Chia‐Chin Chen

1.6k citations
46 papers · 1.3k · h-index 17

Impact in

Papers in

Chia‐Chin Chen

44 papers receiving 1.3k citations

Peers

Chia‐Chin Chen
Comparison fields: 5 of 56
  • Automotive Engineering 297
  • Electronic, Optical and Magnetic Materials 424
  • Electrical and Electronic Engineering 1.1k
  • Materials Chemistry 319
  • Structural Biology 9
Replace Khim Karki with:
Khim Karki United States
Juan C. Garcia United States
Shreyas Rajasekhara United States
Tatsuya Nakamura Japan
Dmitry A. Aksyonov Russia
Suk Jun Kim South Korea
Brandon R. Long United States
Christopher R. Fell United States
Koffi P. C. Yao United States
Juliette Billaud United Kingdom
Chia‐Chin Chen relative to Khim Karki United States Khim Karki's profile →
Citations per field
00.5×1.7×
Khim Karki · 1×
Citations per year

Countries citing papers authored by Chia‐Chin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Chin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Chin Chen. 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 Chia‐Chin Chen. The network helps show where Chia‐Chin Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014202
2 2021162
3 2017161
4 2016125
5 2018102
6 201580
7 201476
8 201545
9 201737
10 202427
11 201727
12 201221
13 200920
14 201819
15 200518
16 201517
17 201016
18 201716
19 202414
20 201814

About Chia‐Chin Chen

Chia‐Chin Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Automotive Engineering and Computational Mechanics, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advancements in Battery Materials (21 papers), Advanced Battery Materials and Technologies (18 papers), Advanced Battery Technologies Research (9 papers), Supercapacitor Materials and Fabrication (9 papers), Electrohydrodynamics and Fluid Dynamics (6 papers), Fuel Cells and Related Materials (6 papers), Advancements in Solid Oxide Fuel Cells (5 papers) and Electrocatalysts for Energy Conversion (5 papers). The work is most often cited by research in Automotive Engineering (297 citations), Electronic, Optical and Magnetic Materials (424 citations), Electrical and Electronic Engineering (1.1k citations), Materials Chemistry (319 citations) and Structural Biology (9 citations). Chia‐Chin Chen has collaborated with scholars based in Taiwan, Germany and United States. Frequent co-authors include Joachim Maier, Lijun Fu, Yan Yu, Peter A. van Aken, Changbao Zhu, Kepeng Song, Dominik Samuelis, Jun Liu, J. R. Selman and Peter Kopold. Their work appears in journals such as Physical Chemistry Chemical Physics, Nature Energy, Chemistry of Materials, Solid State Ionics and Energy Technology.

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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