Yating Yang
Impact in
- Speech and Hearing top 0.5%
- Digital Storytelling and Education
Papers in
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- Natural Language Processing Techniques 39
- Topic Modeling 33
- Speech Recognition and Synthesis 9
- Text and Document Classification Technologies 5
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- Web Data Mining and Analysis 5
- Co-authors
- Jeen-Shing Wang (9 shared papers)Chung‐Yao Hsu (2 shared papers)Yu‐Liang Hsu (2 shared papers)Rui Dong (19 shared papers)Jeffrey Hugh Gamble (3 shared papers)Rob Law (1 shared paper)Gang Li (1 shared paper)Yishuo Zhang (1 shared paper)
In The Last Decade
Yating Yang
73 papers receiving 2.0k citations
Yating Yang's Hit Papers
Peers
Comparison fields: 5 of 120
- Speech and Hearing 434
- Computer Science Applications 244
- Developmental and Educational Psychology 511
- Language and Linguistics 262
- Education 667
Countries citing papers authored by Yating Yang
This map shows the geographic impact of Yating 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 Yating Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yating Yang more than expected).
Fields of papers citing papers by Yating Yang
This network shows the impact of papers produced by Yating 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 Yating Yang. The network helps show where Yating Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yating Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Digital storytelling for enhancing student academic achievement, critical thinking, and learning motivation: A year-long experimental study Hit paper breakdown → | 2012 | 579 |
| 2 | 2012 | 250 | |
| 3 | 2012 | 242 | |
| 4 | 2013 | 151 | |
| 5 | 2012 | 104 | |
| 6 | 2014 | 97 | |
| 7 | 2019 | 67 | |
| 8 | 2020 | 62 | |
| 9 | 2012 | 61 | |
| 10 | 2013 | 60 | |
| 11 | 2007 | 45 | |
| 12 | Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study | 2013 | 28 |
| 13 | 2024 | 23 | |
| 14 | 2015 | 23 | |
| 15 | 2020 | 19 | |
| 16 | 2015 | 18 | |
| 17 | 2022 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2023 | 16 |
About Yating Yang
Yating Yang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Education and Developmental and Educational Psychology, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (39 papers), Topic Modeling (33 papers), Multimodal Machine Learning Applications (9 papers), Speech Recognition and Synthesis (9 papers), Educational Games and Gamification (7 papers), Web Data Mining and Analysis (5 papers), Education and Critical Thinking Development (5 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Speech and Hearing (434 citations), Computer Science Applications (244 citations), Developmental and Educational Psychology (511 citations), Language and Linguistics (262 citations) and Education (667 citations). Yating Yang has collaborated with scholars based in China, Taiwan and Ireland. Frequent co-authors include Jeen-Shing Wang, Chung‐Yao Hsu, Yu‐Liang Hsu, Rui Dong, Jeffrey Hugh Gamble, Rob Law, Gang Li, Yishuo Zhang, Birgit Muskat and Yan Li. Their work appears in journals such as Computers & Education, IEEE Access, Applied Sciences, Future Internet and Electronics.
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.