Jichun Dai

23 total papers · 661 total citations
19 papers, 560 citations indexed

About

Jichun Dai is a scholar working on Mechanical Engineering, Biomaterials and Aerospace Engineering. According to data from OpenAlex, Jichun Dai has authored 19 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 13 papers in Biomaterials and 10 papers in Aerospace Engineering. Recurrent topics in Jichun Dai's work include Aluminum Alloys Composites Properties (15 papers), Magnesium Alloys: Properties and Applications (13 papers) and Aluminum Alloy Microstructure Properties (10 papers). Jichun Dai is often cited by papers focused on Aluminum Alloys Composites Properties (15 papers), Magnesium Alloys: Properties and Applications (13 papers) and Aluminum Alloy Microstructure Properties (10 papers). Jichun Dai collaborates with scholars based in China, Australia and United States. Jichun Dai's co-authors include Guohua Wu, Wenjiang Ding, Mark Easton, Wencai Liu, Liming Peng, Suming Zhu, Cunlong Wang, Liang Zhang, Haiyan Yang and Xingwu Guo and has published in prestigious journals such as Materials Science and Engineering A, Applied Surface Science and Journal of Alloys and Compounds.

In The Last Decade

Jichun Dai

19 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
Jichun Dai	419	318	229	188	81	19	560
Baixing Liu	142 0.3×	146 0.5×	70 0.3×	384 2.0×	182 2.2×	24	588
Songlin Mu	132 0.3×	129 0.4×	74 0.3×	491 2.6×	115 1.4×	23	603
Emmanuelle S. Freitas	488 1.2×	100 0.3×	363 1.6×	370 2.0×	58 0.7×	23	660
Longjiang Zou	247 0.6×	35 0.1×	149 0.7×	348 1.9×	69 0.9×	28	624
Cheng Wang	338 0.8×	46 0.1×	250 1.1×	191 1.0×	36 0.4×	23	503
M. Shahmiri	326 0.8×	41 0.1×	295 1.3×	378 2.0×	143 1.8×	25	589
Y. Reda	194 0.5×	22 0.1×	138 0.6×	334 1.8×	48 0.6×	18	592
D. S. Kharitonov	106 0.3×	99 0.3×	72 0.3×	453 2.4×	45 0.6×	30	589
Aleksandra Gavrilović-Wohlmuther	236 0.6×	41 0.1×	53 0.2×	262 1.4×	59 0.7×	30	591
Donya Ahmadkhaniha	509 1.2×	324 1.0×	58 0.3×	276 1.5×	85 1.0×	21	671

Countries citing papers authored by Jichun Dai

Since Specialization

Citations

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

Fields of papers citing papers by Jichun Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jichun Dai

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