Daobing Chen

825 citations
34 papers · 682 · h-index 14

Impact in

Papers in

Daobing Chen

31 papers receiving 669 citations

Peers

Daobing Chen
Comparison fields: 5 of 65
  • Biomedical Engineering 448
  • Polymers and Plastics 112
  • Automotive Engineering 88
  • Cognitive Neuroscience 130
  • Bioengineering 36
Replace Jae‐Kang Kim with:
Jae‐Kang Kim South Korea
Qinwu Gao China
Siyuan Yao China
Chunbao Liu China
Kejun Wang China
Guangyong Li China
Siyuan Ma China
Gerda Buchberger Austria
Hongda Lu Australia
Hyeon Seok An South Korea
Daobing Chen relative to Jae‐Kang Kim South Korea Jae‐Kang Kim's profile →
Citations per field
00.5×1.5×2×2.3×
Jae‐Kang Kim · 1×
Citations per year

Countries citing papers authored by Daobing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daobing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020129
2 2016109
3 201862
4 202442
5 202141
6 201434
7 201932
8 202029
9 202022
10 201920
11 201918
12 202017
13 202416
14 202515
15 202214
16 201813
17 202310
18 20208
19 20248
20 20247

About Daobing Chen

Daobing Chen is a scholar working on Surfaces, Coatings and Films, Mechanical Engineering, Biomedical Engineering, Mechanics of Materials and Automotive Engineering, having authored 34 papers that have together received 682 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (13 papers), Advanced Materials and Mechanics (7 papers), Adhesion, Friction, and Surface Interactions (6 papers), Surface Modification and Superhydrophobicity (6 papers), Force Microscopy Techniques and Applications (4 papers), Tribology and Lubrication Engineering (3 papers), Fluid Dynamics and Heat Transfer (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Biomedical Engineering (448 citations), Polymers and Plastics (112 citations), Automotive Engineering (88 citations), Cognitive Neuroscience (130 citations) and Bioengineering (36 citations). Daobing Chen has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Zhiwu Han, Kejun Wang, Junqiu Zhang, Honglie Song, Shichao Niu, Luquan Ren, Shifeng Wen, Linpeng Liu, Yusheng Shi and Chunze Yan. Their work appears in journals such as Advanced Science, Advanced Functional Materials, Journal of Bionic Engineering, Chinese Journal of Mechanical Engineering and Science Advances.

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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