Shiro Manabe

421 total citations
31 papers, 231 citations indexed

About

Shiro Manabe is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Shiro Manabe has authored 31 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 8 papers in Molecular Biology. Recurrent topics in Shiro Manabe's work include Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (8 papers) and CCD and CMOS Imaging Sensors (7 papers). Shiro Manabe is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (8 papers) and CCD and CMOS Imaging Sensors (7 papers). Shiro Manabe collaborates with scholars based in Japan, United Kingdom and United States. Shiro Manabe's co-authors include Yasushi Matsumura, Toshihiro Takeda, Masaru Horio, Megumu Fukunaga, Yoshimasa Orita, Naoki Mihara, Katsuki Okada, Norio Suzuki, Katsuyuki Nakanishi and Noriyuki Tomiyama and has published in prestigious journals such as IEEE Transactions on Electron Devices, Computer Methods and Programs in Biomedicine and Journal of Biomedical Informatics.

In The Last Decade

Shiro Manabe

28 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shiro Manabe Japan	9	75	51	37	32	24	31	231
Rahul Thapa United States	10	40 0.5×	162 3.2×	30 0.8×	52 1.6×	46 1.9×	15	354
Laxmi Gupta India	9	29 0.4×	68 1.3×	10 0.3×	48 1.5×	1 0.0×	40	292
Wataru Takeuchi Japan	10	19 0.3×	25 0.5×	7 0.2×	145 4.5×	37 1.5×	32	263
Demin Yao China	7	32 0.4×	85 1.7×	7 0.2×	243 7.6×	9 0.4×	16	366
Tan Chen Wu Brazil	10	40 0.5×	13 0.3×	14 0.4×	13 0.4×	2 0.1×	32	290
Yongpeng Zhang China	9	11 0.1×	9 0.2×	21 0.6×	108 3.4×	10 0.4×	24	265
Eric LaRose United States	6	4 0.1×	86 1.7×	47 1.3×	30 0.9×	40 1.7×	7	198
Mina Bjelogrlic Switzerland	6	6 0.1×	74 1.5×	28 0.8×	22 0.7×	20 0.8×	21	169
William P. T. M. van Doorn Netherlands	7	12 0.2×	46 0.9×	16 0.4×	37 1.2×	23 1.0×	16	224

Countries citing papers authored by Shiro Manabe

Since Specialization

Citations

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

Fields of papers citing papers by Shiro Manabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiro Manabe

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

All Works

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20 of 20 papers shown

Okada, Katsuki, et al.. (2024). Classification of Diagnostic Certainty in Radiology Reports with Deep Learning. Studies in health technology and informatics. 310. 569–573. 4 indexed citations

Tanaka, Akio, Ryo� Saito, Kazumasa Iwamoto, et al.. (2024). Survey of hereditary angioedema episodes and quality of life impairment through a patient-participatory registry. Journal of Cutaneous Immunology and Allergy. 7.

Takeda, Toshihiro, et al.. (2024). Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT. Artificial Intelligence in Medicine. 153. 102889–102889. 5 indexed citations

Okada, Katsuki, et al.. (2023). Extracting Clinical Information From Japanese Radiology Reports Using a 2-Stage Deep Learning Approach: Algorithm Development and Validation. JMIR Medical Informatics. 11. e49041–e49041. 8 indexed citations

Manabe, Shiro, et al.. (2023). Impact of an Electronic Medical Record–Connected Questionnaire on Efficient Nursing Documentation: Usability and Efficacy Study. PubMed. 6. e51303–e51303. 2 indexed citations

Kikuchi, Masataka, Kaori Kobayashi, Kensaku Kasuga, et al.. (2022). Identification of mild cognitive impairment subtypes predicting conversion to Alzheimer’s disease using multimodal data. Computational and Structural Biotechnology Journal. 20. 5296–5308. 7 indexed citations

Manabe, Shiro, et al.. (2021). Practical use of a multicenter clinical research support system connected to electronic medical records. Computer Methods and Programs in Biomedicine. 210. 106362–106362. 4 indexed citations

Takeda, Toshihiro, Jong–Hoon Oh, Shiro Manabe, et al.. (2021). Extracting clinical terms from radiology reports with deep learning. Journal of Biomedical Informatics. 116. 103729–103729. 27 indexed citations

Takeda, Toshihiro, et al.. (2020). A pre-training technique to localize medical BERT and enhance BioBERT.. arXiv (Cornell University). 7 indexed citations

10.

Takeda, Toshihiro, et al.. (2020). End-to-End Approach for Structuring Radiology Reports. Studies in health technology and informatics. 270. 203–207. 2 indexed citations

11.

Iida, Ryu, et al.. (2019). Extracting Symptom Names and Disease-Symptom Relationships from Web Texts Using a Multi-Column Convolutional Neural Network. Studies in health technology and informatics. 264. 423–427. 2 indexed citations

12.

Matsumura, Yasushi, et al.. (2014). Interconnection of Electronic Medical Record with Clinical Data Management System by CDISC ODM. Studies in health technology and informatics. 205. 868–72. 11 indexed citations

13.

Matsumura, Yasushi, et al.. (2010). Development of ICF Code Selection Tools for Mental Health Care. Methods of Information in Medicine. 50(2). 150–157. 7 indexed citations

14.

Takemura, Tamiko, et al.. (2004). An extraction of medical knowledge on text mining for ubiquitous medicine. 114–117. 1 indexed citations

15.

Shibata, H., Hirofumi Yamashita, Akihiko Furukawa, et al.. (2003). A 2 M-pixel two-level vertically integrated HDTV image sensor. 166–167,. 1 indexed citations

16.

Oowaki, Y., Munetaka Noguchi, Shinichi Takagi, et al.. (2002). A sub-0.1 μm circuit design with substrate-over-biasing [CMOS logic]. 88–89,. 10 indexed citations

17.

Oowaki, Y., Mototaka Kamoshida, Akira Ohta, et al.. (2002). A 0.5 V 200 MHz 1-stage 32 b ALU using a body bias controlled SOI pass-gate logic. 286–287,. 11 indexed citations

18.

Nakamura, Nobuo, et al.. (1997). A low driving voltage CCD with single layer electrode structure for area image sensor. IEEE Transactions on Electron Devices. 44(11). 1869–1874. 6 indexed citations

19.

Yamashita, Hirofumi, et al.. (1992). Two-Million Pixel PSID without Capacitive Image Lag. 16(18). 31–36. 1 indexed citations

20.

Manabe, Shiro, Akihiko Furukawa, Yukio Endo, et al.. (1991). A 2-million-pixel CCD image sensor overlaid with an amorphous silicon photoconversion layer. IEEE Transactions on Electron Devices. 38(8). 1765–1771. 24 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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