Chia-Yu Wang

1.6k citations
59 papers · 1.1k indexed · h-index 21
Topics
Innovative Teaching and Learning Methods (12 papers)Educational Strategies and Epistemologies (12 papers)Magnetic properties of thin films (5 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Chia-Yu Wang

57 papers receiving 1.1k citations

Peers

Chia-Yu Wang
Comparison fields: 5 of 151
  • Education 433
  • Developmental and Educational Psychology 258
  • Molecular Biology 251
  • Cancer Research 165
  • Oncology 124
Replace Paul Kim with:
Paul Kim United States
Charles Xie United States
Nathan H. Lents United States
Shuqiang Zhang China
Shu‐Ling Wang Taiwan
Joseph M. Scandura United States
Monique Ross United States
Ximena López United States
Ying Du China
Chia-Yu Wang relative to Paul Kim United States Paul Kim's profile →
Citations per field
00.5×1.7×
Paul Kim · 1×
Citations per year

Countries citing papers authored by Chia-Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Yu Wang. 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-Yu Wang. The network helps show where Chia-Yu Wang may publish in the future.

Co-authorship network of co-authors of Chia-Yu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Yu Wang. A scholar is included among the top collaborators of Chia-Yu Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia-Yu Wang. Chia-Yu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 2
3 4
4 31
5
Reliability and magnetic immunity of reflow-capable embedded STT-MRAM in 16nm FinFET CMOS process
5
6 5
7 23
8 7
9 6
10 4
11 27
12 2
13 9
14 30
15 38
16 159
17 35
18 12
19 10
20 2

About Chia-Yu Wang

Chia-Yu Wang is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (12 papers), Educational Strategies and Epistemologies (12 papers) and Magnetic properties of thin films (5 papers). The work is most often cited by research in Developmental and Educational Psychology (258 citations), Education (433 citations) and Computer Science Applications (72 citations). Chia-Yu Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yao Shen, Yau‐Huei Wei, Lloyd H. Barrow, Ying‐Shao Hsu, Sufen Chen, Chin‐Chung Tsai, Yann-Jang Chen, Ying‐Tien Wu, Jyh‐Chong Liang and Guo‐Li Chiou. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Computers in Human Behavior.

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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