Yuh‐show Cheng
- Language and Linguistics top 0.5%
- Literature and Literary Theory top 0.5%
- Developmental and Educational Psychology top 2%
- Education top 2%
- Information Systems top 5%
- Co-authors
- Diane L. SchallertElaine K. HorwitzJun-Jie TsengCheryl Wei‐yu ChenHung‐chun WangAmy Β. M. Tsui
- Topics
- EFL/ESL Teaching and Learning (9 papers)Second Language Acquisition and Learning (5 papers)Innovative Teaching and Learning Methods (3 papers)
- Cited by
- Language and LinguisticsLiterature and Literary TheoryDevelopmental and Educational Psychology
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Yuh‐show Cheng
14 papers receiving 914 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Language and Linguistics 780
- Literature and Literary Theory 414
- Developmental and Educational Psychology 399
- Education 391
- Information Systems 147
Countries citing papers authored by Yuh‐show Cheng
This map shows the geographic impact of Yuh‐show Cheng'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 Yuh‐show Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuh‐show Cheng more than expected).
Fields of papers citing papers by Yuh‐show Cheng
This network shows the impact of papers produced by Yuh‐show Cheng. 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 Yuh‐show Cheng. The network helps show where Yuh‐show Cheng may publish in the future.
Co-authorship network of co-authors of Yuh‐show Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Yuh‐show Cheng. A scholar is included among the top collaborators of Yuh‐show Cheng 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 Yuh‐show Cheng. Yuh‐show Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 87 | |
| 4 | 87 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | The Supervisory Process of EFL Teachers: A Case Study. | 8 |
| 10 | 27 | |
| 11 | 7 | |
| 12 | 26 | |
| 13 | 295 | |
| 14 | Learners' Beliefs and Second Language Anxiety | 20 |
| 15 | Language Anxiety: Differentiating Writing and Speaking Componentsbreakdown → | 516 |
About Yuh‐show Cheng
Yuh‐show Cheng is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Literature and Literary Theory, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (9 papers), Second Language Acquisition and Learning (5 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Language and Linguistics (780 citations), Literature and Literary Theory (414 citations) and Developmental and Educational Psychology (399 citations). Yuh‐show Cheng has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Diane L. Schallert, Elaine K. Horwitz, Jun-Jie Tseng, Cheryl Wei‐yu Chen, Hung‐chun Wang and Amy Β. M. Tsui. Their work appears in journals such as Computers & Education, TESOL Quarterly and Language Learning.
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.