Yukio Tono
- Language and Linguistics top 1%
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 5%
- Literature and Literary Theory top 2%
- Linguistics and Language top 5%
- Co-authors
- Richard XiaoTony McEneryMaría Belén Díez-BedmarKikuo MaekawaMakoto YamazakiYoshihito FujitaTakahiro NakamuraMasayuki Asahara
- Topics
- Lexicography and Language Studies (10 papers)Natural Language Processing Techniques (10 papers)Second Language Acquisition and Learning (7 papers)
In The Last Decade
Yukio Tono
15 papers receiving 623 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Language and Linguistics 487
- Artificial Intelligence 320
- Developmental and Educational Psychology 264
- Literature and Literary Theory 191
- Linguistics and Language 74
Countries citing papers authored by Yukio Tono
This map shows the geographic impact of Yukio Tono'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 Yukio Tono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Tono more than expected).
Fields of papers citing papers by Yukio Tono
This network shows the impact of papers produced by Yukio Tono. 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 Yukio Tono. The network helps show where Yukio Tono may publish in the future.
Co-authorship network of co-authors of Yukio Tono
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Tono. A scholar is included among the top collaborators of Yukio Tono 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 Yukio Tono. Yukio Tono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 67 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 54 | |
| 10 | A critical review of the theory of lexicographical functions | 7 |
| 11 | An Annotated Corpus Management Tool: ChaKi. | 0 |
| 12 | Corpus-Based Language Studies: An Advanced Resource Bookbreakdown → | 477 |
| 13 | Building a Corpus of Professional English | 1 |
| 14 | 0 | |
| 15 | 51 | |
| 16 | Research on dictionary use in the context of foreign language learning | 16 |
| 17 | On the Effects of Different Types of Electronic Dictionary Interfaces on L2 Learners’ Reference Behaviour in Productive/Receptive Tasks | 26 |
| 18 | 2 |
About Yukio Tono
Yukio Tono is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Artificial Intelligence, having authored 18 papers that have together received 756 indexed citations. Recurring topics across this work include Lexicography and Language Studies (10 papers), Natural Language Processing Techniques (10 papers) and Second Language Acquisition and Learning (7 papers). The work is most often cited by research in Language and Linguistics (487 citations), Developmental and Educational Psychology (264 citations) and Literature and Literary Theory (191 citations). Yukio Tono has collaborated with scholars based in Japan and Spain. Frequent co-authors include Richard Xiao, Tony McEnery, María Belén Díez-Bedmar, Kikuo Maekawa, Makoto Yamazaki, Yoshihito Fujita, Takahiro Nakamura, Masayuki Asahara, Paul Rayson and Akira Ohtani. Their work appears in journals such as Language, Language Resources and Evaluation and ReCALL.
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.