Akane Yakushiji

471 total citations
10 papers, 301 citations indexed

About

Akane Yakushiji is a scholar working on Artificial Intelligence, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Akane Yakushiji has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Akane Yakushiji's work include Biomedical Text Mining and Ontologies (7 papers), Natural Language Processing Techniques (7 papers) and Semantic Web and Ontologies (5 papers). Akane Yakushiji is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Natural Language Processing Techniques (7 papers) and Semantic Web and Ontologies (5 papers). Akane Yakushiji collaborates with scholars based in Japan and United Kingdom. Akane Yakushiji's co-authors include Yuka Tateisi, Jun’ichi Tsujii, Yusuke Miyao, Tomoko Ohta, Jin-Dong Kim, Kazuhiro YOSHIDA, Junko S. Takeuchi, Jun'ichi Tsujii, Yoshimasa Tsuruoka and Takashi Ninomiya and has published in prestigious journals such as Language Resources and Evaluation, PubMed and Medical Entomology and Zoology.

In The Last Decade

Akane Yakushiji

9 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akane Yakushiji Japan	5	250	237	12	11	5	10	301
André Lamúrias Portugal	9	164 0.7×	179 0.8×	19 1.6×	16 1.5×	7 1.4×	28	251
Larry Smith United States	5	260 1.0×	305 1.3×	6 0.5×	16 1.5×	5 1.0×	11	344
Fatima Zohra Smaili Saudi Arabia	4	85 0.3×	130 0.5×	14 1.2×	22 2.0×	8 1.6×	4	192
Illés Solt Hungary	7	102 0.4×	142 0.6×	4 0.3×	16 1.5×	4 0.8×	13	159
Marco Basaldella Italy	6	187 0.7×	122 0.5×	16 1.3×	4 0.4×	9 1.8×	13	221
Yoshiki Niwa Japan	8	142 0.6×	75 0.3×	40 3.3×	8 0.7×	5 1.0×	22	181
Miguel Arregui United Kingdom	6	194 0.8×	316 1.3×	10 0.8×	44 4.0×	5 1.0×	8	346
Christopher Ochs United States	14	384 1.5×	408 1.7×	18 1.5×	26 2.4×	15 3.0×	38	447
Sophia Katrenko Netherlands	5	95 0.4×	108 0.5×	13 1.1×	8 0.7×	1 0.2×	19	156
Ilinca Tudose Germany	6	50 0.2×	73 0.3×	14 1.2×	17 1.5×	5 1.0×	7	92

Countries citing papers authored by Akane Yakushiji

Since Specialization

Citations

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

Fields of papers citing papers by Akane Yakushiji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akane Yakushiji

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

All Works

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10 of 10 papers shown

1.

Ohta, Tomoko, Yuka Tateisi, Jin-Dong Kim, Akane Yakushiji, & Jun’ichi Tsujii. (2006). Linguistic and Biological Annotations of Biological Interaction Events. Language Resources and Evaluation. 1402–1405. 3 indexed citations

2.

Ohta, Tomoko, Jun'ichi Tsujii, Yoshimasa Tsuruoka, et al.. (2006). An intelligent search engine and GUI-based efficient MEDLINE search tool based on deep syntactic parsing. 17–20. 25 indexed citations

3.

Yakushiji, Akane, Yusuke Miyao, Tomoko Ohta, Yuka Tateisi, & Jun’ichi Tsujii. (2006). Automatic construction of predicate-argument structure patterns for biomedical information extraction. 284–284. 20 indexed citations

4.

Tateisi, Yuka, Akane Yakushiji, Tomoko Ohta, & Jun’ichi Tsujii. (2005). Syntax Annotation for the GENIA Corpus. 220–225. 91 indexed citations

5.

Yakushiji, Akane. (2005). Biomedical information extraction with predicate-argument structure patterns. 1 indexed citations

6.

Yakushiji, Akane, Yuka Tateisi, Yusuke Miyao, & Jun’ichi Tsujii. (2004). Finding anchor verbs for biomedical IE using predicate-argument structures. 17–es.

7.

Yakushiji, Akane, Yuka Tateisi, Yusuke Miyao, Naoki Yoshinaga, & Jun’ichi Tsujii. (2003). A debug tool for practical grammar development. 2. 173–176. 2 indexed citations

8.

Yakushiji, Akane, Yuka Tateisi, Yusuke Miyao, & Jun’ichi Tsujii. (2000). Use of a Full Parser for Information Extraction in Molecular Biology Domain. Medical Entomology and Zoology. 11(11). 446–447. 6 indexed citations

9.

Yakushiji, Akane, Yuka Tateisi, Yusuke Miyao, & Jun’ichi Tsujii. (2000). EVENT EXTRACTION FROM BIOMEDICAL PAPERS USING A FULL PARSER. PubMed. 408–419. 149 indexed citations

10.

Collier, Nigel, Hideki Mima, Tomoko Ohta, et al.. (2000). The GENIA Project. 11. 448–449. 4 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.

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