Liling Tan
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Authorship Attribution and Profiling
- Text Readability and Simplification
- Text and Document Classification Technologies
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- Fatty Acid Research and Health
Papers in
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- Natural Language Processing Techniques 31
- Topic Modeling 27
- Text Readability and Simplification 8
- Advanced Text Analysis Techniques 4
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- Biomedical Text Mining and Ontologies 5
- Co-authors
- Marcos Zampieri (4 shared papers)A S Truswell (1 shared paper)Josef van Genabith (10 shared papers)Nikola Ljubešić (2 shared papers)Jörg Tiedemann (2 shared papers)Preslav Nakov (2 shared papers)Francis Bond (8 shared papers)Shamil Chollampatt (1 shared paper)
In The Last Decade
Liling Tan
45 papers receiving 508 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 357
- Nutrition and Dietetics 77
- Linguistics and Language 19
- Biochemistry 18
- Civil and Structural Engineering 47
Countries citing papers authored by Liling Tan
This map shows the geographic impact of Liling Tan'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 Liling Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liling Tan more than expected).
Fields of papers citing papers by Liling Tan
This network shows the impact of papers produced by Liling Tan. 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 Liling Tan. The network helps show where Liling Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Liling Tan, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 112 | |
| 2 | 2014 | 75 | |
| 3 | Overview of the DSL Shared Task 2015 | 2015 | 71 |
| 4 | 2020 | 38 | |
| 5 | 2024 | 27 | |
| 6 | Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018) | 2016 | 19 |
| 7 | 2014 | 17 | |
| 8 | 2015 | 17 | |
| 9 | 2016 | 16 | |
| 10 | 2023 | 14 | |
| 11 | 2016 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2024 | 11 | |
| 14 | An Awkward Disparity between BLEU / RIBES Scores and Human Judgements in Machine Translation | 2015 | 11 |
| 15 | 2015 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2022 | 7 | |
| 19 | Building and Annotating the Linguistically Diverse NTU-MC (NTU - Multilingual Corpus). | 2011 | 6 |
| 20 | 2014 | 6 |
About Liling Tan
Liling Tan is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Endocrinology, Diabetes and Metabolism and Civil and Structural Engineering, having authored 48 papers that have together received 566 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (27 papers), Text Readability and Simplification (8 papers), Biomedical Text Mining and Ontologies (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Advanced Text Analysis Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Concrete and Cement Materials Research (3 papers). The work is most often cited by research in Artificial Intelligence (357 citations), Nutrition and Dietetics (77 citations), Linguistics and Language (19 citations), Biochemistry (18 citations) and Civil and Structural Engineering (47 citations). Liling Tan has collaborated with scholars based in Germany, China and Singapore. Frequent co-authors include Marcos Zampieri, A S Truswell, Josef van Genabith, Nikola Ljubešić, Jörg Tiedemann, Preslav Nakov, Francis Bond, Shamil Chollampatt, Raymond Hendy Susanto and Santanu Pal. Their work appears in journals such as Respiratory Physiology & Neurobiology, Frontiers in Earth Science, Frontiers in Endocrinology, Geoderma and ACM Transactions on Management Information Systems.
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.