Daobing Chen

710 citations
29 papers · 579 · h-index 14

Impact in

Papers in

Daobing Chen

27 papers receiving 571 citations

Peers

Daobing Chen
Comparison fields: 5 of 62
  • Biomedical Engineering 407
  • Polymers and Plastics 107
  • Cognitive Neuroscience 126
  • Bioengineering 36
  • Automotive Engineering 75
Replace Jae‐Kang Kim with:
Jae‐Kang Kim South Korea
Siyuan Yao China
Jining Sun China
Jean Won Kwak United States
Kejun Wang China
Chunbao Liu China
Jiangtao Su China
Florian Hartmann Austria
Siyuan Ma China
Wen-Tse Hsiao Taiwan
Daobing Chen relative to Jae‐Kang Kim South Korea Jae‐Kang Kim's profile →
Citations per field
00.5×1.5×2.1×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 2016106
3 201860
4 202136
5 201930
6 201428
7 202426
8 202023
9 201918
10 202017
11 201916
12 202015
13 202413
14 201813
15 20239
16 20229
17 20248
18 20207
19 20246
20 20224

About Daobing Chen

Daobing Chen is a scholar working on Biomedical Engineering, Mechanical Engineering, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 29 papers that have together received 579 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (13 papers), Advanced Materials and Mechanics (6 papers), Adhesion, Friction, and Surface Interactions (5 papers), Force Microscopy Techniques and Applications (4 papers), Mechanical and Optical Resonators (3 papers), Fluid Dynamics and Heat Transfer (3 papers), Surface Modification and Superhydrophobicity (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Biomedical Engineering (407 citations), Polymers and Plastics (107 citations), Cognitive Neuroscience (126 citations), Bioengineering (36 citations) and Automotive Engineering (75 citations). Daobing Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiwu Han, Kejun Wang, Junqiu Zhang, Honglie Song, Shichao Niu, Luquan Ren, Shifeng Wen, Linpeng Liu, Chunze Yan and Yusheng Shi. Their work appears in journals such as Advanced Science, Advanced Functional Materials, Materials Advances, Chinese Journal of Mechanical Engineering and Journal of Laser Applications.

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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