Kai Meng

1.8k citations
35 papers · 1.4k · 1 hit paper · h-index 11

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 8
    • Silk-based biomaterials and applications 6
    • Wound Healing and Treatments 7

Kai Meng

31 papers receiving 1.4k citations

Kai Meng's Hit Papers

Graphene aerogels for efficient energy storage and conversion 2018 · 655 citations
6550+2+5Years since publication200400600

Peers

Kai Meng
Comparison fields: 5 of 96
  • Surfaces, Coatings and Films 204
  • Biomaterials 307
  • Electronic, Optical and Magnetic Materials 324
  • Renewable Energy, Sustainability and the Environment 239
  • Polymers and Plastics 184
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Yong Shen China
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Xiao Sun China
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Kai Meng relative to Yong Shen China Yong Shen's profile →
Citations per field
00.5×1.5×2.4×
Yong Shen · 1×
Citations per year

Countries citing papers authored by Kai Meng

Since Specialization
Citations

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

Fields of papers citing papers by Kai Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Graphene aerogels for efficient energy storage and conversion
Hit paper breakdown →
2018655
2 2017245
3 2017153
4 2016111
5 202044
6 202134
7 202132
8 201930
9 202422
10 202113
11 200813
12 202110
13 202110
14 20229
15 20237
16 20247
17 20227
18 20237
19 20125
20 20175

About Kai Meng

Kai Meng is a scholar working on Biomaterials, Rehabilitation, Surgery, Polymers and Plastics and Mechanical Engineering, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (8 papers), Wound Healing and Treatments (7 papers), Silk-based biomaterials and applications (6 papers), Surgical Sutures and Adhesives (4 papers), Hemostasis and retained surgical items (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Textile materials and evaluations (3 papers) and Metallurgy and Material Forming (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (204 citations), Biomaterials (307 citations), Electronic, Optical and Magnetic Materials (324 citations), Renewable Energy, Sustainability and the Environment (239 citations) and Polymers and Plastics (184 citations). Kai Meng has collaborated with scholars based in China, Singapore and India. Frequent co-authors include Jianying Huang, Yuekun Lai, Jiajun Mao, Zhiqun Lin, James Iocozzia, Ke‐Qin Zhang, Changjian Lin, Yuxin Tang, Zhong Chen and Mingzheng Ge. Their work appears in journals such as Journal of Biomaterials Applications, International Journal of Biological Macromolecules, Textile Research Journal, Energy & Environmental Science and Polymer Engineering and Science.

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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