Sen Ding

1.2k citations
30 papers · 958 · h-index 14

Impact in

Papers in

Sen Ding

29 papers receiving 951 citations

Peers

Sen Ding
Comparison fields: 5 of 65
  • Surfaces, Coatings and Films 190
  • Biomedical Engineering 751
  • Cognitive Neuroscience 317
  • Human-Computer Interaction 79
  • Polymers and Plastics 156
Replace Yangchengyi Liu with:
Yangchengyi Liu China
Bing Yi Ji China
Hyukho Kwon South Korea
Min‐gu Kim South Korea
Sung‐Hun Ha South Korea
Hyeongho Min South Korea
Yidong Peng China
Nam‐Su Jang South Korea
Ganguang Yang China
Yin He China
Sen Ding relative to Yangchengyi Liu China Yangchengyi Liu's profile →
Citations per field
00.5×2×2.8×
Yangchengyi Liu · 1×
Citations per year

Countries citing papers authored by Sen Ding

Since Specialization
Citations

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

Fields of papers citing papers by Sen Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021172
2 2022135
3 2020105
4 2021103
5 2023103
6 202269
7 202234
8 202228
9 202225
10 202325
11 202322
12 202420
13 202419
14 202215
15 202514
16 202312
17 202112
18 202211
19 20238
20 20237

About Sen Ding

Sen Ding is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Human-Computer Interaction, Surfaces, Coatings and Films and Mechanical Engineering, having authored 30 papers that have together received 958 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (23 papers), Tactile and Sensory Interactions (16 papers), Surface Modification and Superhydrophobicity (6 papers), Interactive and Immersive Displays (6 papers), Advanced Materials and Mechanics (4 papers), Adhesion, Friction, and Surface Interactions (3 papers), Muscle activation and electromyography studies (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (190 citations), Biomedical Engineering (751 citations), Cognitive Neuroscience (317 citations), Human-Computer Interaction (79 citations) and Polymers and Plastics (156 citations). Sen Ding has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Bingpu Zhou, Ziyi Dai, Ming Lei, Yinning Zhou, Yi Xu, Shunbo Li, Bing Yi Ji, Qian Zhou, Yibo Gao and Mingrui Wang. Their work appears in journals such as Chemical Engineering Journal, Advanced Functional Materials, ACS Nano, Small and Materials Today Bio.

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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