J Tsujii
- Artificial Intelligence top 2%
- Molecular Biology
- Management Science and Operations Research top 10%
- Information Systems
- Computational Theory and Mathematics top 10%
- Co-authors
- Tomoko OhtaYuka TateisiJD KimSophia AnaniadouMakoto NagaoJunichi NakamuraYoshinobu KanoIrena Spasić
- Topics
- Natural Language Processing Techniques (13 papers)Biomedical Text Mining and Ontologies (10 papers)Topic Modeling (6 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
J Tsujii
18 papers receiving 837 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 805
- Molecular Biology 599
- Management Science and Operations Research 58
- Information Systems 43
- Computational Theory and Mathematics 39
Countries citing papers authored by J Tsujii
This map shows the geographic impact of J Tsujii'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 J Tsujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Tsujii more than expected).
Fields of papers citing papers by J Tsujii
This network shows the impact of papers produced by J Tsujii. 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 J Tsujii. The network helps show where J Tsujii may publish in the future.
Co-authorship network of co-authors of J Tsujii
This figure shows the co-authorship network connecting the top 25 collaborators of J Tsujii. A scholar is included among the top collaborators of J Tsujii 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 J Tsujii. J Tsujii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Using Random Forest to recognise translation equivalents of biomedical terms across languages | 1 |
| 2 | Selected articles from the BioNLP Shared Task 2011 | 1 |
| 3 | Pathway Curation Support as an Information Extraction Task | 6 |
| 4 | Almost Total Recall: Semantic Category Disambiguation Using Large Lexical Resources and Approximate String Matching | 2 |
| 5 | 29 | |
| 6 | 3 | |
| 7 | Semantic Search on Digital Document Repositories based on Text Mining Results | 9 |
| 8 | 14 | |
| 9 | GENIA corpus—a semantically annotated corpus for bio-textminingbreakdown → | 803 |
| 10 | 4 | |
| 11 | [Natural language processing for text mining in genome science]. | 1 |
| 12 | A Web-based integrated knowledge mining aid system using term-oriented Natural Language Processing | 4 |
| 13 | Automatic classification of technical terms using the NC-value method for term recognition | 2 |
| 14 | Developing NLP Tools for Genome Informatics: An Information Extraction Perspective. | 14 |
| 15 | Term disambiguation by adding structural constraints to lexically-based context matching techniques | 1 |
| 16 | Term identification using contextual cues | 0 |
| 17 | Extracting terminological expressions | 4 |
| 18 | 16 | |
| 19 | 8 | |
| 20 | 6 |
About J Tsujii
J Tsujii is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology, having authored 20 papers that have together received 928 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Biomedical Text Mining and Ontologies (10 papers) and Topic Modeling (6 papers). The work is most often cited by research in Artificial Intelligence (805 citations), Molecular Biology (599 citations) and Management Science and Operations Research (58 citations). J Tsujii has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tomoko Ohta, Yuka Tateisi, JD Kim, Sophia Ananiadou, Makoto Nagao, Junichi Nakamura, Yoshinobu Kano, Irena Spasić, Lawrence Hunter and K. B. Cohen. Their work appears in journals such as Bioinformatics, Proceedings of the IEEE and BMC Bioinformatics.
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.