Dayou Li

861 citations
71 papers · 657 · h-index 13

Impact in

Papers in

Dayou Li

64 papers receiving 637 citations

Peers

Dayou Li
Comparison fields: 5 of 101
  • Surfaces, Coatings and Films 110
  • Fluid Flow and Transfer Processes 43
  • Industrial and Manufacturing Engineering 64
  • Control and Systems Engineering 130
  • Computational Mechanics 105
Replace Changhui Wang with:
Changhui Wang China
Jaehong Park South Korea
Yusheng Liu China
V. Srinivasan United States
Yilin Wang China
Manish Kumar Bajpai India
Cong Shen China
F. Ramos Spain
H. Schuster Germany
Guillaume J. Laurent France
Dayou Li relative to Changhui Wang China Changhui Wang's profile →
Citations per field
00.5×6.4×
Changhui Wang · 1×
Citations per year

Countries citing papers authored by Dayou Li

Since Specialization
Citations

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

Fields of papers citing papers by Dayou Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dayou Li, 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 Dayou Li Line = papers co-authored together Dayou Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 201343
3 201343
4 201940
5 201640
6 201632
7 202222
8 201121
9 201920
10 201519
11 201419
12 201417
13 201616
14 202012
15 201711
16 201310
17 201710
18 20229
19 20129
20 20108

About Dayou Li

Dayou Li is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Mechanics, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 657 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (8 papers), Optical Coatings and Gratings (8 papers), Laser Material Processing Techniques (7 papers), Surface Roughness and Optical Measurements (7 papers), Robotic Path Planning Algorithms (7 papers), Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (6 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Surfaces, Coatings and Films (110 citations), Fluid Flow and Transfer Processes (43 citations), Industrial and Manufacturing Engineering (64 citations), Control and Systems Engineering (130 citations) and Computational Mechanics (105 citations). Dayou Li has collaborated with scholars based in United Kingdom, China and France. Frequent co-authors include Renxi Qiu, Heqing Sun, Zhongsheng Hou, Zuobin Wang, Carsten Maple, Yong Yue, Dapeng Wang, Zhankun Weng, Litong Dong and Zhijun Peng. Their work appears in journals such as ACS Omega, Journal of Applied Physics, Applied Physics Letters, Applied Surface Science and Optics & Laser Technology.

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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