Ryosuke Kojima

1.4k total citations
55 papers, 968 citations indexed

About

Ryosuke Kojima is a scholar working on Signal Processing, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Ryosuke Kojima has authored 55 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 10 papers in Computational Theory and Mathematics and 9 papers in Molecular Biology. Recurrent topics in Ryosuke Kojima's work include Speech and Audio Processing (16 papers), Music and Audio Processing (12 papers) and Computational Drug Discovery Methods (10 papers). Ryosuke Kojima is often cited by papers focused on Speech and Audio Processing (16 papers), Music and Audio Processing (12 papers) and Computational Drug Discovery Methods (10 papers). Ryosuke Kojima collaborates with scholars based in Japan, Singapore and Hong Kong. Ryosuke Kojima's co-authors include Yasushi Okuno, Osamu Sugiyama, Kazuhiro Nakadai, Shoichi Ishida, Tomoki Ogoshi, Ryuta Sueto, Takahiro Kakuta, Shigehisa Akine, Hiroaki Iwata and Tada‐aki Yamagishi and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.

In The Last Decade

Ryosuke Kojima

50 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryosuke Kojima Japan	17	196	175	166	157	112	55	968
Li Lee United States	15	147 0.8×	134 0.8×	188 1.1×	179 1.1×	69 0.6×	75	1.2k
Mingzhao Wang China	20	184 0.9×	85 0.5×	104 0.6×	16 0.1×	17 0.2×	81	1.4k
Filippo Amato Italy	9	76 0.4×	100 0.6×	238 1.4×	9 0.1×	37 0.3×	27	994
Jindong Chen China	22	290 1.5×	61 0.3×	221 1.3×	59 0.4×	27 0.2×	77	1.3k
Xuemei Zhao China	19	114 0.6×	280 1.6×	133 0.8×	39 0.2×	9 0.1×	116	1.5k
Tarun Jain India	16	191 1.0×	35 0.2×	129 0.8×	17 0.1×	90 0.8×	107	1.2k
Han Fang China	22	173 0.9×	92 0.5×	226 1.4×	111 0.7×	11 0.1×	95	1.7k
Sean B. Holden United Kingdom	13	83 0.4×	43 0.2×	243 1.5×	26 0.2×	394 3.5×	26	1.1k

Countries citing papers authored by Ryosuke Kojima

Since Specialization

Citations

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

Fields of papers citing papers by Ryosuke Kojima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryosuke Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of Ryosuke Kojima. A scholar is included among the top collaborators of Ryosuke Kojima 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 Ryosuke Kojima. Ryosuke Kojima 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

Kojima, Ryosuke, et al.. (2026). Acute β-cell failure induced by selpercatinib in RET fusion–positive non-small cell lung cancer: A case report. Respiratory Medicine Case Reports. 59. 102372–102372.

Matsumoto, Shigeyuki, Ryo Kanada, Biao Ma, et al.. (2025). Precision spatiotemporal analysis of large-scale compound–protein interactions through molecular dynamics simulation. PNAS Nexus. 4(3). pgaf094–pgaf094.

Noto, Naoki, et al.. (2025). Transfer learning across different photocatalytic organic reactions. Nature Communications. 16(1). 3388–3388. 5 indexed citations

Kojima, Ryosuke, et al.. (2025). ReactionT5: a pre-trained transformer model for accurate chemical reaction prediction with limited data. Journal of Cheminformatics. 17(1). 126–126.

Okamoto, Rika, Ryosuke Kojima, & Masahiko Nakatsui. (2023). Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products. Safety Science. 168. 106314–106314. 2 indexed citations

Iwata, Hiroaki, et al.. (2023). VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search. Journal of Chemical Information and Modeling. 63(23). 7392–7400. 11 indexed citations

Nakamura, Kazuki, Eiichiro Uchino, Noriaki Sato, et al.. (2023). Individual health-disease phase diagrams for disease prevention based on machine learning. Journal of Biomedical Informatics. 144. 104448–104448. 5 indexed citations

Kamada, Mayumi, et al.. (2023). Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. BMC Bioinformatics. 24(1). 383–383. 3 indexed citations

Igarashi, Yoshinobu, Suyong Re, Ryosuke Kojima, Yasushi Okuno, & Hiroshi Yamada. (2023). Development of a GCN-based model to predict <i>in vitro</i> phototoxicity from the chemical structure and HOMO-LUMO gap. The Journal of Toxicological Sciences. 48(5). 243–249. 6 indexed citations

10.

Ishida, Shoichi, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, & Yasushi Okuno. (2022). AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge. Journal of Chemical Information and Modeling. 62(6). 1357–1367. 31 indexed citations

11.

Nakamura, Kazuki, Ryosuke Kojima, Eiichiro Uchino, et al.. (2021). Health improvement framework for actionable treatment planning using a surrogate Bayesian model. Nature Communications. 12(1). 3088–3088. 8 indexed citations

12.

Kojima, Ryosuke, et al.. (2020). Prediction of blood pressure variability using deep neural networks. International Journal of Medical Informatics. 136. 104067–104067. 47 indexed citations

13.

Kojima, Ryosuke, et al.. (2020). Future possibilities for artificial intelligence in the practical management of hypertension. Hypertension Research. 43(12). 1327–1337. 23 indexed citations

14.

Kojima, Ryosuke, et al.. (2019). 2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system. Advanced Robotics. 33(7-8). 403–414. 18 indexed citations

15.

Ishida, Shoichi, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, & Yasushi Okuno. (2019). Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks. Journal of Chemical Information and Modeling. 59(12). 5026–5033. 58 indexed citations

16.

Ogoshi, Tomoki, Ryuta Sueto, Ryosuke Kojima, et al.. (2019). Molecular weight fractionation by confinement of polymer in one-dimensional pillar[5]arene channels. Nature Communications. 10(1). 479–479. 44 indexed citations

17.

Kamada, Mayumi, Masahiko Nakatsui, Ryosuke Kojima, et al.. (2019). MGeND: an integrated database for Japanese clinical and genomic information. Human Genome Variation. 6(1). 53–53. 10 indexed citations

18.

Nishio, Mizuho, Mitsuo Nishizawa, Osamu Sugiyama, et al.. (2018). Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. PLoS ONE. 13(4). e0195875–e0195875. 98 indexed citations

19.

Sugiyama, Osamu, et al.. (2017). Design and Assessment of Sound Source Localization System with a UAV-Embedded Microphone Array. Journal of Robotics and Mechatronics. 29(1). 154–167. 11 indexed citations

20.

Kojima, Ryosuke & Taisuke Sato. (2015). Goal and plan recognition via parse trees using prefix and infix probability computation. Lecture notes in computer science. 9046. 76–91. 1 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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