Che‐Chia Chang

1.7k citations
19 papers · 358 · h-index 8

Impact in

Papers in

Che‐Chia Chang

18 papers receiving 353 citations

Peers

Che‐Chia Chang
Comparison fields: 5 of 118
  • Process Chemistry and Technology 8
  • Cellular and Molecular Neuroscience 51
  • Electrical and Electronic Engineering 137
  • Hardware and Architecture 13
  • Polymers and Plastics 20
Replace Meixia Wang with:
Meixia Wang China
Richard Batycky United States
Madhavi Pali United States
I−Ru Chen United States
Yanrong Wang China
Huaqiang Zhang China
Stefan Fennrich Germany
Wha-Young Kim South Korea
Cong Xiang China
Che‐Chia Chang relative to Meixia Wang China Meixia Wang's profile →
Citations per field
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Meixia Wang · 1×
Citations per year

Countries citing papers authored by Che‐Chia Chang

Since Specialization
Citations

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

Fields of papers citing papers by Che‐Chia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2020169
2 201647
3 201729
4 201624
5 200417
6 202313
7 201113
8 20129
9 20227
10 20187
11 20165
12 20244
13 20244
14 20203
15 20033
16 20131
17 20141
18 20181
19 20121

About Che‐Chia Chang

Che‐Chia Chang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Epidemiology, Materials Chemistry and Artificial Intelligence, having authored 19 papers that have together received 358 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Semiconductor materials and devices (5 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Thin-Film Transistor Technologies (3 papers), Solar-Powered Water Purification Methods (2 papers), Membrane-based Ion Separation Techniques (2 papers), Silicon Nanostructures and Photoluminescence (2 papers) and Membrane Separation Technologies (2 papers). The work is most often cited by research in Process Chemistry and Technology (8 citations), Cellular and Molecular Neuroscience (51 citations), Electrical and Electronic Engineering (137 citations), Hardware and Architecture (13 citations) and Polymers and Plastics (20 citations). Che‐Chia Chang has collaborated with scholars based in Taiwan, Slovakia and China. Frequent co-authors include Tuo‐Hung Hou, Boris Hudec, Manan Suri, Vivek Parmar, Sandeep Kaur Kingra, I‐Ting Wang, K. Fröhlich, ChiaHua Ho, Chung-Wei Hsu and Chen-Hsi Lin. Their work appears in journals such as Scientific Reports, Food Chemistry, Polymer Degradation and Stability, IEEE Transactions on Electron Devices and Journal of Critical Care.

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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