Kewang Nan

4.2k citations
44 papers · 2.1k · h-index 23

Impact in

Papers in

Kewang Nan

41 papers receiving 2.1k citations

Peers

Kewang Nan
Comparison fields: 5 of 117
  • Biomedical Engineering 1.3k
  • Mechanical Engineering 763
  • Polymers and Plastics 267
  • Cellular and Molecular Neuroscience 256
  • Surfaces, Coatings and Films 77
Replace Hangbo Zhao with:
Hangbo Zhao United States
Xuemin Du China
Haiwen Luan United States
Xueju Wang United States
Rui Guo China
Wubin Bai United States
Emil Karshalev United States
Nazek El‐Atab Saudi Arabia
Yong Lin Kong United States
Rujie Sun China
Kewang Nan relative to Hangbo Zhao United States Hangbo Zhao's profile →
Citations per field
00.5×10×17.3×
Hangbo Zhao · 1×
Citations per year

Countries citing papers authored by Kewang Nan

Since Specialization
Citations

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

Fields of papers citing papers by Kewang Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016247
2 2018244
3 2018224
4 2019167
5 2013151
6 2016125
7 201683
8 202274
9 201663
10 201360
11 202159
12 202259
13 201957
14 201652
15 201650
16 201744
17 201935
18 201735
19 201929
20 202327

About Kewang Nan

Kewang Nan is a scholar working on Biomedical Engineering, Mechanical Engineering, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Materials Chemistry, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (20 papers), Advanced Materials and Mechanics (14 papers), Neuroscience and Neural Engineering (7 papers), 3D Printing in Biomedical Research (7 papers), Modular Robots and Swarm Intelligence (4 papers), Photoreceptor and optogenetics research (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Biomedical Engineering (1.3k citations), Mechanical Engineering (763 citations), Polymers and Plastics (267 citations), Cellular and Molecular Neuroscience (256 citations) and Surfaces, Coatings and Films (77 citations). Kewang Nan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yonggang Huang, Yihui Zhang, Zheng Yan, John A. Rogers, Haiwen Luan, Mengdi Han, Abdul‐Rahman O. Raji, James M. Tour, Jian Lin and Paul Le Floch. Their work appears in journals such as Advanced Functional Materials, Extreme Mechanics Letters, Nature Communications, Nano Letters and Advanced Materials.

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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