Ching‐Yu Yang

636 citations
25 papers · 545 · h-index 13

Impact in

Papers in

Ching‐Yu Yang

23 papers receiving 528 citations

Peers

Ching‐Yu Yang
Comparison fields: 5 of 84
  • Surfaces, Coatings and Films 156
  • Electronic, Optical and Magnetic Materials 121
  • Polymers and Plastics 85
  • Mechanics of Materials 96
  • Biomaterials 46
Replace Artem Shelemin with:
Artem Shelemin Czechia
Sung Hoon Lee South Korea
Peter J. Lezzi United States
Preston R. Larson United States
Shuyi Li China
Satoshi Nakamura Japan
Sohail A. Jalil United States
R.F. Reidy United States
D. Mataras Greece
Tsung‐Chieh Cheng Taiwan
Ching‐Yu Yang relative to Artem Shelemin Czechia Artem Shelemin's profile →
Citations per field
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Artem Shelemin · 1×
Citations per year

Countries citing papers authored by Ching‐Yu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Yu Yang. 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 Ching‐Yu Yang. The network helps show where Ching‐Yu Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020102
2 201882
3 198853
4 201250
5 201739
6 198939
7 200231
8 201623
9 200523
10 200323
11 201620
12 200613
13 202012
14 202210
15 20057
16 19865
17
Cool English: a Grammatical Error Correction System Based on Large Learner Corpora.
20183
18 20173
19 20162
20 20172

About Ching‐Yu Yang

Ching‐Yu Yang is a scholar working on Artificial Intelligence, Polymers and Plastics, Materials Chemistry, Mechanics of Materials and Surfaces, Coatings and Films, having authored 25 papers that have together received 545 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Synthesis and properties of polymers (6 papers), Topic Modeling (5 papers), Surface Modification and Superhydrophobicity (4 papers), Text Readability and Simplification (4 papers), Silicone and Siloxane Chemistry (4 papers), Copper Interconnects and Reliability (3 papers) and Metal and Thin Film Mechanics (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (156 citations), Electronic, Optical and Magnetic Materials (121 citations), Polymers and Plastics (85 citations), Mechanics of Materials (96 citations) and Biomaterials (46 citations). Ching‐Yu Yang has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Jen‐Sue Chen, Anke Kaltbeitzel, Philipp Baumli, Doris Vollmer, Volker Mailänder, N. Encinas, Hans‐Jürgen Butt, Florian Geyer, Po‐Yu Chen and Franz Faupel. Their work appears in journals such as Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Journal of The Electrochemical Society, Materials Science and Engineering C, IEEE Transactions on Learning Technologies and Advanced Materials.

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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