Tomoko Ohkuma

1.2k total citations
53 papers, 750 citations indexed

About

Tomoko Ohkuma is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Tomoko Ohkuma has authored 53 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 10 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Tomoko Ohkuma's work include Topic Modeling (31 papers), Natural Language Processing Techniques (28 papers) and Biomedical Text Mining and Ontologies (10 papers). Tomoko Ohkuma is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (28 papers) and Biomedical Text Mining and Ontologies (10 papers). Tomoko Ohkuma collaborates with scholars based in Japan, United States and Singapore. Tomoko Ohkuma's co-authors include Yasuhide Miura, Eiji Aramaki, Masahiro Sato, Hiroshi Masuichi, Francine Chen, Qian Zhang, Kazuhiko Ohe, Yanying Chen, Mizuki Morita and Yoshinobu Kano and has published in prestigious journals such as Journal of Medical Internet Research, Methods of Information in Medicine and JMIR Medical Informatics.

In The Last Decade

Tomoko Ohkuma

49 papers receiving 692 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tomoko Ohkuma Japan	15	550	172	117	91	55	53	750
Yasuhide Miura Japan	11	331 0.6×	126 0.7×	68 0.6×	5 0.1×	56 1.0×	25	472
Elena Tutubalina Russia	15	526 1.0×	210 1.2×	62 0.5×	8 0.1×	60 1.1×	71	792
Jochen L. Leidner United Kingdom	15	449 0.8×	62 0.4×	157 1.3×	6 0.1×	6 0.1×	53	706
Shaodian Zhang China	14	667 1.2×	269 1.6×	123 1.1×	6 0.1×	6 0.1×	26	910
Nazli Goharian United States	17	833 1.5×	157 0.9×	315 2.7×	12 0.1×	12 0.2×	90	1.1k
Mark Hepple United Kingdom	16	943 1.7×	312 1.8×	98 0.8×	5 0.1×	15 0.3×	62	1.1k
Jodi Schneider United States	15	210 0.4×	101 0.6×	76 0.6×	38 0.4×	10 0.2×	70	569
Gang Tian China	9	152 0.3×	240 1.4×	65 0.6×	5 0.1×	24 0.4×	17	533
Jyun‐Yu Jiang United States	14	389 0.7×	82 0.5×	215 1.8×	32 0.4×		49	665
Meliha Yetisgen-Yildiz United States	15	498 0.9×	468 2.7×	38 0.3×	38 0.4×	14 0.3×	29	765

Countries citing papers authored by Tomoko Ohkuma

Since Specialization

Citations

This map shows the geographic impact of Tomoko Ohkuma'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 Tomoko Ohkuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Ohkuma more than expected).

Fields of papers citing papers by Tomoko Ohkuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoko Ohkuma. 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 Tomoko Ohkuma. The network helps show where Tomoko Ohkuma may publish in the future.

Co-authorship network of co-authors of Tomoko Ohkuma

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Ohkuma. A scholar is included among the top collaborators of Tomoko Ohkuma 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 Tomoko Ohkuma. Tomoko Ohkuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Miura, Yasuhide, et al.. (2020). Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations. 291–302. 3 indexed citations

Ohkuma, Tomoko, et al.. (2020). TeamX at CLEF eHealth 2020: ICD Coding with N-gram Encoder and Code-filtering Strategy.. CLEF (Working Notes). 1 indexed citations

Sato, Masahiro, et al.. (2019). Utilizing Informative Missingness for Early Prediction of Sepsis. Computing in Cardiology Conference. 1–4. 2 indexed citations

Zhang, Qian, et al.. (2019). Augmenting Knowledge Tracing by Considering Forgetting Behavior. 3101–3107. 122 indexed citations

Wakamiya, Shoko, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma, & Eiji Aramaki. (2018). Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations. Journal of Medical Internet Research. 21(2). e12783–e12783. 27 indexed citations

Takahashi, Takumi, et al.. (2018). Text and Image Synergy with Feature Cross Technique for Gender Identification: Notebook for PAN at CLEF 2018.. CLEF (Working Notes). 5 indexed citations

Miura, Yasuhide, et al.. (2018). Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts. International Conference on Computational Linguistics. 3806–3818. 3 indexed citations

Miura, Yasuhide, et al.. (2017). Using Social Networks to Improve Language Variety Identification with Neural Networks. International Joint Conference on Natural Language Processing. 2. 263–270.

Miura, Yasuhide, et al.. (2017). Author Profiling with Word+Character Neural Attention Network.. CLEF (Working Notes). 11 indexed citations

10.

Aramaki, Eiji, Mizuki Morita, Yoshinobu Kano, & Tomoko Ohkuma. (2016). Overview of the NTCIR-12 MedNLPDoc Task.. NTCIR. 8 indexed citations

11.

Le, Tuan, et al.. (2016). Sentiment Analysis for Low Resource Languages: A Study on Informal Indonesian Tweets. International Conference on Computational Linguistics. 123–131. 23 indexed citations

12.

Miura, Yasuhide, et al.. (2016). A Simple Scalable Neural Networks based Model for Geolocation Prediction in Twitter. International Conference on Computational Linguistics. 235–239. 22 indexed citations

13.

Aramaki, Eiji, Yoshinobu Kano, Tomoko Ohkuma, & Mizuki Morita. (2016). MedNLPDoc: Japanese Shared Task for Clinical NLP. International Conference on Computational Linguistics. 13–16. 1 indexed citations

14.

Aramaki, Eiji, Mizuki Morita, Yoshinobu Kano, & Tomoko Ohkuma. (2014). Overview of the NTCIR-11 MedNLP-2 Task. NTCIR. 18 indexed citations

15.

Miura, Yasuhide, et al.. (2013). UT-FX at NTCIR-10 MedNLP: Incorporating Medical Knowledge to Enhance Medical Information Extraction. NTCIR. 2 indexed citations

16.

Morita, Mizuki, et al.. (2013). Overview of the NTCIR-10 MedNLP Task. NTCIR. 30 indexed citations

17.

Ohkuma, Tomoko, et al.. (2006). Disambiguation of Japanese Focus Particles by using Lexical Functional Grammar. Journal of Natural Language Processing. 13(1). 27–52. 1 indexed citations

18.

Masuichi, Hiroshi, et al.. (2004). Proceedings of the 18th Pacific Asia Conference on Language, Information and Computation. Pacific Asia Conference on Language, Information, and Computation. 7 indexed citations

19.

Masuichi, Hiroshi, et al.. (2003). Japanese Parser on the basis of the Lexical-Functional Grammar Formalism and its Evaluation. Waseda University Repository (Waseda University). 298–309. 7 indexed citations

20.

Masuichi, Hiroshi & Tomoko Ohkuma. (2003). Constructing a practical Japanese Parser based on Lexical Functional Grammar.. Journal of Natural Language Processing. 10(2). 79–109. 6 indexed citations

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.

Explore authors with similar magnitude of impact