Chun-Kai Lan

522 citations
13 papers · 459 · h-index 10

Impact in

Papers in

Chun-Kai Lan

13 papers receiving 449 citations

Peers

Chun-Kai Lan
Comparison fields: 5 of 32
  • Electronic, Optical and Magnetic Materials 152
  • Electrical and Electronic Engineering 410
  • Automotive Engineering 73
  • Electrochemistry 31
  • Materials Chemistry 141
Replace Daniel Monteiro Cunha with:
Daniel Monteiro Cunha Netherlands
Sung‐Chul Lim South Korea
Xinghao Lin China
Hyun‐Ho Seo South Korea
Yoshiteru Kawabe Japan
Timothy Lichtenstein United States
Vincenzo Caramia Italy
Hanna Bryngelsson Sweden
Eui-Chol Shin South Korea
Xiaoman Zhang China
Chun-Kai Lan relative to Daniel Monteiro Cunha Netherlands Daniel Monteiro Cunha's profile →
Citations per field
00.5×5×10×15×17.5×
Daniel Monteiro Cunha · 1×
Citations per year

Countries citing papers authored by Chun-Kai Lan

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Kai Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Chun-Kai Lan, 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 Chun-Kai Lan Line = papers co-authored together Chun-Kai Lan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007195
2 201450
3 201549
4 200646
5 201022
6 201121
7 201621
8 201515
9 201012
10 200610
11 20079
12 20158
13 20181

About Chun-Kai Lan

Chun-Kai Lan is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry, Electrochemistry and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 459 indexed citations. Recurring topics across this work include Advancements in Battery Materials (5 papers), Advanced Battery Materials and Technologies (4 papers), Supercapacitor Materials and Fabrication (3 papers), ZnO doping and properties (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Advanced battery technologies research (2 papers), Electrochemical Analysis and Applications (2 papers) and Electrodeposition and Electroless Coatings (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (152 citations), Electrical and Electronic Engineering (410 citations), Automotive Engineering (73 citations), Electrochemistry (31 citations) and Materials Chemistry (141 citations). Chun-Kai Lan has collaborated with scholars based in Taiwan. Frequent co-authors include T.S. Chin, Qi Bao, T.S. Chin, Yao‐Hui Huang, Binghong Chen, Hao Yang, Ren‐Jei Chung, Ke Chang, Jinn‐Kong Sheu and Ray‐Ming Lin. Their work appears in journals such as Journal of The Electrochemical Society, Journal of Power Sources, Electrochimica Acta, Applied Physics Letters and Journal of Alloys and Compounds.

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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