Kai‐Ge Zhou

5.2k citations
54 papers · 4.1k indexed · 3 hit papers · h-index 21
Topics
Graphene research and applications (26 papers)Membrane Separation Technologies (13 papers)2D Materials and Applications (10 papers)

In The Last Decade

Kai‐Ge Zhou

52 papers receiving 4.1k citations

Hit Papers

Improving gas sensing properties of graphene by introduci...20092026201420202009201120222505007501000

Peers

Kai‐Ge Zhou
Comparison fields: 5 of 86
  • Materials Chemistry 3.1k
  • Electrical and Electronic Engineering 2.1k
  • Biomedical Engineering 851
  • Renewable Energy, Sustainability and the Environment 461
  • Polymers and Plastics 327
Replace Enrique A. Dalchiele with:
Enrique A. Dalchiele Chile
Ming Yin China
Priscilla Kailian Ang Singapore
Jin Zhai China
Nidhi Sharma India
Nobuyoshi Miyamoto Japan
Hae‐Kyung Jeong United States
Chengdu Liang China
Federico J. Williams Argentina
Deliang Cui China
Kai‐Ge Zhou relative to Enrique A. Dalchiele Chile Enrique A. Dalchiele's profile →
Citations per field
00.5×1.5×2.5×
Enrique A. Dalchiele · 1×
Citations per year

Countries citing papers authored by Kai‐Ge Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Ge Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai‐Ge Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Ge Zhou. A scholar is included among the top collaborators of Kai‐Ge Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai‐Ge Zhou. Kai‐Ge Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 7
3 1
4 0
5 7
6 5
7 3
8 1
9
Covalent organic framework membranes for efficient separation of monovalent cationsbreakdown →
200
10 30
11 145
12 7
13 5
14 132
15 18
16 17
17 7
18
A Mixed‐Solvent Strategy for Efficient Exfoliation of Inorganic Graphene Analoguesbreakdown →
836
19 16
20 22

About Kai‐Ge Zhou

Kai‐Ge Zhou is a scholar working on Water Science and Technology, Materials Chemistry and Bioengineering, having authored 54 papers that have together received 4.1k indexed citations. Recurring topics across this work include Graphene research and applications (26 papers), Membrane Separation Technologies (13 papers) and 2D Materials and Applications (10 papers). The work is most often cited by research in Materials Chemistry (3.1k citations), Electrical and Electronic Engineering (2.1k citations) and Bioengineering (179 citations). Kai‐Ge Zhou has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Hao‐Li Zhang, Hang‐Xing Wang, Yonghui Zhang, Jing Zeng, Yong Peng, Yong Peng, Nannan Mao, Caihong Liu, Qiang Wang and Cinzia Casiraghi. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

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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