ACS Applied Materials & Interfaces. 14(46). 52124–52133. 43 indexed citations

13.

Jiang, Lipeng, Xue Jiang, Yan Zhang, et al.. (2022). Multiobjective Machine Learning-Assisted Discovery of a Novel Cyan–Green Garnet: Ce Phosphors with Excellent Thermal Stability. ACS Applied Materials & Interfaces. 14(13). 15426–15436. 54 indexed citations

14.

Liu, Chuanbao, Changxin Wang, Junhong Chen, et al.. (2022). Ultrasensitive Frequency Shifting of Dielectric Mie Resonance near Metallic Substrate. Research. 2022. 9862974–9862974. 4 indexed citations

15.

Wen, Cheng, Changxin Wang, Yan Zhang, et al.. (2021). Modeling solid solution strengthening in high entropy alloys using machine learning. Acta Materialia. 212. 116917–116917. 185 indexed citations breakdown →

16.

He, Jingjin, Junjie Li, Chuanbao Liu, et al.. (2021). Machine learning identified materials descriptors for ferroelectricity. Acta Materialia. 209. 116815–116815. 72 indexed citations

17.

Wang, Xiao‐Xu, Changxin Wang, Yuan Ma, et al.. (2020). Accelerating 2D MXene catalyst discovery for the hydrogen evolution reaction by computer-driven workflow and an ensemble learning strategy. Journal of Materials Chemistry A. 8(44). 23488–23497. 103 indexed citations

18.

Wen, Cheng, Yan Zhang, Changxin Wang, et al.. (2019). Machine learning assisted design of high entropy alloys with desired property. Acta Materialia. 170. 109–117. 687 indexed citations breakdown →

19.

Zhang, Yan, Cheng Wen, Changxin Wang, et al.. (2019). Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models. Acta Materialia. 185. 528–539. 348 indexed citations breakdown →

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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