David Wible
- Information Systems and Management top 1%
- Artificial Intelligence top 5%
- Education top 5%
- Sociology and Political Science top 10%
- Developmental and Educational Psychology top 5%
- Co-authors
- Chin‐Hwa KuoMeng Chang ChenI-Fan LiuYeali S. SunBarry Lee ReynoldsAnne LiuAgnes Kukulska‐HulmeHsin-Ying Huang
- Topics
- Natural Language Processing Techniques (22 papers)Second Language Acquisition and Learning (9 papers)Topic Modeling (7 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
David Wible
30 papers receiving 740 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Information Systems and Management 344
- Artificial Intelligence 253
- Education 239
- Sociology and Political Science 178
- Developmental and Educational Psychology 163
Countries citing papers authored by David Wible
This map shows the geographic impact of David Wible'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 David Wible with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wible more than expected).
Fields of papers citing papers by David Wible
This network shows the impact of papers produced by David Wible. 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 David Wible. The network helps show where David Wible may publish in the future.
Co-authorship network of co-authors of David Wible
This figure shows the co-authorship network connecting the top 25 collaborators of David Wible. A scholar is included among the top collaborators of David Wible 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 David Wible. David Wible is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | A Corpus-Based Tool for Exploring Domain-Specific Collocations in English | 1 |
| 6 | Word similarity using constructions as contextual features | 2 |
| 7 | 3 | |
| 8 | 15 | |
| 9 | StringNet as a Computational Resource for Discovering and Investigating Linguistic Constructions | 28 |
| 10 | Error-driven incidental language learning: Learning collocation from movies | 1 |
| 11 | Context at the Crossroads of Language Learning and Mobile Learning | 6 |
| 12 | 15 | |
| 13 | 3 | |
| 14 | The design of a synchronous virtual writing clinic | 3 |
| 15 | 23 | |
| 16 | 4 | |
| 17 | On the system design of web-based English writing environment and learner corpus | 2 |
| 18 | An online writing platform for language learners | 2 |
| 19 | 2 | |
| 20 | Subjedcts and the clausal structure of Chinese and English | 2 |
About David Wible
David Wible is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Artificial Intelligence, having authored 33 papers that have together received 832 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Second Language Acquisition and Learning (9 papers) and Topic Modeling (7 papers). The work is most often cited by research in Information Systems and Management (344 citations), Computer Science Applications (98 citations) and Communication (113 citations). David Wible has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chin‐Hwa Kuo, Meng Chang Chen, I-Fan Liu, Yeali S. Sun, Barry Lee Reynolds, Anne Liu, Agnes Kukulska‐Hulme, Hsin-Ying Huang, Tzu‐Chuan Chou and Richard Tzong‐Han Tsai. Their work appears in journals such as Computers & Education, TESOL Quarterly and Journal of Computer Assisted 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.