Tri Setiyono

1.8k total citations · 1 hit paper
30 papers, 1.1k citations indexed

About

Tri Setiyono is a scholar working on Plant Science, Ecology and Agronomy and Crop Science. According to data from OpenAlex, Tri Setiyono has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 11 papers in Ecology and 7 papers in Agronomy and Crop Science. Recurrent topics in Tri Setiyono's work include Remote Sensing in Agriculture (11 papers), Soybean genetics and cultivation (9 papers) and Smart Agriculture and AI (6 papers). Tri Setiyono is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Soybean genetics and cultivation (9 papers) and Smart Agriculture and AI (6 papers). Tri Setiyono collaborates with scholars based in United States, Philippines and India. Tri Setiyono's co-authors include Kenneth G. Cassman, Achim Dobermann, A. Weiss, James E. Specht, Daniel T. Walters, J. E. Specht, Christian Witt, George L. Graef, Roger W. Elmore and Haishun Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

Tri Setiyono

28 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

2024 41 citations Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tri Setiyono United States	16	810	345	242	183	164	30	1.1k
Raí Augusto Schwalbert Brazil	19	795 1.0×	319 0.9×	190 0.8×	361 2.0×	116 0.7×	45	1.1k
J. R. B. Farias Brazil	27	1.6k 2.0×	214 0.6×	329 1.4×	314 1.7×	151 0.9×	84	1.9k
Xiaogang Yin China	20	422 0.5×	293 0.8×	278 1.1×	177 1.0×	295 1.8×	49	953
Spyridon Mourtzinis United States	19	813 1.0×	392 1.1×	215 0.9×	156 0.9×	288 1.8×	49	1.2k
Yoichiro Kato Japan	27	2.0k 2.4×	265 0.8×	435 1.8×	139 0.8×	210 1.3×	84	2.2k
Hubert Hüging Germany	13	380 0.5×	134 0.4×	153 0.6×	98 0.5×	118 0.7×	24	577
Brenda V. Ortiz United States	18	481 0.6×	122 0.4×	182 0.8×	194 1.1×	203 1.2×	64	891
Tsutomu Matsui Japan	22	1.6k 1.9×	197 0.6×	261 1.1×	249 1.4×	622 3.8×	61	1.9k
Shaokun Li China	14	615 0.8×	312 0.9×	124 0.5×	248 1.4×	50 0.3×	45	840
W. Stol Netherlands	14	439 0.5×	196 0.6×	148 0.6×	87 0.5×	273 1.7×	22	751

Countries citing papers authored by Tri Setiyono

Since Specialization

Citations

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

Fields of papers citing papers by Tri Setiyono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tri Setiyono

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shiratsuchi, Luciano Shozo, et al.. (2025). A neural network approach employed to classify soybean plants using multi-sensor images. Precision Agriculture. 26(2).

Hendrix, James L., et al.. (2025). Cover Crop Biomass Predictions with Unmanned Aerial Vehicle Remote Sensing and TensorFlow Machine Learning. Drones. 9(2). 131–131. 3 indexed citations

Dodla, Syam K., et al.. (2025). Characterizing Optimum N Rate in Waterlogged Maize (Zea mays L.) with Unmanned Aerial Vehicle (UAV) Remote Sensing. Agronomy. 15(2). 434–434. 1 indexed citations

Setiyono, Tri, et al.. (2025). Identification of soybean planting gaps using machine learning. Smart Agricultural Technology. 10. 100779–100779. 5 indexed citations

Setiyono, Tri, et al.. (2024). Application of TensorFlow model for identification of herbaceous mimosa (Mimosa strigillosa) from digital images. SHILAP Revista de lepidopterología. 7. 100400–100400. 3 indexed citations

Júnior, Marcelo Rodrigues Barbosa, Bruno Rafael de Almeida Moreira, Danilo Tedesco, et al.. (2024). Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption. Computers and Electronics in Agriculture. 221. 108993–108993. 41 indexed citations breakdown →

Setiyono, Tri. (2024). Precise Positioning in Nitrogen Fertility Sensing in Maize (Zea mays L.). Sensors. 24(16). 5322–5322. 2 indexed citations

Júnior, Marcelo Rodrigues Barbosa, et al.. (2024). Integrated sensing and machine learning: Predicting saccharine and bioenergy feedstocks in sugarcane. Industrial Crops and Products. 215. 118627–118627. 5 indexed citations

Chebotarov, Dmytro, Millicent D. Alexandrov Sanciangco, Valerien O. Pede, et al.. (2021). Novel Sources of Pre-Harvest Sprouting Resistance for Japonica Rice Improvement. Plants. 10(8). 1709–1709. 14 indexed citations

10.

Hellin, Jon, Jean Balié, Eleanor Fisher, et al.. (2020). Trans-Disciplinary Responses to Climate Change: Lessons from Rice-Based Systems in Asia. Climate. 8(2). 35–35. 19 indexed citations

11.

Pazhanivelan, S, et al.. (2019). INTEGRATING TIME-SERIES SAR DATA AND ORYZA CROP GROWTH MODEL IN RICE AREA MAPPING AND YIELD ESTIMATION FOR CROP INSURANCES. SHILAP Revista de lepidopterología. XLII-3/W6. 239–243. 4 indexed citations

12.

Setiyono, Tri, F. Holecz, Nasreen Islam Khan, et al.. (2017). Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia. IOP Conference Series Earth and Environmental Science. 54. 12015–12015. 18 indexed citations

13.

Holecz, Francesco, Massimo Barbieri, Francesco Collivignarelli, et al.. (2013). An operational remote sensing based service for rice production estimation at national scale. University of Twente Research Information. 722. 120. 23 indexed citations

14.

Nelson, Andrew, Tri Setiyono, Eduardo Jimmy Quilang, et al.. (2013). Remote sensing-based information and insurance for crops in emerging economies (RIICE): The Philippine's experience. Civil War Book Review. 1465–1470. 2 indexed citations

15.

Setiyono, Tri, Andrew Nelson, A. Maunahan, et al.. (2012). Application of remote sensing in crop growth simulation and an ensembles approach to reduce model uncertainties. AGUFM. 2012. 1 indexed citations

16.

Torrion, Jessica A., Tri Setiyono, Kenneth G. Cassman, et al.. (2012). Soybean Root Development Relative to Vegetative and Reproductive Phenology. Agronomy Journal. 104(6). 1702–1709. 21 indexed citations

17.

Setiyono, Tri, Haishun Yang, Daniel T. Walters, et al.. (2011). Maize‐N: A Decision Tool for Nitrogen Management in Maize. Agronomy Journal. 103(4). 1276–1283. 67 indexed citations

18.

Setiyono, Tri, Kenneth G. Cassman, James E. Specht, et al.. (2010). Simulation of soybean growth and yield in near-optimal growth conditions. Field Crops Research. 119(1). 161–174. 90 indexed citations

19.

Setiyono, Tri, Daniel T. Walters, Kenneth G. Cassman, Christian Witt, & Achim Dobermann. (2010). Estimating maize nutrient uptake requirements. Field Crops Research. 118(2). 158–168. 176 indexed citations

20.

Setiyono, Tri, A. Weiss, J. E. Specht, Kenneth G. Cassman, & Achim Dobermann. (2008). Leaf area index simulation in soybean grown under near-optimal conditions. Field Crops Research. 108(1). 82–92. 80 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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