Xianbao Duan

934 total citations
42 papers, 744 citations indexed

About

Xianbao Duan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Xianbao Duan has authored 42 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Xianbao Duan's work include Nuclear Materials and Properties (8 papers), Catalytic Processes in Materials Science (5 papers) and Fusion materials and technologies (5 papers). Xianbao Duan is often cited by papers focused on Nuclear Materials and Properties (8 papers), Catalytic Processes in Materials Science (5 papers) and Fusion materials and technologies (5 papers). Xianbao Duan collaborates with scholars based in China, United States and South Korea. Xianbao Duan's co-authors include Bin Shan, Rong Chen, Yanwei Wen, Jiaqiang Yang, L.H. Liu, Bing Zhou, Jianjun Huang, Chunyan Yu, Wei–Bing Liao and Huamin Zhou and has published in prestigious journals such as Chemical Engineering Journal, The Journal of Physical Chemistry C and Journal of Materials Chemistry A.

In The Last Decade

Xianbao Duan

39 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianbao Duan China 12 391 260 210 111 109 42 744
Dong Pan China 18 279 0.7× 427 1.6× 230 1.1× 289 2.6× 69 0.6× 37 855
Thiago J. Mesquita France 11 531 1.4× 203 0.8× 202 1.0× 68 0.6× 38 0.3× 16 848
Qiwei Shi China 16 417 1.1× 193 0.7× 398 1.9× 58 0.5× 63 0.6× 46 824
Jingde Zhang China 18 391 1.0× 257 1.0× 284 1.4× 69 0.6× 58 0.5× 61 880
Ravindran Sujith India 17 356 0.9× 222 0.9× 295 1.4× 56 0.5× 106 1.0× 46 742
Jing Tian China 19 374 1.0× 171 0.7× 539 2.6× 99 0.9× 54 0.5× 47 807
Lukuan Cheng China 15 378 1.0× 395 1.5× 355 1.7× 102 0.9× 105 1.0× 24 926
Shiwei Chen China 12 271 0.7× 255 1.0× 159 0.8× 70 0.6× 62 0.6× 38 582
Xiong Yang China 17 448 1.1× 320 1.2× 109 0.5× 241 2.2× 54 0.5× 57 860
Xixun Shen China 17 417 1.1× 321 1.2× 123 0.6× 126 1.1× 24 0.2× 47 752

Countries citing papers authored by Xianbao Duan

Since Specialization
Citations

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

Fields of papers citing papers by Xianbao Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianbao Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Xianbao Duan. A scholar is included among the top collaborators of Xianbao Duan 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 Xianbao Duan. Xianbao Duan 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.
2.
Duan, Xianyin, Xianyin Duan, Yang Chen, et al.. (2025). Improved Grain Boundary Reconstruction Method Based on Channel Attention Mechanism. Materials. 18(2). 253–253.
3.
Wu, Feifeng, Xianbao Duan, Zhaojie Wang, et al.. (2024). Development of a multi-element neural network modified lattice inversion potential and application to the Ta-He system. Computational Materials Science. 237. 112899–112899.
4.
Wang, Xiali, et al.. (2024). Trimetallic FeNiCo layered double hydroxide catalysts for industrial-level electrochemical glycerol upgrading. Chemical Engineering Journal. 501. 157435–157435. 9 indexed citations
5.
Duan, Xianbao, Yuzheng Li, Liuqing Chen, et al.. (2024). Exploring the impact of separation wall characteristics on Pt particle sintering inhibition: A theoretical study. Journal of Catalysis. 437. 115638–115638. 1 indexed citations
6.
Li, Yuzheng, Xianbao Duan, Zhang Liu, et al.. (2024). Theoretical insights into Pt–Rh alloy nanoparticles: stability, elemental distribution, and catalytic mechanisms for NO + CO reactions. Catalysis Science & Technology. 14(21). 6286–6297. 1 indexed citations
7.
Chen, Liuqing, Jiaqiang Yang, Zhipeng Zhang, et al.. (2023). High throughput screening of noble Metal-Free High-Entropy alloys catalysts for selective catalytic oxidation of NH3. Applied Surface Science. 628. 157354–157354. 8 indexed citations
8.
Duan, Xianbao, et al.. (2023). Atomistic simulation of local chemical order in NbTiZrMoV high entropy alloy based on a newly-developed interatomic potential. Computational Materials Science. 227. 112269–112269. 4 indexed citations
9.
10.
Xie, Feng, Jianzhu Cao, Jiejuan Tong, et al.. (2022). Electronic property and effective diffusion coefficient calculation model of hydrogen isotopes in multicomponent steel 2.25Cr1Mo from first-principles calculations. Journal of Nuclear Materials. 574. 154182–154182. 3 indexed citations
11.
Li, Shiping, et al.. (2022). Study on the CNN model optimization for household garbage classification based on machine learning. Journal of Ambient Intelligence and Smart Environments. 14(6). 439–454. 5 indexed citations
12.
13.
Duan, Xianbao, et al.. (2021). A systematic investigation on quaternary NbTiZr-based refractory high entropy alloys using empirical parameters and first principles calculations. Modelling and Simulation in Materials Science and Engineering. 29(7). 75002–75002. 6 indexed citations
14.
Wu, Feifeng, Jiaqiang Yang, Xianbao Duan, et al.. (2021). Development of an interatomic potential for Fe-He by neural network. Computational Materials Science. 196. 110549–110549. 5 indexed citations
15.
Guo, Mingming, et al.. (2020). Structural optimization and melting behavior investigation of Pd-Ag bimetallic nanoparticles by molecular simulations. Computational Materials Science. 176. 109520–109520. 4 indexed citations
16.
Zhang, Zhuoran, Yulong Sun, Xianbao Duan, et al.. (2019). Design and synthesis of room temperature stable Li-argyrodite superionic conductors via cation doping. Journal of Materials Chemistry A. 7(6). 2717–2722. 65 indexed citations
17.
Liu, Zhitian, Xiaolu Zhang, Peng Ren, et al.. (2019). Pyran-bridged A-D-A type small molecular acceptors for organic solar cells. Solar Energy. 183. 463–468. 15 indexed citations
18.
Wen, Yanwei, Xiao Liu, Xianbao Duan, et al.. (2015). Theoretical Study of Li-Doped sp2–sp3 Hybrid Carbon Network for Hydrogen Storage. The Journal of Physical Chemistry C. 119(28). 15831–15838. 6 indexed citations
19.
Liao, Dunming, et al.. (2012). Numerical Simulation of Stress Field in Casting Solidification Process Based on Abaqus. Journal of Computational and Theoretical Nanoscience. 9(9). 1462–1466. 2 indexed citations
20.
Wang, Weichao, Wenjuan Yang, Rong Chen, et al.. (2011). Investigation of band offsets of interface BiOCl:Bi2WO6: a first-principles study. Physical Chemistry Chemical Physics. 14(7). 2450–2450. 30 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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