Kun Lian

1.7k citations
52 papers · 1.4k · h-index 23

Impact in

Papers in

Kun Lian

50 papers receiving 1.4k citations

Peers

Kun Lian
Comparison fields: 5 of 71
  • Bioengineering 332
  • Electrochemistry 128
  • Electrical and Electronic Engineering 946
  • Biomedical Engineering 627
  • Metals and Alloys 35
Replace M.A. Signore with:
M.A. Signore Italy
V. Parkhutik Spain
B. Adolphi Germany
P. C. Andricacos United States
H. Cesiulis Lithuania
Dennis Tench United States
P.T.A. Sumodjo Brazil
Jurga Juodkazytė Lithuania
A. Varea Spain
Marielle Eyraud France
Kun Lian relative to M.A. Signore Italy M.A. Signore's profile →
Citations per field
00.5×8.8×
M.A. Signore · 1×
Citations per year

Countries citing papers authored by Kun Lian

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017191
2 2002117
3 2002103
4 201897
5 201676
6 200661
7 201858
8 200050
9 200046
10 200545
11 201738
12 201535
13 201429
14 199629
15 200229
16 200327
17 201427
18 201727
19 201725
20 201625

About Kun Lian

Kun Lian is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Mechanics of Materials and Bioengineering, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (12 papers), Analytical Chemistry and Sensors (9 papers), Advanced Chemical Sensor Technologies (9 papers), Metal and Thin Film Mechanics (8 papers), Advanced MEMS and NEMS Technologies (8 papers), Electrochemical sensors and biosensors (7 papers), Conducting polymers and applications (5 papers) and Electrochemical Analysis and Applications (5 papers). The work is most often cited by research in Bioengineering (332 citations), Electrochemistry (128 citations), Electrical and Electronic Engineering (946 citations), Biomedical Engineering (627 citations) and Metals and Alloys (35 citations). Kun Lian has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Pengwei Li, Jie Hu, Wendong Zhang, Yongjiao Sun, Efstathios I. Meletis, Jost Goettert, Yong Chen, Serge Zhuiykov, Yan Xue and Zhenting Zhao. Their work appears in journals such as Microsystem Technologies, Journal of Materials Science, Applied Surface Science, Materials Research Bulletin and Dental 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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