Fu‐Zhi Dai

5.9k total citations · 3 hit papers
110 papers, 4.7k citations indexed

About

Fu‐Zhi Dai is a scholar working on Materials Chemistry, Mechanical Engineering and Ceramics and Composites. According to data from OpenAlex, Fu‐Zhi Dai has authored 110 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Materials Chemistry, 64 papers in Mechanical Engineering and 33 papers in Ceramics and Composites. Recurrent topics in Fu‐Zhi Dai's work include Advanced ceramic materials synthesis (32 papers), MXene and MAX Phase Materials (30 papers) and Advanced materials and composites (24 papers). Fu‐Zhi Dai is often cited by papers focused on Advanced ceramic materials synthesis (32 papers), MXene and MAX Phase Materials (30 papers) and Advanced materials and composites (24 papers). Fu‐Zhi Dai collaborates with scholars based in China, Japan and France. Fu‐Zhi Dai's co-authors include Huimin Xiang, Yanchun Zhou, Zifan Zhao, Yanchun Zhou, Zhijian Peng, Yanchun Zhou, Jiachen Liu, Heng Chen, Biao Zhao and Haiming Zhang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Fu‐Zhi Dai

105 papers receiving 4.6k 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.

(La0.2Ce0.2Nd0.2Sm0.2Eu0.2)2Zr2O7: A novel high-entropy ceramic with low thermal conductivity and sluggish grain growth rate

2019 346 citations Zifan Zhao, Huimin Xiang et al. Journal of Material Science and Technology profile →
High-entropy spinel ferrites MFe2O4 (M = Mg, Mn, Fe, Co, Ni, Cu, Zn) with tunable electromagnetic properties and strong microwave absorption

2022 189 citations Huimin Xiang, Fu‐Zhi Dai et al. Journal of Advanced Ceramics profile →
Theoretical prediction on thermal and mechanical properties of high entropy (Zr0.2Hf0.2Ti0.2Nb0.2Ta0.2)C by deep learning potential

2020 188 citations Fu‐Zhi Dai, Bo Wen et al. Journal of Material Science and Technology profile →

Peers

Countries citing papers authored by Fu‐Zhi Dai

Since Specialization

Citations

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

Fields of papers citing papers by Fu‐Zhi Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Zhi Dai. 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 Fu‐Zhi Dai. The network helps show where Fu‐Zhi Dai may publish in the future.

Co-authorship network of co-authors of Fu‐Zhi Dai

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

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Novel cast Mg-Ga-Li alloys with excellent strength-ductility balance and corrosion resistance	Journal of Alloys and Compounds	Zi-Lin Li, Zhang‐Zhi Shi et al.	0
2	Observation of dendrite formation at Li metal-electrolyte interface by a machine-learning enhanced constant potential framework	Nature Communications	Taiping Hu, Haichao Huang et al.	0
3	A new twinning mechanism induced by solute electronic structures	Materials Horizons	Wei Lai, Chongze Hu et al.	0
4	Transformation-induced plasticity in CeO2-ZrO2 ceramics: Atomic-scale insights using a deep neural network potential	Acta Materialia	Jinyu Zhang, Tristan Albaret et al.	2
5	Grain boundary engineering in Nickel-rich cathode: A combination of high-throughput first-principles and interpretable machine learning study	Acta Materialia	Yumeng Zhang, Bo Wen et al.	8
6	What drives the heterogeneous interdiffusion in the Li-Si interfacial region of Si anodes: the Li flux or the Si flux?	npj Computational Materials	Fangjia Fu, Xiaoxu Wang et al.	3
7	A deep neural network potential model for transition metal diborides		Fu‐Zhi Dai, Bo Wen et al.	3
8	A Highly Deficient Medium‐Entropy Perovskite Ceramic for Electromagnetic Interference Shielding under Harsh Environment	Advanced Materials	Yongping Liu, Ping Tuo et al.	29
9	Investigating interfacial segregation of Ω/Al in Al–Cu alloys: A comprehensive study using density functional theory and machine learning	Acta Materialia	Yin Zhang, Xingwu Li et al.	11
10	Oxidation resistant low‐alloyed Ti alloys with good ductility	Rare Metals	Meng Li, Zhang‐Zhi Shi et al.	2
11	Atomic-scale simulations in multi-component alloys and compounds: A review on advances in interatomic potential	Journal of Material Science and Technology	Feiyang Wang, Hong‐Hui Wu et al.	46
12	Dislocation-mediated migration of the α/β interfaces in titanium	Acta Materialia	Jinyu Zhang, Zhipeng Sun et al.	18
13	Automatic Screen‐out of Ir(III) Complex Emitters by Combined Machine Learning and Computational Analysis (Advanced Optical Materials 18/2023)	Advanced Optical Materials	Zheng Cheng, Jiapeng Liu et al.	0
14	Deep neural network potential for simulating hydrogen blistering in tungsten	Physical Review Materials	Xiaoyang Wang, Ke Xu et al.	9
15	Unraveling the Atomic‐scale Mechanism of Phase Transformations and Structural Evolutions during (de)Lithiation in Si Anodes	Advanced Functional Materials	Fangjia Fu, Xiaoxu Wang et al.	43
16	The highest melting point material: Searched by Bayesian global optimization with deep potential molecular dynamics	Journal of Advanced Ceramics	Yinan Wang, Bo Wen et al.	13
17	Orientation relationship prediction and interfacial structure of a nano-scale Si-Mg2Si core–shell precipitate in an aluminum alloy	Materials Letters	Zhijun Zhao, Xinfu Gu et al.	4
18	High entropy (Y0.2Yb0.2Lu0.2Eu0.2Er0.2)3Al5O12: A novel high temperature stable thermal barrier material	Journal of Material Science and Technology	Heng Chen, Zifan Zhao et al.	96
19	Reducing the Ideal Shear Strengths of ZrB2 by High Efficient Alloying Elements (Ag, Au, Pd and Pt)	Scientific Reports	Fu‐Zhi Dai, Yanchun Zhou	9
20	Identification of Secondary Dislocations by Singular Value Decomposition of the Nye Tensor	Acta Metallurgica Sinica (English Letters)	Fu‐Zhi Dai, Wenzheng Zhang	5

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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