Jianwei Dai

52 total papers · 964 total citations
45 papers, 778 citations indexed

About

Jianwei Dai is a scholar working on Biomaterials, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Jianwei Dai has authored 45 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomaterials, 27 papers in Materials Chemistry and 22 papers in Mechanical Engineering. Recurrent topics in Jianwei Dai's work include Magnesium Alloys: Properties and Applications (33 papers), Aluminum Alloys Composites Properties (21 papers) and Corrosion Behavior and Inhibition (16 papers). Jianwei Dai is often cited by papers focused on Magnesium Alloys: Properties and Applications (33 papers), Aluminum Alloys Composites Properties (21 papers) and Corrosion Behavior and Inhibition (16 papers). Jianwei Dai collaborates with scholars based in China, Hong Kong and Australia. Jianwei Dai's co-authors include Xiaobo Zhang, Chenglin Chu, Kai Chen, Qiangsheng Dong, Zhixin Ba, Feng Xue, Jing Bai, N. Birbilis, Zhangzhong Wang and Linyuan Han and has published in prestigious journals such as Journal of The Electrochemical Society, Chemosphere and Journal of Materials Science.

In The Last Decade

Jianwei Dai

40 papers receiving 770 citations

Author Peers

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

Author						Papers	Cites
Jianwei Dai	656	507	465	126	82	45	778
Iniobong P. Etim	526 0.8×	446 0.9×	404 0.9×	71 0.6×	162 2.0×	28	747
A. A. Komissarov	340 0.5×	520 1.0×	603 1.3×	156 1.2×	73 0.9×	79	874
Matsufumi TAKAYA	236 0.4×	446 0.9×	258 0.6×	150 1.2×	103 1.3×	59	705
Zhentao Yu	344 0.5×	501 1.0×	426 0.9×	144 1.1×	150 1.8×	55	755
Qiang Zhang	416 0.6×	361 0.7×	318 0.7×	53 0.4×	140 1.7×	26	640
Violeta Tsakiris	336 0.5×	390 0.8×	399 0.9×	113 0.9×	154 1.9×	26	677
Shun-Yi Jian	385 0.6×	504 1.0×	312 0.7×	122 1.0×	71 0.9×	39	693
Wei Li	560 0.9×	460 0.9×	403 0.9×	84 0.7×	179 2.2×	22	725
Yinying Sheng	273 0.4×	406 0.8×	379 0.8×	134 1.1×	126 1.5×	21	674
Donghui Yang	269 0.4×	413 0.8×	591 1.3×	152 1.2×	102 1.2×	33	909

Countries citing papers authored by Jianwei Dai

Since Specialization

Citations

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

Fields of papers citing papers by Jianwei Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianwei Dai

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