Kun Lian
Impact in
- Bioengineering top 1%
- Analytical Chemistry and Sensors
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
Papers in
-
- Gas Sensing Nanomaterials and Sensors 12
- Advanced MEMS and NEMS Technologies 8
- Electrochemical sensors and biosensors 7
-
- Advanced Chemical Sensor Technologies 9
- Co-authors
- Pengwei Li (16 shared papers)Jie Hu (14 shared papers)Wendong Zhang (14 shared papers)Yongjiao Sun (9 shared papers)Jost Goettert (5 shared papers)Efstathios I. Meletis (8 shared papers)Yong Chen (4 shared papers)Serge Zhuiykov (5 shared papers)
- Journals
- Microsystem Technologies (7 papers)Journal of Materials Science (4 papers)Applied Surface Science (2 papers)IEEE Sensors Journal (2 papers)Materials Research Bulletin (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Kun Lian
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Bioengineering 330
- Electrochemistry 128
- Electrical and Electronic Engineering 941
- Biomedical Engineering 630
- Metals and Alloys 36
Countries citing papers authored by Kun Lian
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
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.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 190 | |
| 2 | 2002 | 117 | |
| 3 | 2002 | 103 | |
| 4 | 2018 | 94 | |
| 5 | 2016 | 74 | |
| 6 | 2006 | 61 | |
| 7 | 2018 | 56 | |
| 8 | 2000 | 50 | |
| 9 | 2000 | 46 | |
| 10 | 2005 | 45 | |
| 11 | 2017 | 38 | |
| 12 | 2015 | 35 | |
| 13 | 2014 | 29 | |
| 14 | 2002 | 29 | |
| 15 | 1996 | 29 | |
| 16 | 2003 | 27 | |
| 17 | 2014 | 27 | |
| 18 | 2017 | 26 | |
| 19 | 2016 | 25 | |
| 20 | 2017 | 25 |
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 51 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), Advanced MEMS and NEMS Technologies (8 papers), Metal and Thin Film Mechanics (8 papers), Electrochemical sensors and biosensors (7 papers), Conducting polymers and applications (5 papers) and Corrosion Behavior and Inhibition (5 papers). The work is most often cited by research in Bioengineering (330 citations), Electrochemistry (128 citations), Electrical and Electronic Engineering (941 citations), Biomedical Engineering (630 citations) and Metals and Alloys (36 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, Jost Goettert, Efstathios I. Meletis, Yong Chen, Serge Zhuiykov, Yan Xue and Kevin J. Hemker. Their work appears in journals such as Microsystem Technologies, Journal of Materials Science, Applied Surface Science, IEEE Sensors Journal and Materials Research Bulletin.
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.