Naonori Ueda

6.7k total citations
172 papers, 4.2k citations indexed

About

Naonori Ueda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Naonori Ueda has authored 172 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 49 papers in Computer Vision and Pattern Recognition and 24 papers in Signal Processing. Recurrent topics in Naonori Ueda's work include Bayesian Methods and Mixture Models (21 papers), Human Mobility and Location-Based Analysis (15 papers) and Text and Document Classification Technologies (14 papers). Naonori Ueda is often cited by papers focused on Bayesian Methods and Mixture Models (21 papers), Human Mobility and Location-Based Analysis (15 papers) and Text and Document Classification Technologies (14 papers). Naonori Ueda collaborates with scholars based in Japan, Malaysia and Iran. Naonori Ueda's co-authors include Ryohei Nakano, Takeshi Yamada, Kazumi Saito, Bahareh Kalantar, Tomoharu Iwata, Zoubin Ghahramani, Alfian Abdul Halin, Vahideh Saeidi, Joshua B. Tenenbaum and Thomas L. Griffiths and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Naonori Ueda

161 papers receiving 4.0k citations

Peers

Countries citing papers authored by Naonori Ueda

Since Specialization

Citations

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

Fields of papers citing papers by Naonori Ueda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naonori Ueda

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

#	Work	Indexed citations
1	SHapley Additive exPlanations (SHAP) for Landslide Susceptibility Models: Shedding Light on Explainable AI 2025 ·ISPRS annals of the photogrammetry, remote sensing and spatial information sciences ·Husam Al-Najjar, Bahareh Kalantar, Biswajeet Pradhan, Ghassan Beydoun, Naonori Ueda	0
2	Efficient Network Representation Learning via Cluster Similarity 2023 ·Data Science and Engineering ·Yasuhiro Fujiwara, (unknown), (unknown), Masahiro Nakano, (unknown), Naonori Ueda	3
3	Performance Evaluation of Hospital Site Suitability Using Multilayer Perceptron (MLP) and Analytical Hierarchy Process (AHP) Models in Malacca, Malaysia 2022 ·Sustainability ·(unknown), Abdul Rashid Mohamed Shariff, Bahareh Kalantar, Ahmad Fikri Abdullah, Sharifah Norkhadijah Syed Ismail, Naonori Ueda	17
4	Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model 2022 ·Journal of Sensors ·Seyd Teymoor Seydi, Vahideh Saeidi, Bahareh Kalantar, Naonori Ueda, J.L. van Genderen, (unknown), (unknown)	14
5	Fire-Net: A Deep Learning Framework for Active Forest Fire Detection 2022 ·Journal of Sensors ·Seyd Teymoor Seydi, Vahideh Saeidi, Bahareh Kalantar, Naonori Ueda, Alfian Abdul Halin	98
6	Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia 2021 ·Remote Sensing ·Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Saeid Janizadeh, (unknown), Kourosh Ahmadi, Farzin Shabani	64
7	Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data 2020 ·Remote Sensing ·Kourosh Ahmadi, Bahareh Kalantar, Vahideh Saeidi, (unknown), Saeid Janizadeh, Naonori Ueda	46
8	Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations 2020 ·Artificial Intelligence ·Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka	2
9	Baxter Permutation Process 2020 ·Neural Information Processing Systems ·(unknown), Akisato Kimura, Takeshi Yamada, Naonori Ueda	2
10	Understanding Nursing Activities with Long-term Mobile Activity Recognition with Big Dataset 2016 ·Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications ·Sozo Inoue, Naonori Ueda, Yasunobu Nohara, Naoki Nakashima	3
11	Polynomial networks and factorization machines: new insights and efficient training algorithms 2016 ·International Conference on Machine Learning ·Mathieu Blondel, (unknown), Akinori Fujino, Naonori Ueda	14
12	Rectangular Tiling Process 2014 ·International Conference on Machine Learning ·(unknown), Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda	10
13	Subset Infinite Relational Models 2012 ·International Conference on Artificial Intelligence and Statistics ·Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada	10
14	Topic tracking model for analyzing consumer purchase behavior 2009 ·International Joint Conference on Artificial Intelligence ·Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda	88
15	Personalized Recommendation by Identifying Innovator 2007 ·IEICE Technical Report; IEICE Tech. Rep. ·(unknown), Takeshi Yamada, Naonori Ueda	2
16	Semi-supervised learning for multi-component data classification 2007 ·International Joint Conference on Artificial Intelligence ·Akinori Fujino, Naonori Ueda, Kazumi Saito	1
17	Cross-entropy directed embedding of network data 2003 ·International Conference on Machine Learning ·Takeshi Yamada, Kazumi Saito, Naonori Ueda	11
18	Analysis of Generalization Error on Ensemble Learning 1997 ·Transactions of the Institute of Electronics, Information and Communication Engineers ·Naonori Ueda, Ryohei Nakano	0
19	Self-Organization of Feature Columns and its Application to Object Classification. 1997 ·International Conference on Neural Information Processing ·Satoshi Suzuki, Naonori Ueda	0
20	Deterministic Annealing Variant of the EM Algorithm 1994 ·Neural Information Processing Systems ·Naonori Ueda, Ryohei Nakano	46

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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