Masayasu Maki

834 total citations
42 papers, 638 citations indexed

About

Masayasu Maki is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Masayasu Maki has authored 42 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ecology, 15 papers in Environmental Engineering and 15 papers in Plant Science. Recurrent topics in Masayasu Maki's work include Remote Sensing in Agriculture (25 papers), Remote Sensing and LiDAR Applications (11 papers) and Remote Sensing and Land Use (10 papers). Masayasu Maki is often cited by papers focused on Remote Sensing in Agriculture (25 papers), Remote Sensing and LiDAR Applications (11 papers) and Remote Sensing and Land Use (10 papers). Masayasu Maki collaborates with scholars based in Japan, Thailand and United States. Masayasu Maki's co-authors include Masayuki Tamura, Koki Homma, Kazuo Oki, Yoshihiro Hirooka, Yuki Saito, Tsuyoshi Akiyama, Yasunori Muramoto, Shinya Tanaka, Kensuke Kawamura and Soo Chin Liew and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Sensors.

In The Last Decade

Masayasu Maki

42 papers receiving 615 citations

Peers

Masayasu Maki

ECOLO

GPC

Anne Jacquin France

Yanghui Kang United States

Abdelraouf M. Ali Egypt

Grant M. Casady United States

B. Akhmedov United States

Claire Marais-Sicre France

Amanda Veloso France

Wai‐Tim Ng Austria

Luis Carrasco United States

Matteo G. Ziliani Saudi Arabia

Anne Jacquin France

Masayasu Maki

389 ×0.9

ECOLO

257 ×1.0

GPC

208 ×0.8

163 ×0.8

74 ×0.9

Citations per year, relative to Masayasu Maki Masayasu Maki (= 1×) peers Anne Jacquin

Countries citing papers authored by Masayasu Maki

Since Specialization

Citations

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

Fields of papers citing papers by Masayasu Maki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayasu Maki

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

Homma, Koki, et al.. (2023). Multimodal Deep Learning for Rice Yield Prediction Using UAV-Based Multispectral Imagery and Weather Data. Remote Sensing. 15(10). 2511–2511. 32 indexed citations

Saito, Yuki, et al.. (2023). Relationship between Leaf Area Index and Yield Components in Farmers’ Paddy Fields. AgriEngineering. 5(4). 1754–1765. 5 indexed citations

Maki, Masayasu, et al.. (2023). Monitoring spatial and time-series variations in red crown rot damage of soybean in farmer fields based on UAV remote sensing. Plant Production Science. 26(1). 36–47. 16 indexed citations

Zhang, Lina, et al.. (2023). Validation of Relation between SPAD and Rice Grain Protein Content in Farmer Fields in the Coastal Area of Sendai, Japan. AgriEngineering. 5(1). 369–379. 5 indexed citations

Lubis, Iskandar, Ahmad Junaedi, Bambang H. Trisasongko, et al.. (2022). Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia. Agriculture. 13(1). 113–113. 9 indexed citations

Maki, Masayasu, et al.. (2022). Impact of changes in the relationship between salinity and soil moisture on remote sensing data usage in northeast Thailand. Hydrological Research Letters. 16(2). 54–58. 7 indexed citations

Maki, Masayasu, et al.. (2022). Yearly change in severely salt-damaged areas in paddy fields in Ban Phai in Northeast Thailand. Hydrological Research Letters. 16(1). 7–11. 5 indexed citations

Maki, Masayasu, et al.. (2022). Rice Production in Farmer Fields in Soil Salinity Classified Areas in Khon Kaen, Northeast Thailand. Sustainability. 14(16). 9873–9873. 9 indexed citations

Homma, Koki, et al.. (2020). Analysis of RGB Images to Estimate SPAD Values in Rice for UAV Remote Sensing. Japanese Journal of Crop Science. 89(1). 50–51. 1 indexed citations

10.

Homma, Koki, Masayasu Maki, & Yoshihiro Hirooka. (2017). Development of a rice simulation model for remote-sensing (SIMRIW-RS). Journal of Agricultural Meteorology. 73(1). 9–15. 17 indexed citations

11.

Tanaka, Kenji, Keigo Noda, Kazuo Oki, et al.. (2013). Future Water Availability in the Asian Monsoon Region: A Case Study in Indonesia. 8(1). 25–31. 9 indexed citations

12.

Maki, Masayasu, et al.. (2013). Rice-Planted Area Mapping Using Small Sets of Multi-Temporal SAR Data. IEEE Geoscience and Remote Sensing Letters. 10(6). 1507–1511. 19 indexed citations

13.

Maki, Masayasu, et al.. (2012). Development of the Method to Estimate Light Environment on Forest FloorUsing 3D Portable Laser Scanner and Radiative Transfer Model. National Remote Sensing Bulletin. 32(2). 77–87. 2 indexed citations

14.

Homma, Koki, et al.. (2012). Research on detection of rice ecotypes by canopy spectral reflectance. 2030–2037. 2 indexed citations

15.

Maki, Masayasu, et al.. (2009). Study of a Method for Extracting LAI Time-Series Patterns for the Estimation of Crop Phenology. National Remote Sensing Bulletin. 29(2). 381–391. 3 indexed citations

16.

Maki, Masayasu, et al.. (2008). Mapping the Potential Distribution of Dwarf Bamboo Using Satellite Imagery and DEM. National Remote Sensing Bulletin. 28(1). 28–35. 5 indexed citations

17.

Tanaka, Shinya, et al.. (2008). Estimation and validation of leaf chlorophyll concentration in winter wheat at heading to anthesis stage using ground-based and aerial hyperspectral data. Journal of the Japan society of photogrammetry and remote sensing. 47(2). 39–49. 7 indexed citations

18.

Maki, Masayasu, Toshiharu Kojima, & Tsuyoshi Akiyama. (2007). Potential of ASTER DEM for Forest Ecological Research. National Remote Sensing Bulletin. 27(1). 39–45. 1 indexed citations

19.

Maki, Masayasu, Tsuyoshi Akiyama, Kenlo Nishida, & Nobuko Saigusa. (2005). Evaluation of the relationship between NDVI and LAI in cool-temperate deciduous forest. 3. 1746–1751. 1 indexed citations

20.

Maki, Masayasu & Masayuki Tamura. (2002). Comparison and Improvement of Large-scale Forest Fire Detection Methods Using NOAA/AVHRR Data for Russian Far East. National Remote Sensing Bulletin. 22(1). 32–39. 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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