Ju Wen
Impact in
- Literature and Literary Theory top 10%
- Discourse Analysis in Language Studies
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- Second Language Acquisition and Learning
Papers in
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- Topic Modeling 5
- Natural Language Processing Techniques 4
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- Discourse Analysis in Language Studies 7
- Co-authors
- Lei Lei (5 shared papers)Xianying He (1 shared paper)Ganbing Zhang (1 shared paper)Ming Li (1 shared paper)Hanhua Feng (1 shared paper)Yu Qian (1 shared paper)Hongbo Zhang (1 shared paper)Lan Yi (7 shared papers)
In The Last Decade
Ju Wen
28 papers receiving 335 citations
Peers
Comparison fields: 5 of 63
- Literature and Literary Theory 58
- Developmental and Educational Psychology 54
- Energy Engineering and Power Technology 11
- Language and Linguistics 35
- Artificial Intelligence 94
Countries citing papers authored by Ju Wen
This map shows the geographic impact of Ju Wen'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 Ju Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Wen more than expected).
Fields of papers citing papers by Ju Wen
This network shows the impact of papers produced by Ju Wen. 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 Ju Wen. The network helps show where Ju Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Wen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 104 | |
| 2 | 2022 | 37 | |
| 3 | 2021 | 36 | |
| 4 | 2014 | 30 | |
| 5 | 2019 | 29 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2023 | 6 | |
| 11 | 2010 | 6 | |
| 12 | Monitoring technology for rock bolting engineering | 2000 | 5 |
| 13 | 2019 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Ju Wen
Ju Wen is a scholar working on Artificial Intelligence, Literature and Literary Theory, Language and Linguistics, Developmental and Educational Psychology and Sociology and Political Science, having authored 31 papers that have together received 341 indexed citations. Recurring topics across this work include Discourse Analysis in Language Studies (7 papers), Second Language Acquisition and Learning (6 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Misinformation and Its Impacts (3 papers), Lexicography and Language Studies (3 papers), Geotechnical Engineering and Soil Mechanics (2 papers) and Higher Education Governance and Development (2 papers). The work is most often cited by research in Literature and Literary Theory (58 citations), Developmental and Educational Psychology (54 citations), Energy Engineering and Power Technology (11 citations), Language and Linguistics (35 citations) and Artificial Intelligence (94 citations). Ju Wen has collaborated with scholars based in China, Germany and Iran. Frequent co-authors include Lei Lei, Xianying He, Ganbing Zhang, Ming Li, Hanhua Feng, Yu Qian, Hongbo Zhang, Lan Yi, Yifei Sun and Yang Xiao. Their work appears in journals such as RELC Journal, Learned Publishing, English for Specific Purposes, Public Understanding of Science and Scientometrics.
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.