Chia‐Chin Chen

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

Impact in

Papers in

Chia‐Chin Chen

42 papers receiving 1.2k citations

Peers

Chia‐Chin Chen
Comparison fields: 5 of 55
  • Automotive Engineering 294
  • Electronic, Optical and Magnetic Materials 419
  • Electrical and Electronic Engineering 1.1k
  • Materials Chemistry 309
  • Polymers and Plastics 81
Replace Khim Karki with:
Khim Karki United States
Shreyas Rajasekhara United States
Tatsuya Nakamura Japan
Suk Jun Kim South Korea
Yi Wei United States
Brandon R. Long United States
Juliette Billaud United Kingdom
Christopher R. Fell United States
Koffi P. C. Yao United States
Marin Lagacé Canada
Chia‐Chin Chen relative to Khim Karki United States Khim Karki's profile →
Citations per field
00.5×1.5×1.8×
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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014195
2 2017160
3 2021158
4 2016121
5 201899
6 201476
7 201575
8 201544
9 201736
10 201727
11 202421
12 201221
13 200919
14 201819
15 200518
16 201517
17 201016
18 201715
19 202213
20 201813

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 Mechanical Engineering, having authored 45 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), Fuel Cells and Related Materials (6 papers), Electrohydrodynamics and Fluid Dynamics (5 papers), Electrocatalysts for Energy Conversion (5 papers) and Advancements in Solid Oxide Fuel Cells (5 papers). The work is most often cited by research in Automotive Engineering (294 citations), Electronic, Optical and Magnetic Materials (419 citations), Electrical and Electronic Engineering (1.1k citations), Materials Chemistry (309 citations) and Polymers and Plastics (81 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, Jun Liu, Kepeng Song, Dominik Samuelis, J. R. Selman and Peter Kopold. Their work appears in journals such as Physical Chemistry Chemical Physics, Chemistry of Materials, Nature Energy, Solid State Ionics and ACS Applied Materials & Interfaces.

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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