Daisuke Okanohara

1.0k total citations
18 papers, 335 citations indexed

About

Daisuke Okanohara is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daisuke Okanohara has authored 18 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daisuke Okanohara's work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Algorithms and Data Compression (3 papers). Daisuke Okanohara is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Algorithms and Data Compression (3 papers). Daisuke Okanohara collaborates with scholars based in Japan, United Kingdom and United States. Daisuke Okanohara's co-authors include Jun’ichi Tsujii, Xu Sun, Takuya Matsuzaki, Yoshimasa Tsuruoka, Yusuke Miyao, Hirotaka Hachiya, Taiji Suzuki, Ju Li, Takafumi Kanamori and So Takamoto and has published in prestigious journals such as BMC Bioinformatics, Journal of Chemical Theory and Computation and Journal of Materiomics.

In The Last Decade

Daisuke Okanohara

14 papers receiving 306 citations

Peers

Daisuke Okanohara
Hongyang Zhang China
Peide Qian China
Xiaoyang Qu China
Philipp Seidl Austria
Víctor Suárez-Paniagua Spain
Kyunghyun Cho United States
Atsushi Miyauchi Japan
Oliver Eberle Germany
Hongyang Zhang China
Daisuke Okanohara
Citations per year, relative to Daisuke Okanohara Daisuke Okanohara (= 1×) peers Hongyang Zhang

Countries citing papers authored by Daisuke Okanohara

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Okanohara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Okanohara

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

All Works

18 of 18 papers shown
1.
Hayashi, Akihide, So Takamoto, Ju Li, Yuta Tsuboi, & Daisuke Okanohara. (2025). Generative Model for Constructing Reaction Path from Initial to Final States. Journal of Chemical Theory and Computation. 21(3). 1292–1305.
2.
Takamoto, So, Daisuke Okanohara, Qing‐Jie Li, & Ju Li. (2023). Towards universal neural network interatomic potential. Journal of Materiomics. 9(3). 447–454. 36 indexed citations
3.
MORI, Hiroki, et al.. (2023). Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs. Advanced Robotics. 37(10). 621–633. 3 indexed citations
4.
Miyato, Takeru, Daisuke Okanohara, Shin‐ichi Maeda, & Masanori Koyama. (2017). Synthetic Gradient Methods with Virtual Forward-Backward Networks. International Conference on Learning Representations.
5.
Okanohara, Daisuke, et al.. (2014). Compressed Bit Vectors Based on Variable-to-Fixed Encodings. 409–409.
6.
Maruyama, Hiroshi, Daisuke Okanohara, & Shohei Hido. (2013). Data Marketplace for Efficient Data Placement. 702–705. 4 indexed citations
7.
Okanohara, Daisuke, et al.. (2011). Discriminative Method for Japanese Kana-Kanji Input Method. 10–18. 4 indexed citations
8.
Sugiyama, Masashi, Ichiro Takeuchi, Taiji Suzuki, et al.. (2010). Conditional Density Estimation via Least-Squares Density Ratio Estimation. International Conference on Artificial Intelligence and Statistics. 781–788. 19 indexed citations
9.
Sugiyama, Masashi, Ichiro Takeuchi, Taiji Suzuki, et al.. (2010). Least-Squares Conditional Density Estimation. IEICE Transactions on Information and Systems. E93-D(3). 583–594. 33 indexed citations
10.
Okanohara, Daisuke & Yuichi Yoshida. (2010). Conjunctive Filter: Breaking the Entropy Barrier. Society for Industrial and Applied Mathematics eBooks. 77–83. 3 indexed citations
11.
Sun, Xu, Takuya Matsuzaki, Daisuke Okanohara, & Jun’ichi Tsujii. (2009). Latent variable perceptron algorithm for structured classification. 1236–1242. 36 indexed citations
12.
Okanohara, Daisuke & Jun’ichi Tsujii. (2009). Learning combination features withL1regularization. 97–97. 11 indexed citations
13.
Oda, Kanae, Jin-Dong Kim, Tomoko Ohta, et al.. (2008). New challenges for text mining: mapping between text and manually curated pathways. BMC Bioinformatics. 9(S3). S5–S5. 57 indexed citations
14.
Sun, Xu, Louis–Philippe Morency, Daisuke Okanohara, & Jun'ichi Tsujii. (2008). Modeling latent-dynamic in shallow parsing. 1. 841–848. 36 indexed citations
15.
Okanohara, Daisuke & Jun’ichi Tsujii. (2007). A discriminative language model with pseudo-negative samples. Meeting of the Association for Computational Linguistics. 73–80. 32 indexed citations
16.
Okanohara, Daisuke & Jun’ichi Tsujii. (2007). Assigning Polarity Scores to Reviews Using Machine Learning Techniques. Journal of Natural Language Processing. 14(3). 273–295. 3 indexed citations
17.
Okanohara, Daisuke, Yusuke Miyao, Yoshimasa Tsuruoka, & Jun’ichi Tsujii. (2006). Improving the scalability of semi-Markov conditional random fields for named entity recognition. 465–472. 58 indexed citations
18.
Okanohara, Daisuke. (2005). Partially Decodable Compression with Static PPM. 471–471.

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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