Zhenyu Dai

430 total citations
14 papers, 336 citations indexed

About

Zhenyu Dai is a scholar working on Materials Chemistry, Civil and Structural Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhenyu Dai has authored 14 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 2 papers in Civil and Structural Engineering and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Zhenyu Dai's work include Carbon and Quantum Dots Applications (4 papers), 2D Materials and Applications (2 papers) and MXene and MAX Phase Materials (2 papers). Zhenyu Dai is often cited by papers focused on Carbon and Quantum Dots Applications (4 papers), 2D Materials and Applications (2 papers) and MXene and MAX Phase Materials (2 papers). Zhenyu Dai collaborates with scholars based in China, United States and Saudi Arabia. Zhenyu Dai's co-authors include Xin He, Xixiang Zhang, Peng Li, Hai Li, Udo Schwingenschlögl, Zhiyong Zhu, Yang Yang, Peng Yang, Qiang Zhang and Zhenwei Wang and has published in prestigious journals such as Applied Physics Letters, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Zhenyu Dai

13 papers receiving 324 citations

Peers

Zhenyu Dai
Comparison fields: 5 of 65
  • Materials Chemistry 269
  • Electrical and Electronic Engineering 92
  • Biomedical Engineering 79
  • Electronic, Optical and Magnetic Materials 19
  • Renewable Energy, Sustainability and the Environment 17
Replace Aly Okasha with:
Aly Okasha Egypt
Xiaoman Ma China
Xianzhi Song China
Yinyin Zhu China
Md Ashraful Islam Bangladesh
Harutyun Gyulasaryan Armenia
Thomas A. R. Purcell Germany
Peng Ren China
Dewen Yang China
Aly Okasha Egypt View profile →
Citations per field, relative to Zhenyu Dai
Zhenyu Dai · 1×
Citations per year, relative to Zhenyu Dai
Zhenyu Dai · 1×

Countries citing papers authored by Zhenyu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Dai. A scholar is included among the top collaborators of Zhenyu 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 Zhenyu Dai. Zhenyu Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 5
3 12
4 12
5 3
6 5
7 6
8 3
9 9
10 45
11 157
12 7
13 70
14
[Application of multi-voxel proton magnetic resonance spectroscopy in different hippocampal regions of normal cognitive people].
2

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