Daolin Ma

26 papers receiving 500 citations

Peers

Daolin Ma
Comparison fields: 5 of 76
  • Control and Systems Engineering 206
  • General Engineering 10
  • Cognitive Neuroscience 155
  • Mechanics of Materials 118
  • Biomedical Engineering 207
Replace Ye He with:
Ye He China
Christophe Giraud-Audine France
Shin-Ichiro NISHIDA Japan
Gabriele Cazzulani Italy
Yan-Bin Jia United States
André Preumont Belgium
Huijie Shen China
Mircea Bădescu United States
Henry A. Scarton United States
Daolin Ma relative to Ye He China Ye He's profile →
Citations per field
00.5×7.0×
Ye He · 1×
Citations per year

Countries citing papers authored by Daolin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Daolin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 201965
3 201461
4 201552
5 202131
6 202028
7 202225
8 201923
9 201420
10 202312
11 201911
12 201611
13 202111
14 201410
15 20219
16 20188
17 20186
18 20146
19 20245
20 20235

About Daolin Ma

Daolin Ma is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanics of Materials, Mechanical Engineering and Cognitive Neuroscience, having authored 27 papers that have together received 516 indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (10 papers), Robot Manipulation and Learning (6 papers), Tactile and Sensory Interactions (6 papers), Mechanical stress and fatigue analysis (5 papers), Sports Dynamics and Biomechanics (5 papers), Railway Engineering and Dynamics (4 papers), Soft Robotics and Applications (4 papers) and Granular flow and fluidized beds (4 papers). The work is most often cited by research in Control and Systems Engineering (206 citations), General Engineering (10 citations), Cognitive Neuroscience (155 citations), Mechanics of Materials (118 citations) and Biomedical Engineering (207 citations). Daolin Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Caishan Liu, Alberto Rodríguez, Siyuan Dong, Elliott Donlon, Yan-Bin Jia, Jingmang Xu, Ping Wang, Yang Liu, Gengxiang Wang and Jiayin Chen. Their work appears in journals such as Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Applied Mechanics, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and Soft Robotics.

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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