Kancheng Mai

2.8k total citations
119 papers, 2.5k citations indexed

About

Kancheng Mai is a scholar working on Polymers and Plastics, Biomaterials and Mechanical Engineering. According to data from OpenAlex, Kancheng Mai has authored 119 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Polymers and Plastics, 80 papers in Biomaterials and 8 papers in Mechanical Engineering. Recurrent topics in Kancheng Mai's work include Polymer crystallization and properties (92 papers), biodegradable polymer synthesis and properties (79 papers) and Polymer Nanocomposites and Properties (77 papers). Kancheng Mai is often cited by papers focused on Polymer crystallization and properties (92 papers), biodegradable polymer synthesis and properties (79 papers) and Polymer Nanocomposites and Properties (77 papers). Kancheng Mai collaborates with scholars based in China, Bangladesh and Iran. Kancheng Mai's co-authors include Zishou Zhang, Hanmin Zeng, Chunguang Wang, Youji Tao, Zhugen Yang, Juan Jiang, Qian Ding, Zhidan Lin, Chunyan Chen and Yuhai Wang and has published in prestigious journals such as Advanced Materials, Journal of Power Sources and Macromolecules.

In The Last Decade

Kancheng Mai

117 papers receiving 2.4k citations

Peers

Kancheng Mai
Comparison fields: 5 of 88
  • Polymers and Plastics 2.0k
  • Biomaterials 1.2k
  • Materials Chemistry 338
  • Biomedical Engineering 265
  • Mechanical Engineering 234
Replace Hossein Nazockdast with:
Hossein Nazockdast Iran
Seong Ok Han South Korea
Young‐Wook Chang South Korea
J. I. Eguiazábal Spain
Chifei Wu China
Seung Goo Lee South Korea
Jin‐Hae Chang South Korea
Jinyao Chen China
Zhishen Mo China
Francisco J. Medellín‐Rodríguez Mexico
Hossein Nazockdast Iran View profile →
Citations per field, relative to Kancheng Mai
Kancheng Mai · 1×
Citations per year, relative to Kancheng Mai
Kancheng Mai · 1×

Countries citing papers authored by Kancheng Mai

Since Specialization
Citations

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

Fields of papers citing papers by Kancheng Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kancheng Mai

This figure shows the co-authorship network connecting the top 25 collaborators of Kancheng Mai. A scholar is included among the top collaborators of Kancheng Mai 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 Kancheng Mai. Kancheng Mai 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
# Work Indexed citations
1 16
2 10
3 16
4 12
5 13
6 2
7 10
8 48
9 22
10 7
11 84
12 1
13 10
14 18
15 14
16 22
17 24
18 11
19 50
20 1

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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