Sheng Dai

94 total papers · 2.0k total citations
69 papers, 1.5k citations indexed

About

Sheng Dai is a scholar working on Mechanical Engineering, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Sheng Dai has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanical Engineering, 16 papers in Aerospace Engineering and 16 papers in Materials Chemistry. Recurrent topics in Sheng Dai's work include Aluminum Alloys Composites Properties (16 papers), Advanced materials and composites (16 papers) and High-Temperature Coating Behaviors (9 papers). Sheng Dai is often cited by papers focused on Aluminum Alloys Composites Properties (16 papers), Advanced materials and composites (16 papers) and High-Temperature Coating Behaviors (9 papers). Sheng Dai collaborates with scholars based in China, United States and Hong Kong. Sheng Dai's co-authors include Jiong Zhao, Jing Zhu, Jinfang Wang, Jie Chen, Suding Yan, Wei He, Cheng Yang, Yao Xiong, Gang Zhao and Liu Zhu and has published in prestigious journals such as Nano Letters, Journal of Applied Physics and Analytical Chemistry.

In The Last Decade

Sheng Dai

65 papers receiving 1.5k citations

Hit Papers

Effect of Cold-Spray Para... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Sheng Dai 685 667 284 259 194 69 1.5k
S.C. Danforth 540 0.8× 660 1.0× 270 1.0× 609 2.4× 145 0.7× 66 1.9k
Xinfeng Wang 418 0.6× 406 0.6× 352 1.2× 398 1.5× 138 0.7× 73 1.5k
Brian K. Paul 1.1k 1.6× 488 0.7× 368 1.3× 466 1.8× 129 0.7× 134 2.1k
Charalabos C. Doumanidis 1.0k 1.5× 555 0.8× 217 0.8× 221 0.9× 66 0.3× 117 1.8k
Godfrey Sauti 335 0.5× 860 1.3× 169 0.6× 372 1.4× 72 0.4× 49 1.4k
Huan Liu 694 1.0× 418 0.6× 308 1.1× 119 0.5× 70 0.4× 87 1.2k
Tingting Liu 1.5k 2.3× 387 0.6× 262 0.9× 235 0.9× 101 0.5× 102 2.2k
Ying Zhang 1.2k 1.7× 603 0.9× 117 0.4× 287 1.1× 36 0.2× 98 1.6k
Hanjun Gao 883 1.3× 377 0.6× 138 0.5× 313 1.2× 100 0.5× 57 1.3k
Zuming Liu 1.7k 2.5× 520 0.8× 403 1.4× 178 0.7× 44 0.2× 109 2.3k

Countries citing papers authored by Sheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Dai

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