Shaocong Dai

50 total papers · 1.2k total citations
45 papers, 1.0k citations indexed

About

Shaocong Dai is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Shaocong Dai has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Fluid Flow and Transfer Processes, 16 papers in Computational Mechanics and 15 papers in Materials Chemistry. Recurrent topics in Shaocong Dai's work include Rheology and Fluid Dynamics Studies (26 papers), Material Dynamics and Properties (14 papers) and Granular flow and fluidized beds (12 papers). Shaocong Dai is often cited by papers focused on Rheology and Fluid Dynamics Studies (26 papers), Material Dynamics and Properties (14 papers) and Granular flow and fluidized beds (12 papers). Shaocong Dai collaborates with scholars based in Australia, China and New Zealand. Shaocong Dai's co-authors include R. I. Tanner, Fuzhong Qi, Yiu‐Wing Mai, Wenyi Yan, Hong-Yuan Liu, Jun Ma, Zhong‐Zhen Yu, Erwan Bertevas, Mingshu Yang and Xusheng Du and has published in prestigious journals such as Composites Science and Technology, Journal of Applied Polymer Science and Physics of Fluids.

In The Last Decade

Shaocong Dai

45 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Shaocong Dai	367	318	314	276	264	45	1.0k
José Pérez‐González	576 1.6×	198 0.6×	299 1.0×	177 0.6×	169 0.6×	77	1.2k
C. D. Denson	367 1.0×	93 0.3×	418 1.3×	174 0.6×	82 0.3×	23	819
D.M. Binding	869 2.4×	78 0.2×	405 1.3×	391 1.4×	114 0.4×	31	1.1k
Chr. Friedrich	378 1.0×	290 0.9×	662 2.1×	40 0.1×	109 0.4×	36	1.2k
S.L. Rough	249 0.7×	95 0.3×	69 0.2×	296 1.1×	79 0.3×	46	855
R. Durairaj	154 0.4×	164 0.5×	256 0.8×	52 0.2×	108 0.4×	72	1.2k
H. Potente	483 1.3×	67 0.2×	471 1.5×	213 0.8×	337 1.3×	102	1.2k
G. Mageshwaran	116 0.3×	172 0.5×	53 0.2×	123 0.4×	135 0.5×	38	1.1k
A. García‐Rejón	270 0.7×	108 0.3×	513 1.6×	87 0.3×	123 0.5×	54	885
Abhishek Shetty	201 0.5×	155 0.5×	92 0.3×	146 0.5×	31 0.1×	44	933

Countries citing papers authored by Shaocong Dai

Since Specialization

Citations

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

Fields of papers citing papers by Shaocong Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaocong Dai

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