Kuniaki Uto

932 total citations
56 papers, 655 citations indexed

About

Kuniaki Uto is a scholar working on Ecology, Atmospheric Science and Media Technology. According to data from OpenAlex, Kuniaki Uto has authored 56 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ecology, 22 papers in Atmospheric Science and 21 papers in Media Technology. Recurrent topics in Kuniaki Uto's work include Remote Sensing in Agriculture (31 papers), Remote Sensing and Land Use (22 papers) and Remote-Sensing Image Classification (20 papers). Kuniaki Uto is often cited by papers focused on Remote Sensing in Agriculture (31 papers), Remote Sensing and Land Use (22 papers) and Remote-Sensing Image Classification (20 papers). Kuniaki Uto collaborates with scholars based in Japan, Italy and France. Kuniaki Uto's co-authors include Yukio Kosugi, Genya Saito, Naofumi Tanaka, Hamed Akbari, Kazuyuki Kojima, Koichi Shinoda, Teruhisa Komatsu, Yoshiko Kosugi, Naoko Kosaka and Yohei Kosugi and has published in prestigious journals such as Optics Express, International Journal of Remote Sensing and Cancer Science.

In The Last Decade

Kuniaki Uto

51 papers receiving 623 citations

Peers

Kuniaki Uto

ECOLO

RNMI

Pierre Gouton France

Raúl Guerra Spain

Kenneth Laws Australia

Adeel Yousaf Pakistan

Hamid Saeed Khan Pakistan

Long Tian China

Javier Calpe Spain

Laure Tougne France

Chao-Cheng Wu Taiwan

Chengfan Li China

Pierre Gouton France

Kuniaki Uto

87 ×0.5

ECOLO

211 ×1.5

39 ×0.4

RNMI

120 ×1.3

57 ×0.6

Citations per year, relative to Kuniaki Uto Kuniaki Uto (= 1×) peers Pierre Gouton

Countries citing papers authored by Kuniaki Uto

Since Specialization

Citations

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

Fields of papers citing papers by Kuniaki Uto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuniaki Uto

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

Uto, Kuniaki, et al.. (2024). CAMOT: Camera Angle-aware Multi-Object Tracking. arXiv (Cornell University). 3 indexed citations

Mammarella, Martina, Takumi Shimizu, Lorenzo Comba, et al.. (2022). 3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. IFAC-PapersOnLine. 55(32). 271–276. 8 indexed citations

Shimizu, Takumi, et al.. (2021). Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks. IEEE Control Systems Letters. 6. 1831–1836. 15 indexed citations

Vinayaraj, Poliyapram, et al.. (2020). Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 1426–1437. 16 indexed citations

Uto, Kuniaki, et al.. (2019). Multimodal Fusion of BERT-CNN and Gated CNN Representations for Depression Detection. Tokyo Tech Research Repository (Tokyo Institute of Technology). 55–63. 101 indexed citations

Uto, Kuniaki, et al.. (2016). Measurement of a coastal area by a hyperspectral imager using an optical fiber bundle, a swing mirror and compact spectrometers. 1–4. 2 indexed citations

Uto, Kuniaki, et al.. (2015). Development of a Low-Cost, Lightweight Hyperspectral Imaging System Based on a Polygon Mirror and Compact Spectrometers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(2). 861–875. 20 indexed citations

Uto, Kuniaki, et al.. (2015). Development of hyperspectral imaging system using optical fiber bundle and swing mirror. 1–4. 2 indexed citations

Uto, Kuniaki, Yukio Kosugi, & Genya Saito. (2014). Semi-Supervised Hyperspectral Subspace Learning Based on a Generalized Eigenvalue Problem for Regression and Dimensionality Reduction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(6). 2583–2599. 8 indexed citations

10.

Uto, Kuniaki, et al.. (2013). Characterization of Rice Paddies by a UAV-Mounted Miniature Hyperspectral Sensor System. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2). 851–860. 106 indexed citations

11.

Uto, Kuniaki & Yoshiko Kosugi. (2012). Hyperspectral Manipulation for the Water Stress Evaluation of Plants. Philologist – Journal Of Langugage, Literary And Cultural Studies (University of Banja Luka). 1(1). 18–25. 3 indexed citations

12.

Akbari, Hamed, Kuniaki Uto, Yukio Kosugi, Kazuyuki Kojima, & Naofumi Tanaka. (2011). Cancer detection using infrared hyperspectral imaging. Cancer Science. 102(4). 852–857. 145 indexed citations

13.

Hashimoto, Noriaki, Yuri Murakami, Pinky A. Bautista, et al.. (2011). Multispectral image enhancement for effective visualization. Optics Express. 19(10). 9315–9315. 26 indexed citations

14.

Uto, Kuniaki, et al.. (2010). Statistical analysis of growth levels of rice paddy based on hyperspectral imagery with high spatial resolution. 1–4. 2 indexed citations

15.

Uto, Kuniaki, et al.. (2008). Hyperspectral Analysis of Japanese Oak Wilt to Determine Normalized Wilt Index. II–295. 14 indexed citations

16.

Monteiro, Sildomar T., et al.. (2006). Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization. Tokyo Tech Research Repository (Tokyo Institute of Technology). 7 indexed citations

17.

Monteiro, Sildomar T., Kuniaki Uto, Yukio Kosugi, Nobuyuki Kobayashi, & Eiju Watanabe. (2006). Optimization of Infrared Spectral Manipulation for Surgical Visual Aid. 8(1). 33–38. 5 indexed citations

18.

Uto, Kuniaki, et al.. (2005). Real-time extraction of readiness-potentials from EEG. 9. 1197–1200. 2 indexed citations

19.

Uto, Kuniaki, Naoko Kosaka, Yoshiko Kosugi, et al.. (2005). Salt-damaged paddy fields analyses using high-spatial-resolution hyperspectral imaging system. 3. 2153–2156. 9 indexed citations

20.

Kosaka, Naoko, et al.. (2005). Analysis of salt-damaged paddy field using SPOT5 satellite images in Yamagata Prefecture. 3. 1830–1833. 2 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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