Ye Dai

4.9k citations
192 papers · 2.4k · 1 hit paper · h-index 25

Impact in

Papers in

Ye Dai

173 papers receiving 2.3k citations

Ye Dai's Hit Papers

Ultrafast Laser Direct Writing Nanogratings and their Engineering in Transparent Materials 2024 · 65 citations
650+1Years since publication204060

Peers

Ye Dai
Comparison fields: 5 of 111
  • Ceramics and Composites 405
  • Computational Mechanics 944
  • Ophthalmology 168
  • Materials Chemistry 852
  • Biomedical Engineering 782
Replace Tayyab I. Suratwala with:
Tayyab I. Suratwala United States
В. Н. Сигаев Russia
Thierry Cardinal France
S. Orlando Italy
Florence Garrelie France
R. K. Singh United States
Koichi Kajihara Japan
P.M. Ossi Italy
Markus Rettenmayr Germany
Charles R. Kurkjian United States
Ye Dai relative to Tayyab I. Suratwala United States Tayyab I. Suratwala's profile →
Citations per field
00.5×1.7×
Tayyab I. Suratwala · 1×
Citations per year

Countries citing papers authored by Ye Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ye Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ye Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ye Dai Line = papers co-authored together Ye Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007308
2 2008120
3 201186
4 200975
5 200771
6
Ultrafast Laser Direct Writing Nanogratings and their Engineering in Transparent Materials
Hit paper breakdown →
202465
7 200751
8 200849
9 200846
10 199745
11 200745
12 200743
13 200843
14 202243
15 201139
16 201635
17 201530
18 201230
19 202129
20 201729

About Ye Dai

Ye Dai is a scholar working on Computational Mechanics, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering, having authored 192 papers that have together received 2.4k indexed citations. Recurring topics across this work include Laser Material Processing Techniques (81 papers), Nonlinear Optical Materials Studies (37 papers), Glass properties and applications (34 papers), Advanced Fiber Laser Technologies (26 papers), Laser-induced spectroscopy and plasma (20 papers), Laser-Matter Interactions and Applications (19 papers), Advanced Surface Polishing Techniques (17 papers) and Ocular and Laser Science Research (17 papers). The work is most often cited by research in Ceramics and Composites (405 citations), Computational Mechanics (944 citations), Ophthalmology (168 citations), Materials Chemistry (852 citations) and Biomedical Engineering (782 citations). Ye Dai has collaborated with scholars based in China, France and United States. Frequent co-authors include Guohong Ma, Jianrong Qiu, Bo Lü, Hongjuan Ma, Hongliang Ma, Jilin Yang, Jianrong Qiu, Juan Song, Bin Zhu and Xiaona Yan. Their work appears in journals such as Optics Express, Applied Physics A, Applied Physics B, Optics Letters and Applied Surface Science.

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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