Tusan Park

627 total citations
42 papers, 384 citations indexed

About

Tusan Park is a scholar working on Plant Science, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Tusan Park has authored 42 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 8 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Tusan Park's work include Smart Agriculture and AI (11 papers), Greenhouse Technology and Climate Control (10 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Tusan Park is often cited by papers focused on Smart Agriculture and AI (11 papers), Greenhouse Technology and Climate Control (10 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Tusan Park collaborates with scholars based in South Korea, United States and United Kingdom. Tusan Park's co-authors include Daniel Dooyum Uyeh, Rammohan Mallipeddi, Yushin Ha, Senorpe Asem-Hiablie, Md Nafiul Islam, Cheol Soo Kim, Kyeong–Hwan Lee, Sun‐Ok Chung, O-Jun Kwon and Mallesh Santhosh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Tusan Park

38 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tusan Park South Korea 12 179 47 43 36 35 42 384
Daniel Dooyum Uyeh South Korea 13 138 0.8× 34 0.7× 29 0.7× 39 1.1× 15 0.4× 45 433
Yushin Ha South Korea 11 133 0.7× 28 0.6× 23 0.5× 32 0.9× 15 0.4× 47 324
Feng Xiao China 13 109 0.6× 20 0.4× 17 0.4× 39 1.1× 75 2.1× 67 500
Fawad Khan Pakistan 14 276 1.5× 26 0.6× 21 0.5× 50 1.4× 70 2.0× 55 566
Xinliang Tian China 6 181 1.0× 24 0.5× 28 0.7× 60 1.7× 10 0.3× 15 329
Ioannis Malounas Greece 10 322 1.8× 38 0.8× 23 0.5× 89 2.5× 32 0.9× 12 507
Md Nasim Reza South Korea 12 265 1.5× 19 0.4× 22 0.5× 89 2.5× 26 0.7× 63 441
Yang Yan China 11 65 0.4× 27 0.6× 23 0.5× 17 0.5× 60 1.7× 65 357
Naseeb Singh India 11 160 0.9× 34 0.7× 16 0.4× 33 0.9× 25 0.7× 40 336
Frank Gyan Okyere South Korea 10 115 0.6× 32 0.7× 28 0.7× 34 0.9× 7 0.2× 22 316

Countries citing papers authored by Tusan Park

Since Specialization
Citations

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

Fields of papers citing papers by Tusan Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tusan Park

This figure shows the co-authorship network connecting the top 25 collaborators of Tusan Park. A scholar is included among the top collaborators of Tusan Park 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 Tusan Park. Tusan Park 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.
Uyeh, Daniel Dooyum, et al.. (2025). Many objective optimization and decision support for dairy cattle feed formulation. Scientific Reports. 15(1). 13451–13451. 1 indexed citations
2.
Nanda, Muhammad Achirul, et al.. (2025). Multi-parameter prediction of oil palm fruit quality through near infrared spectroscopy combined with chemometric analysis. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 343. 126505–126505.
3.
An, Jin Kyung, et al.. (2025). SmartBerry for AI-based growth stage classification and precision nutrition management in strawberry cultivation. Scientific Reports. 15(1). 14019–14019. 2 indexed citations
4.
Nanda, Muhammad Achirul, et al.. (2024). Higuchi fractal dimension and deep learning on near-infrared spectroscopy for determination of free fatty acid (FFA) content in oil palm fruit. Journal of Agriculture and Food Research. 18. 101437–101437. 5 indexed citations
5.
Njoku, Judith Nkechinyere, Cosmas Ifeanyi Nwakanma, Senorpe Asem-Hiablie, et al.. (2024). Estimation of physico-chemical properties of soil using machine learning. SHILAP Revista de lepidopterología. 9. 100679–100679. 3 indexed citations
6.
Santhosh, Mallesh & Tusan Park. (2024). Paper Microfluidics Based on rGO/Polyaniline Nanofibers for Sensing Pyridoxine. Journal of Biosystems Engineering. 49(1). 77–88. 1 indexed citations
7.
Uyeh, Daniel Dooyum, et al.. (2023). Greenhouse Micro-Climate Prediction Based on Fixed Sensor Placements: A Machine Learning Approach. Mathematics. 11(14). 3052–3052. 13 indexed citations
8.
Uyeh, Daniel Dooyum, Adesoji O. Adelaja, K. G. Gebremedhin, et al.. (2023). An Outlook on Harnessing Technological Innovative Competence in Sustainably Transforming African Agriculture. SHILAP Revista de lepidopterología. 7(9). 2300033–2300033. 6 indexed citations
9.
Mallipeddi, Rammohan, et al.. (2023). A genetic programming-based optimal sensor placement for greenhouse monitoring and control. Frontiers in Plant Science. 14. 5 indexed citations
10.
Santhosh, Mallesh & Tusan Park. (2023). Smartphone-integrated paper-based biosensor for sensitive fluorometric ethanol quantification. Microchimica Acta. 190(12). 477–477. 5 indexed citations
11.
Santhosh, Mallesh & Tusan Park. (2023). µPED based electrode modified with nanocomposite for the detection of proline: An abiotic stress biomarker in plant. 5(3). 153–161. 1 indexed citations
12.
Park, Tusan, et al.. (2021). Heating and emission characteristics of briquettes developed from spent coffee grounds. Environmental Engineering Research. 27(4). 210063–0. 10 indexed citations
13.
Uyeh, Daniel Dooyum, Senorpe Asem-Hiablie, Tusan Park, et al.. (2021). Could Japonica Rice Be an Alternative Variety for Increased Global Food Security and Climate Change Mitigation?. Foods. 10(8). 1869–1869. 15 indexed citations
14.
Dutta, Sayan Deb, Tusan Park, Keya Ganguly, et al.. (2021). Evaluation of the Sensing Potential of Stem Cell-Secreted Proteins via a Microchip Device under Electromagnetic Field Stimulation. ACS Applied Bio Materials. 4(9). 6853–6864. 8 indexed citations
15.
Uyeh, Daniel Dooyum, et al.. (2021). An evolutionary approach to robot scheduling in protected cultivation systems for uninterrupted and maximization of working time. Computers and Electronics in Agriculture. 187. 106231–106231. 7 indexed citations
16.
Uyeh, Daniel Dooyum, et al.. (2019). Evolutionary Greenhouse Layout Optimization for Rapid and Safe Robot Navigation. IEEE Access. 7. 88472–88480. 15 indexed citations
17.
Uyeh, Daniel Dooyum, et al.. (2018). Trends in Automation and Robotics in Protected Horticulture. 23(2). 244–244. 1 indexed citations
18.
Kim, Cheol Soo, et al.. (2018). Optimization of the ninhydrin reaction and development of a multiwell plate-based high-throughput proline detection assay. Analytical Biochemistry. 556. 57–62. 42 indexed citations
19.
Kwon, O-Jun & Tusan Park. (2017). Applications of Smartphone Cameras in Agriculture, Environment, and Food: A review. Journal of Biosystems Engineering. 42(4). 330–338. 14 indexed citations
20.
Park, Tusan, et al.. (2017). Working Principle of a Novel Three-directional Dumping Vehicle and Its Dumping Stability Analysis Under Ground-slope Conditions. Journal of Biosystems Engineering. 42(4). 235–241. 3 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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