Kai Dai

41 total papers · 642 total citations
38 papers, 466 citations indexed

About

Kai Dai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Kai Dai has authored 38 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 20 papers in Electrical and Electronic Engineering and 20 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Kai Dai's work include Ferroelectric and Piezoelectric Materials (18 papers), Multiferroics and related materials (12 papers) and Microwave Dielectric Ceramics Synthesis (9 papers). Kai Dai is often cited by papers focused on Ferroelectric and Piezoelectric Materials (18 papers), Multiferroics and related materials (12 papers) and Microwave Dielectric Ceramics Synthesis (9 papers). Kai Dai collaborates with scholars based in China, United States and Australia. Kai Dai's co-authors include Zhigao Hu, Genshui Wang, Zhen Liu, Tengfei Hu, Yujun Shi, Haonan Peng, Zhengqian Fu, Kai Jiang, Teng Lü and Jinzhong Zhang and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Kai Dai

36 papers receiving 454 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kai Dai	394	258	165	162	36	38	466
Narit Triamnak	433 1.1×	203 0.8×	168 1.0×	195 1.2×	20 0.6×	56	515
Chang‐Hak Choi	430 1.1×	325 1.3×	127 0.8×	220 1.4×	24 0.7×	22	520
Hyo Sung Kim	267 0.7×	233 0.9×	121 0.7×	103 0.6×	23 0.6×	43	405
Chang‐Ching Tu	336 0.9×	240 0.9×	82 0.5×	188 1.2×	68 1.9×	44	540
D.S.L. Pontes	369 0.9×	237 0.9×	140 0.8×	111 0.7×	41 1.1×	34	428
Pengxian Lu	372 0.9×	283 1.1×	181 1.1×	127 0.8×	24 0.7×	32	520
A. J. M. Sales	326 0.8×	260 1.0×	130 0.8×	121 0.7×	28 0.8×	50	488
Anxiang Kuang	503 1.3×	343 1.3×	144 0.9×	87 0.5×	36 1.0×	28	548
S. V. Rempel	332 0.8×	142 0.6×	79 0.5×	95 0.6×	36 1.0×	48	421
Vikash Chandra Petwal	243 0.6×	185 0.7×	102 0.6×	68 0.4×	26 0.7×	45	447

Countries citing papers authored by Kai Dai

Since Specialization

Citations

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

Fields of papers citing papers by Kai Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Dai. A scholar is included among the top collaborators of Kai 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 Kai Dai. Kai 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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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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