Chin-Chuan Cheng
- Experimental and Cognitive Psychology top 10%
- Linguistics and Language top 5%
- Artificial Intelligence
- Language and Linguistics top 5%
- Developmental and Educational Psychology
- Topics
- Natural Language Processing Techniques (4 papers)Second Language Acquisition and Learning (3 papers)Phonetics and Phonology Research (3 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Chin-Chuan Cheng
13 papers receiving 159 citations
Peers
Comparison fields: 5 of 38
- Experimental and Cognitive Psychology 144
- Linguistics and Language 96
- Artificial Intelligence 81
- Language and Linguistics 76
- Developmental and Educational Psychology 42
Countries citing papers authored by Chin-Chuan Cheng
This map shows the geographic impact of Chin-Chuan 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 Chin-Chuan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin-Chuan Cheng more than expected).
Fields of papers citing papers by Chin-Chuan Cheng
This network shows the impact of papers produced by Chin-Chuan 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 Chin-Chuan Cheng. The network helps show where Chin-Chuan Cheng may publish in the future.
Co-authorship network of co-authors of Chin-Chuan Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Chin-Chuan Cheng. A scholar is included among the top collaborators of Chin-Chuan 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 Chin-Chuan Cheng. Chin-Chuan 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 | Extensive Reading with Guidance | 1 |
| 2 | Verbs of Contact by Impact in English and Their Equivalents in Mandarin Chinese | 1 |
| 3 | Frequently-used Chinese characters and language cognition | 4 |
| 4 | 22 | |
| 5 | 3 | |
| 6 | Proactive Guidance in Computer-Assisted Language Learning. | 2 |
| 7 | 34 | |
| 8 | 2 | |
| 9 | A Quantification of Chinese Dialect Affinity | 7 |
| 10 | A Linguistics Course on International Communication and Constructed Languages. | 1 |
| 11 | 98 | |
| 12 | In Defense of Teaching Simplified Characters. | 1 |
| 13 | Computer-Assisted Instruction in Chinese: An Interim Report. | 1 |
| 14 | A Quantitive Study of Chinese Tones. | 4 |
| 15 | Computer-Based Chinese Teaching Program at Illinois. | 5 |
| 16 | 32 |
About Chin-Chuan Cheng
Chin-Chuan Cheng is a scholar working on Linguistics and Language, Language and Linguistics and Experimental and Cognitive Psychology, having authored 16 papers that have together received 218 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Second Language Acquisition and Learning (3 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Linguistics and Language (96 citations), Experimental and Cognitive Psychology (144 citations) and Language and Linguistics (76 citations). Chin-Chuan Cheng has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Stephen Baron, Bruce Sherwood, Ching‐Hsiang Chen, Yu‐Chun Huang and Chu‐Ren Huang. Their work appears in journals such as Annual Review of Applied Linguistics, Phonetica and Journal of the American Oriental Society.
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.