Yuan Dai

943 total citations
36 papers, 775 citations indexed

About

Yuan Dai is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Yuan Dai has authored 36 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 8 papers in Electronic, Optical and Magnetic Materials and 8 papers in Materials Chemistry. Recurrent topics in Yuan Dai's work include Dyeing and Modifying Textile Fibers (5 papers), Metal complexes synthesis and properties (5 papers) and Extraction and Separation Processes (4 papers). Yuan Dai is often cited by papers focused on Dyeing and Modifying Textile Fibers (5 papers), Metal complexes synthesis and properties (5 papers) and Extraction and Separation Processes (4 papers). Yuan Dai collaborates with scholars based in China, Singapore and Nepal. Yuan Dai's co-authors include Weidong Zhang, Zhongqi Ren, Chunhua Cui, Feng Fu, Xiaoming Gao, Yiming Liu, Yu Zhang, Hui‐Fen Qian, Can Feng and Zhihong Xu and has published in prestigious journals such as Applied Physics Letters, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Yuan Dai

35 papers receiving 753 citations

Peers

Yuan Dai
Comparison fields: 5 of 83
  • Mechanical Engineering 261
  • Water Science and Technology 232
  • Biomedical Engineering 156
  • Materials Chemistry 127
  • Organic Chemistry 121
Replace Eric Meux with:
Eric Meux France
Suzimara Rovani Brazil
Omirserik Baigenzhenov Kazakhstan
Meisam Ansarpour Iran
Saurabh Sharma India
Ali Aghababai Beni Iran
Cínthia S. Castro Brazil
Sagar Ban Nepal
S. Jeyaseelan India
Eduardo Soto‐Regalado Mexico
Eric Meux France View profile →
Citations per field, relative to Yuan Dai
Yuan Dai · 1×
Citations per year, relative to Yuan Dai
Yuan Dai · 1×

Countries citing papers authored by Yuan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Dai. A scholar is included among the top collaborators of Yuan 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 Yuan Dai. Yuan 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 1
2 1
3 1
4 1
5 0
6 2
7 8
8 8
9 8
10 187
11 17
12 3
13 3
14 13
15 4
16 4
17 58
18 34
19 113
20 44

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