Meng Ji
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Language and Linguistics top 10%
- Translation Studies and Practices
Papers in
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- Health Literacy and Information Accessibility 19
- Mobile Health and mHealth Applications 8
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- Natural Language Processing Techniques 11
- Text Readability and Simplification 5
- Co-authors
- Tianyong Hao (12 shared papers)Rongying Li (5 shared papers)Zhaogang Dong (9 shared papers)Michael Oakes (1 shared paper)Chi-Yin Chow (8 shared papers)Kam-Yiu Lam (5 shared papers)Yanmeng Liu (4 shared papers)Xiaofei Xu (5 shared papers)
In The Last Decade
Meng Ji
58 papers receiving 310 citations
Peers
Comparison fields: 5 of 111
- Health Informatics 18
- Language and Linguistics 49
- Applied Psychology 20
- Health 28
- Issues, ethics and legal aspects 4
Countries citing papers authored by Meng Ji
This map shows the geographic impact of Meng Ji'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 Meng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Ji more than expected).
Fields of papers citing papers by Meng Ji
This network shows the impact of papers produced by Meng Ji. 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 Meng Ji. The network helps show where Meng Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Ji, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Characteristics and Tendencies of Annual Runoff Variations in the Heihe River Basin During the Past 60 years | 2008 | 24 |
| 2 | 2022 | 20 | |
| 3 | 2022 | 19 | |
| 4 | 2023 | 19 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 16 | |
| 7 | 2009 | 15 | |
| 8 | Quantitative Methods in Corpus-Based Translation Studies | 2012 | 14 |
| 9 | 2008 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2016 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2022 | 7 | |
| 15 | Empirical Translation Studies: Interdisciplinary Methodologies Explored | 2015 | 7 |
| 16 | 2009 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 6 |
About Meng Ji
Meng Ji is a scholar working on General Health Professions, Artificial Intelligence, Language and Linguistics, Health and Social Psychology, having authored 65 papers that have together received 335 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (19 papers), Natural Language Processing Techniques (11 papers), Mobile Health and mHealth Applications (8 papers), Translation Studies and Practices (6 papers), Mental Health via Writing (5 papers), Text Readability and Simplification (5 papers), Lexicography and Language Studies (5 papers) and Misinformation and Its Impacts (5 papers). The work is most often cited by research in Health Informatics (18 citations), Language and Linguistics (49 citations), Applied Psychology (20 citations), Health (28 citations) and Issues, ethics and legal aspects (4 citations). Meng Ji has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Tianyong Hao, Rongying Li, Zhaogang Dong, Michael Oakes, Chi-Yin Chow, Kam-Yiu Lam, Yanmeng Liu, Xiaofei Xu, Xiaosi Gu and Shihui Han. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Medical Internet Research, Frontiers in Public Health, Computational Intelligence and Neuroscience and Journal of Quantitative Linguistics.
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.