Taewon Moon

475 total citations
25 papers, 348 citations indexed

About

Taewon Moon is a scholar working on Plant Science, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Taewon Moon has authored 25 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 6 papers in Ecology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Taewon Moon's work include Greenhouse Technology and Climate Control (20 papers), Leaf Properties and Growth Measurement (12 papers) and Smart Agriculture and AI (11 papers). Taewon Moon is often cited by papers focused on Greenhouse Technology and Climate Control (20 papers), Leaf Properties and Growth Measurement (12 papers) and Smart Agriculture and AI (11 papers). Taewon Moon collaborates with scholars based in South Korea, Thailand and Nigeria. Taewon Moon's co-authors include Jung Eek Son, Tae In Ahn, Dae Ho Jung, Ha Young Choi, Woo Hyun Kang, Jae-Woo Kim, Ji-Yong Shin, Joon Woo Lee, Hong Jiang and In Ho Kim and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Agricultural and Forest Meteorology.

In The Last Decade

Taewon Moon

25 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taewon Moon South Korea 12 247 49 46 24 24 25 348
D Muthumanickam India 4 208 0.8× 31 0.6× 48 1.0× 35 1.5× 14 0.6× 33 414
Isabella Righini Netherlands 8 256 1.0× 51 1.0× 34 0.7× 19 0.8× 9 0.4× 14 320
K P Ragunath India 8 227 0.9× 47 1.0× 63 1.4× 46 1.9× 13 0.5× 48 451
Md Nasim Reza South Korea 12 265 1.1× 29 0.6× 89 1.9× 55 2.3× 42 1.8× 63 441
K. Hatou Japan 11 251 1.0× 30 0.6× 56 1.2× 31 1.3× 43 1.8× 46 344
Tusan Park South Korea 12 179 0.7× 16 0.3× 36 0.8× 18 0.8× 21 0.9× 42 384
Liying Chang China 15 360 1.5× 25 0.5× 54 1.2× 17 0.7× 47 2.0× 43 553
Yushin Ha South Korea 11 133 0.5× 14 0.3× 32 0.7× 47 2.0× 22 0.9× 47 324
Wenxi Li China 7 102 0.4× 23 0.5× 69 1.5× 37 1.5× 26 1.1× 35 289
Lijun Chen China 11 295 1.2× 31 0.6× 20 0.4× 20 0.8× 5 0.2× 39 412

Countries citing papers authored by Taewon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Taewon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taewon Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Taewon Moon. A scholar is included among the top collaborators of Taewon Moon 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 Taewon Moon. Taewon Moon 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.
2.
Moon, Taewon, et al.. (2023). Evaluation of the light use efficiency and water use efficiency of sweet peppers subjected to supplemental interlighting in greenhouses. Horticulture Environment and Biotechnology. 64(4). 605–614. 7 indexed citations
3.
Moon, Taewon, et al.. (2023). Calibration of food and feed crop models for sweet peppers with Bayesian optimization. Horticulture Environment and Biotechnology. 64(4). 615–625. 2 indexed citations
4.
Moon, Taewon, et al.. (2023). Process-Based Crop Modeling for High Applicability with Attention Mechanism and Multitask Decoders. Plant Phenomics. 5. 35–35. 5 indexed citations
5.
Moon, Taewon, et al.. (2022). Supplemental inter-lighting with additional far-red to red and blue light increases the growth and yield of greenhouse sweet peppers (Capsicum annuum L.) in winter. Horticulture Environment and Biotechnology. 64(1). 83–95. 14 indexed citations
6.
Moon, Taewon, et al.. (2022). Non-Destructive Monitoring of Crop Fresh Weight and Leaf Area with a Simple Formula and a Convolutional Neural Network. Sensors. 22(20). 7728–7728. 6 indexed citations
8.
Lee, Joongku, Taewon Moon, & Jung Eek Son. (2021). Development of Growth Estimation Algorithms for Hydroponic Bell Peppers Using Recurrent Neural Networks. Horticulturae. 7(9). 284–284. 7 indexed citations
9.
Moon, Taewon, Joon Woo Lee, & Jung Eek Son. (2021). Accurate Imputation of Greenhouse Environment Data for Data Integrity Utilizing Two-Dimensional Convolutional Neural Networks. Sensors. 21(6). 2187–2187. 9 indexed citations
10.
Moon, Taewon & Jung Eek Son. (2021). Knowledge transfer for adapting pre-trained deep neural models to predict different greenhouse environments based on a low quantity of data. Computers and Electronics in Agriculture. 185. 106136–106136. 21 indexed citations
11.
Moon, Taewon, et al.. (2020). Prediction of CO2 Concentration via Long Short-Term Memory Using Environmental Factors in Greenhouses. Horticultural Science and Technology. 38(2). 201–209. 15 indexed citations
13.
Kang, Woo Hyun, et al.. (2020). Estimating the leaf area index of bell peppers according to growth stage using ray-tracing simulation and a long short-term memory algorithm. Horticulture Environment and Biotechnology. 61(2). 255–265. 15 indexed citations
14.
Moon, Taewon, Tae In Ahn, & Jung Eek Son. (2019). Long short-term memory for a model-free estimation of macronutrient ion concentrations of root-zone in closed-loop soilless cultures. Plant Methods. 15(1). 59–59. 26 indexed citations
15.
Moon, Taewon, et al.. (2019). Interpolation of greenhouse environment data using multilayer perceptron. Computers and Electronics in Agriculture. 166. 105023–105023. 50 indexed citations
16.
Moon, Taewon, et al.. (2019). Estimating transpiration rates of hydroponically-grown paprika via an artificial neural network using aerial and root-zone environments and growth factors in greenhouses. Horticulture Environment and Biotechnology. 60(6). 913–923. 26 indexed citations
18.
Moon, Taewon, et al.. (2018). Estimation of Leaf Area in Paprika Based on LeafLength, Leaf Width, and Node Number UsingRegression Models and an Artificial Neural Network. Horticultural Science and Technology. 36(2). 183–192. 9 indexed citations
19.
Moon, Taewon, et al.. (2003). Effects of Dietary Supplementation of Fermented Chitin-chitosan (FERMKIT) on Toxicity of Mycotoxin in Ducks. Asian-Australasian Journal of Animal Sciences. 16(5). 706–713. 14 indexed citations
20.

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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