Guoqing Dai

71 total papers · 901 total citations
51 papers, 615 citations indexed

About

Guoqing Dai is a scholar working on Mechanical Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Guoqing Dai has authored 51 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Mechanical Engineering, 28 papers in Materials Chemistry and 11 papers in Automotive Engineering. Recurrent topics in Guoqing Dai's work include Titanium Alloys Microstructure and Properties (23 papers), Additive Manufacturing Materials and Processes (23 papers) and High Entropy Alloys Studies (13 papers). Guoqing Dai is often cited by papers focused on Titanium Alloys Microstructure and Properties (23 papers), Additive Manufacturing Materials and Processes (23 papers) and High Entropy Alloys Studies (13 papers). Guoqing Dai collaborates with scholars based in China, Russia and United Kingdom. Guoqing Dai's co-authors include Yanhua Guo, Zhonggang Sun, Hui Chang, Wenya Li, Zhonggang Sun, Jingzhe Niu, Zhenhua Dan, Jinzhong Lu, Igor Alexandrov and Chinnapat Panwisawas and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Materials Science and Engineering A.

In The Last Decade

Guoqing Dai

42 papers receiving 598 citations

Author Peers

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

Author						Papers	Cites
Guoqing Dai	507	307	130	124	87	51	615
Chitoshi Masuda	438 0.9×	240 0.8×	189 1.5×	57 0.5×	67 0.8×	45	569
Yulia O. Kuzminova	495 1.0×	147 0.5×	72 0.6×	135 1.1×	167 1.9×	32	594
Meysam Toozandehjani	538 1.1×	240 0.8×	152 1.2×	49 0.4×	85 1.0×	30	689
Zhao Chen	273 0.5×	168 0.5×	112 0.9×	83 0.7×	42 0.5×	48	602
Piotr Maj	576 1.1×	285 0.9×	101 0.8×	252 2.0×	49 0.6×	34	691
S. Shiva	515 1.0×	259 0.8×	56 0.4×	198 1.6×	77 0.9×	29	694
Jingtao Han	559 1.1×	248 0.8×	194 1.5×	97 0.8×	83 1.0×	66	674
Irena Paulin	413 0.8×	325 1.1×	103 0.8×	82 0.7×	64 0.7×	52	571
Maryam Mohri	418 0.8×	422 1.4×	72 0.6×	76 0.6×	29 0.3×	50	638
Avwerosuoghene Moses Okoro	392 0.8×	224 0.7×	97 0.7×	34 0.3×	47 0.5×	35	498

Countries citing papers authored by Guoqing Dai

Since Specialization

Citations

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

Fields of papers citing papers by Guoqing Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqing Dai

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