Seiichi Ozawa

2.2k total citations
128 papers, 1.3k citations indexed

About

Seiichi Ozawa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Seiichi Ozawa has authored 128 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 39 papers in Computer Vision and Pattern Recognition and 38 papers in Signal Processing. Recurrent topics in Seiichi Ozawa's work include Neural Networks and Applications (40 papers), Face and Expression Recognition (32 papers) and Machine Learning and ELM (23 papers). Seiichi Ozawa is often cited by papers focused on Neural Networks and Applications (40 papers), Face and Expression Recognition (32 papers) and Machine Learning and ELM (23 papers). Seiichi Ozawa collaborates with scholars based in Japan, New Zealand and China. Seiichi Ozawa's co-authors include Nikola Kasabov, Shaoning Pang, Shigeo Abe, Tao Ban, Chi-Sing Leung, Long Cheng, Asim Roy, Jun Kitazono, Dmitri Roussinov and Sang‐Wook Kim and has published in prestigious journals such as IEEE Access, Neurocomputing and Neural Networks.

In The Last Decade

Seiichi Ozawa

114 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seiichi Ozawa Japan 19 744 425 307 212 197 128 1.3k
Mineichi Kudo Japan 18 734 1.0× 611 1.4× 238 0.8× 109 0.5× 137 0.7× 111 1.7k
Ayhan Demiriz Türkiye 11 888 1.2× 550 1.3× 148 0.5× 114 0.5× 168 0.9× 30 1.4k
Len Hamey Australia 16 494 0.7× 224 0.5× 194 0.6× 283 1.3× 104 0.5× 61 936
Jialiang Peng China 18 468 0.6× 378 0.9× 314 1.0× 214 1.0× 357 1.8× 50 1.3k
Haoxiang Wang China 16 405 0.5× 645 1.5× 169 0.6× 306 1.4× 246 1.2× 45 1.5k
Ryohei Nakano Japan 14 887 1.2× 249 0.6× 200 0.7× 163 0.8× 83 0.4× 43 1.6k
Nasrollah Moghadam Charkari Iran 19 349 0.5× 508 1.2× 109 0.4× 132 0.6× 116 0.6× 112 1.2k
Jinyin Chen China 21 919 1.2× 185 0.4× 142 0.5× 295 1.4× 233 1.2× 129 1.5k
Fatih Kurugöllü United Kingdom 21 441 0.6× 875 2.1× 307 1.0× 285 1.3× 244 1.2× 110 1.7k

Countries citing papers authored by Seiichi Ozawa

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Ozawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiichi Ozawa

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

All Works

20 of 20 papers shown
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Tanveer, M., et al.. (2023). Neural Information Processing. Communications in computer and information science. 1 indexed citations
4.
Tanveer, M., Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, & Adam Jatowt. (2023). Neural Information Processing. Lecture notes in computer science.
5.
Tanveer, M., Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, & Adam Jatowt. (2023). Neural Information Processing. Lecture notes in computer science. 1 indexed citations
6.
Ozawa, Seiichi, et al.. (2022). eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision Trees. IEEE Access. 10. 43954–43963. 22 indexed citations
7.
Rodríguez, Pau, et al.. (2022). Frequency-Based Enhancement Network for Efficient Super-Resolution. IEEE Access. 10. 57383–57397. 9 indexed citations
8.
Kim, Sang-Wook, et al.. (2020). Deep Learning-based Object Detection for Crop Monitoring in Soybean Fields. 1–7. 16 indexed citations
9.
Ozawa, Seiichi, Asim Roy, & Dmitri Roussinov. (2009). A Multitask Learning Model for Online Pattern Recognition. IEEE Transactions on Neural Networks. 20(3). 430–445. 45 indexed citations
10.
Ozawa, Seiichi, et al.. (2006). Feature Extraction by Supervised Independent Component Analysis Based on Category Information. IEEJ Transactions on Electronics Information and Systems. 126(4). 542–547. 1 indexed citations
11.
Pang, Shaoning, Seiichi Ozawa, & Nikola Kasabov. (2005). Incremental Linear Discriminant Analysis for Classification of Data Streams. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 35(5). 905–914. 248 indexed citations
12.
Ozawa, Seiichi, et al.. (2005). Incremental learning of feature space and classifier for face recognition. Neural Networks. 18(5-6). 575–584. 72 indexed citations
13.
Ozawa, Seiichi, et al.. (2004). Feature Extraction Using Supervised Independent Component Analysis by Maximizing Class Distance. IEEJ Transactions on Electronics Information and Systems. 124(1). 157–163. 5 indexed citations
14.
Ozawa, Seiichi, et al.. (2003). A reinforcement learning algorithm for a class of dynamical environments using neural networks. Society of Instrument and Control Engineers of Japan. 2. 2004–2009. 2 indexed citations
15.
Ozawa, Seiichi, et al.. (2003). Reinforcement Learning Using Feedforward Neural Network with Memory Mechanism. Transactions of the Society of Instrument and Control Engineers. 39(12). 1129–1135.
16.
Ozawa, Seiichi, et al.. (2002). Incremental Learning Algorithm for Feedforward Neural Network with Long-Term Memory. Transactions of the Society of Instrument and Control Engineers. 38(9). 792–799. 1 indexed citations
17.
Miyata, Takeo, et al.. (2000). Acoustic Diagnosis with Modular Neural Networks to Adapt Dynamic Environment. Transactions of the Society of Instrument and Control Engineers. 36(9). 797–803. 3 indexed citations
18.
Maekawa, Satoshi, et al.. (2000). Signal Processing of Speech Using Independent Component Analysis Based on Information Maximization Algorithm. Transactions of the Society of Instrument and Control Engineers. 36(5). 456–458. 3 indexed citations
19.
Ozawa, Seiichi, et al.. (1998). Design of Modular Neural Network Architectures Using Genetic Algorithms. International Conference on Neural Information Processing. 1608–1611. 1 indexed citations
20.
Ozawa, Seiichi, et al.. (1997). An Autoassociative Memory Model Derived from a Modular Neural Network and a Diversity of the Association Properties. Transactions of the Institute of Systems Control and Information Engineers. 10(12). 668–678. 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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