Che‐Chia Chang

1.7k citations
20 papers · 389 · h-index 9

Impact in

Papers in

    • Advanced Memory and Neural Computing 8
    • Ferroelectric and Negative Capacitance Devices 6
    • Semiconductor materials and devices 5
    • Thin-Film Transistor Technologies 3
    • Silicon and Solar Cell Technologies 2
    • Membrane-based Ion Separation Techniques 2

Che‐Chia Chang

19 papers receiving 383 citations

Peers

Che‐Chia Chang
Comparison fields: 5 of 111
  • Process Chemistry and Technology 9
  • Cellular and Molecular Neuroscience 54
  • Electrical and Electronic Engineering 150
  • Hardware and Architecture 14
  • Polymers and Plastics 21
Replace Meixia Wang with:
Meixia Wang China
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Sara S. Ghoreishizadeh United Kingdom
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Yanrong Wang China
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Che‐Chia Chang relative to Meixia Wang China Meixia Wang's profile →
Citations per field
00.5×2.6×
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

20 of 20 papers shown
#Work
1 2020177
2 201650
3 201731
4 201625
5 200419
6 201116
7 202315
8 202211
9 20129
10 20188
11 20245
12 20165
13 20204
14 20244
15 20033
16 20142
17 20212
18 20121
19 20181
20 20131

About Che‐Chia Chang

Che‐Chia Chang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Artificial Intelligence and Water Science and Technology, having authored 20 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Semiconductor materials and devices (5 papers), Thin-Film Transistor Technologies (3 papers), Membrane Separation Technologies (2 papers), Silicon Nanostructures and Photoluminescence (2 papers), Silicon and Solar Cell Technologies (2 papers) and Membrane-based Ion Separation Techniques (2 papers). The work is most often cited by research in Process Chemistry and Technology (9 citations), Cellular and Molecular Neuroscience (54 citations), Electrical and Electronic Engineering (150 citations), Hardware and Architecture (14 citations) and Polymers and Plastics (21 citations). Che‐Chia Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tuo‐Hung Hou, Boris Hudec, Sandeep Kaur Kingra, Vivek Parmar, Manan Suri, I‐Ting Wang, K. Fröhlich, Chung-Wei Hsu, ChiaHua Ho and Chen-Hsi Lin. Their work appears in journals such as Science China Information Sciences, Journal of Physics D Applied Physics, Journal of Critical Care, IEEE Transactions on Electron Devices and Food Chemistry.

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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