Guoqing Dai

932 total citations
51 papers, 641 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 641 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 Aluminum Alloys Composites Properties (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 Aluminum Alloys Composites Properties (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

43 papers receiving 619 citations

Peers

Guoqing Dai
Comparison fields: 5 of 29
  • Mechanical Engineering 529
  • Materials Chemistry 316
  • Mechanics of Materials 133
  • Automotive Engineering 126
  • Aerospace Engineering 89
Replace N. Yuvaraj with:
N. Yuvaraj India
Yulia O. Kuzminova Russia
Pengcheng Huo China
Maryam Mohri Iran
Moustafa M. Mohammed Egypt
Qingquan Zhang China
Chitoshi Masuda Japan
Wenfei Peng China
Xudong Rong China
N. Yuvaraj India View profile →
Citations per field, relative to Guoqing Dai
Guoqing Dai · 1×
Citations per year, relative to Guoqing Dai
Guoqing Dai · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 0
6 0
7 5
8 5
9 1
10 17
11 20
12 4
13 16
14 23
15 40
16 20
17 24
18 57
19 41
20 45

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026