Rei Sonobe

1.7k total citations
51 papers, 1.3k citations indexed

About

Rei Sonobe is a scholar working on Ecology, Plant Science and Analytical Chemistry. According to data from OpenAlex, Rei Sonobe has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Ecology, 24 papers in Plant Science and 22 papers in Analytical Chemistry. Recurrent topics in Rei Sonobe's work include Remote Sensing in Agriculture (38 papers), Spectroscopy and Chemometric Analyses (22 papers) and Leaf Properties and Growth Measurement (15 papers). Rei Sonobe is often cited by papers focused on Remote Sensing in Agriculture (38 papers), Spectroscopy and Chemometric Analyses (22 papers) and Leaf Properties and Growth Measurement (15 papers). Rei Sonobe collaborates with scholars based in Japan, Indonesia and Pakistan. Rei Sonobe's co-authors include Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi, Quan Wang, Kan-ichiro MOCHIZUKI, Yuki Yamaya, Yuhei Hirono, Hiroto Yamashita, Akio Morita and Takashi Ikka and has published in prestigious journals such as Scientific Reports, Journal of Environmental Management and International Journal of Remote Sensing.

In The Last Decade

Rei Sonobe

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rei Sonobe Japan 20 894 564 367 302 219 51 1.3k
Xiaohe Gu China 18 617 0.7× 455 0.8× 203 0.6× 318 1.1× 169 0.8× 117 1.0k
Ittai Herrmann Israel 20 948 1.1× 907 1.6× 452 1.2× 285 0.9× 230 1.1× 48 1.5k
Matthias Wocher Germany 13 892 1.0× 488 0.9× 257 0.7× 404 1.3× 274 1.3× 20 1.1k
Heli Li China 12 837 0.9× 718 1.3× 210 0.6× 398 1.3× 180 0.8× 33 1.2k
Stephanie Delalieux Belgium 22 892 1.0× 486 0.9× 277 0.8× 331 1.1× 310 1.4× 51 1.4k
K. R. Manjunath India 19 560 0.6× 250 0.4× 122 0.3× 222 0.7× 267 1.2× 46 966
Katja Berger Germany 24 1.6k 1.8× 841 1.5× 420 1.1× 796 2.6× 569 2.6× 54 2.0k
Nathalie Gorretta France 19 654 0.7× 541 1.0× 491 1.3× 417 1.4× 142 0.6× 38 1.3k
Thomas Jarmer Germany 17 601 0.7× 349 0.6× 206 0.6× 661 2.2× 156 0.7× 57 1.2k
Hengbiao Zheng China 30 2.0k 2.2× 1.4k 2.5× 475 1.3× 924 3.1× 510 2.3× 66 2.5k

Countries citing papers authored by Rei Sonobe

Since Specialization
Citations

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

Fields of papers citing papers by Rei Sonobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rei Sonobe

This figure shows the co-authorship network connecting the top 25 collaborators of Rei Sonobe. A scholar is included among the top collaborators of Rei Sonobe 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 Rei Sonobe. Rei Sonobe 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
1.
Tsuchiya, Yuta, Yuhei Hirono, & Rei Sonobe. (2025). Estimating chlorophyll content in tea leaves using spectral reflectance and deep learning methods. Ecological Informatics. 91. 103399–103399. 1 indexed citations
2.
Tsuchiya, Yuta, et al.. (2025). Optimizing chlorophyll content prediction in tea leaves via spectral transformations and deep learning. BMC Plant Biology. 26(1). 26–26.
3.
Sonobe, Rei & Yuhei Hirono. (2023). Carotenoid Content Estimation in Tea Leaves Using Noisy Reflectance Data. Remote Sensing. 15(17). 4303–4303. 6 indexed citations
4.
Sonobe, Rei, et al.. (2022). Simulation of NDVI imagery using Generative Adversarial Network and Sentinel-1 C-SAR data. Journal of the Japan society of photogrammetry and remote sensing. 61(2). 80–87. 1 indexed citations
5.
Sonobe, Rei, et al.. (2022). Adding simulated NDVI images can be effective for identifying crop types from Sentinel-1 C-SAR data. Journal of the Japan society of photogrammetry and remote sensing. 61(5). 332–338.
6.
7.
Sonobe, Rei, et al.. (2022). Evaluation of a One-Dimensional Convolution Neural Network for Chlorophyll Content Estimation Using a Compact Spectrometer. Remote Sensing. 14(9). 1997–1997. 11 indexed citations
8.
Yamashita, Hiroto, Rei Sonobe, Yuhei Hirono, Akio Morita, & Takashi Ikka. (2021). Potential of spectroscopic analyses for non-destructive estimation of tea quality-related metabolites in fresh new leaves. Scientific Reports. 11(1). 4169–4169. 7 indexed citations
9.
10.
Sonobe, Rei, et al.. (2021). Hyperspectral wavelength selection for estimating chlorophyll content of muskmelon leaves. European Journal of Remote Sensing. 54(1). 513–524. 12 indexed citations
11.
Yamashita, Hiroto, Rei Sonobe, Yuhei Hirono, Akio Morita, & Takashi Ikka. (2020). Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms. Scientific Reports. 10(1). 17360–17360. 52 indexed citations
12.
13.
Sonobe, Rei & Quan Wang. (2018). Assessing hyperspectral indices for tracing chlorophyll fluorescence parameters in deciduous forests. Journal of Environmental Management. 227. 172–180. 20 indexed citations
14.
Sonobe, Rei, Yuki Yamaya, Hiroshi Tani, et al.. (2018). Evaluating metrics derived from Landsat 8 OLI imagery to map crop cover. Geocarto International. 34(8). 839–855. 8 indexed citations
15.
Sonobe, Rei & Quan Wang. (2017). Towards a Universal Hyperspectral Index to Assess Chlorophyll Content in Deciduous Forests. Remote Sensing. 9(3). 191–191. 30 indexed citations
16.
Sonobe, Rei, et al.. (2014). Random forest classification of crop type using multi-temporal TerraSAR-X dual-polarimetric data. Remote Sensing Letters. 5(2). 157–164. 98 indexed citations
17.
Sonobe, Rei, et al.. (2014). Discrimination of crop types with TerraSAR-X-derived information. Physics and Chemistry of the Earth Parts A/B/C. 83-84. 2–13. 43 indexed citations
18.
Sonobe, Rei, et al.. (2014). Winter Wheat Growth Monitoring Using Multi-temporal TerraSAR-X Dual-polarimetric Data. Japan Agricultural Research Quarterly JARQ. 48(4). 471–476. 6 indexed citations
19.
Sonobe, Rei & Hiroshi Tani. (2009). Application of the Sahebi model using ALOS/PALSAR and 66.3 cm long surface profile data. International Journal of Remote Sensing. 30(22). 6069–6074. 8 indexed citations
20.
Sonobe, Rei, Hiroshi Tani, Xiufeng Wang, & Masami Fukuda. (2008). Estimation of Soil Moisture for Bare Soil Fields Using ALOS/PALSAR HH Polarization Data. Agricultural Information Research. 17(4). 171–177. 6 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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