Dae-Hyun Lee

1.5k total citations
109 papers, 802 citations indexed

About

Dae-Hyun Lee is a scholar working on Plant Science, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Dae-Hyun Lee has authored 109 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 30 papers in Civil and Structural Engineering and 29 papers in Mechanical Engineering. Recurrent topics in Dae-Hyun Lee's work include Soil Mechanics and Vehicle Dynamics (28 papers), Agricultural Engineering and Mechanization (21 papers) and Smart Agriculture and AI (14 papers). Dae-Hyun Lee is often cited by papers focused on Soil Mechanics and Vehicle Dynamics (28 papers), Agricultural Engineering and Mechanization (21 papers) and Smart Agriculture and AI (14 papers). Dae-Hyun Lee collaborates with scholars based in South Korea, United States and Spain. Dae-Hyun Lee's co-authors include Yong‐Joo Kim, Wan-Soo Kim, Taehyeong Kim, Changhyun Choi, Sun‐Ok Chung, Won Suk Lee, Samooel Jung, Seonmin Lee, Kyung Jo and Young Ku and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Frontiers in Plant Science.

In The Last Decade

Dae-Hyun Lee

88 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae-Hyun Lee South Korea 15 291 198 149 86 81 109 802
Santosh Pitla United States 16 372 1.3× 120 0.6× 142 1.0× 43 0.5× 14 0.2× 56 788
Glen C. Rains United States 22 754 2.6× 117 0.6× 116 0.8× 55 0.6× 26 0.3× 110 1.4k
Fuzeng Yang China 17 606 2.1× 203 1.0× 109 0.7× 191 2.2× 14 0.2× 50 1.1k
Kaixuan Zhao China 15 204 0.7× 87 0.4× 150 1.0× 54 0.6× 180 2.2× 48 676
Jiangtao Qi China 11 298 1.0× 62 0.3× 84 0.6× 72 0.8× 14 0.2× 40 617
Jinhui Li China 12 754 2.6× 134 0.7× 38 0.3× 179 2.1× 32 0.4× 29 1.1k
Xiongzhe Han South Korea 17 467 1.6× 71 0.4× 113 0.8× 81 0.9× 10 0.1× 66 809
A.R. Frost United Kingdom 14 180 0.6× 97 0.5× 49 0.3× 61 0.7× 149 1.8× 39 807
Michio Kise United States 12 294 1.0× 67 0.3× 89 0.6× 88 1.0× 9 0.1× 37 461
Tingyu Liu China 19 92 0.3× 93 0.5× 105 0.7× 35 0.4× 44 0.5× 102 989

Countries citing papers authored by Dae-Hyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Hyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Hyun Lee. 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 Dae-Hyun Lee. The network helps show where Dae-Hyun Lee may publish in the future.

Co-authorship network of co-authors of Dae-Hyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dae-Hyun Lee. A scholar is included among the top collaborators of Dae-Hyun Lee 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 Dae-Hyun Lee. Dae-Hyun Lee 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
2.
Wang, Pingan, et al.. (2024). Development of an autonomous drone spraying control system based on the coefficient of variation of spray distribution. Computers and Electronics in Agriculture. 227. 109529–109529. 5 indexed citations
3.
Lee, Dae-Hyun, et al.. (2024). Sensor-type agnostic heat detection in dairy cows using multi-autoencoders with shared latent space. Applied Soft Computing. 166. 112200–112200. 2 indexed citations
4.
Lee, Wang‐Hee, et al.. (2024). Mastitis Classification in Dairy Cows Using Weakly Supervised Representation Learning. Agriculture. 14(11). 2084–2084. 1 indexed citations
5.
Jung, Jaemin, et al.. (2024). Multi-algorithmic approach for detecting outliers in cattle intake data. Journal of Agriculture and Food Research. 15. 101021–101021. 4 indexed citations
6.
Reza, Md Nasim, et al.. (2024). Theoretical kinematic analysis of a sliding-type picking mechanism for automatic pepper seedling transplanters. Korean Journal of Agricultural Science. 51(4). 497–511.
7.
Jo, Kyung, Seonmin Lee, Hyeun Bum Kim, et al.. (2024). Relationship of Hot Carcass Weight and Back Fat Thickness with the Fatness of Whole Pork Belly and Belly Slices. Food Science of Animal Resources. 44(6). 1462–1469. 2 indexed citations
8.
Kim, Taehyeong, et al.. (2023). 2D pose estimation of multiple tomato fruit-bearing systems for robotic harvesting. Computers and Electronics in Agriculture. 211. 108004–108004. 20 indexed citations
9.
Lee, Dae-Hyun, et al.. (2023). Domain adapted broiler density map estimation using negative-patch data augmentation. Biosystems Engineering. 231. 165–177. 3 indexed citations
10.
Han, Xiongzhe, et al.. (2023). Modeling of the control logic of a UASS based on coefficient of variation spraying distribution analysis in an indoor flight simulator. Frontiers in Plant Science. 14. 1235548–1235548. 3 indexed citations
11.
Lee, Dae-Hyun, et al.. (2023). Analysis of spraying performance of agricultural drones according to flight conditions. Korean Journal of Agricultural Science. 50(3). 469–477. 2 indexed citations
12.
Kim, Tae-Hyeong, et al.. (2022). Estimation of tomato maturity as a continuous index using deep neural networks. Korean Journal of Agricultural Science. 49(4). 837–845. 1 indexed citations
13.
Lee, Dae-Hyun, et al.. (2022). Agricultural tractor roll over protective structure (ROPS) test using simplified ROPS model. Korean Journal of Agricultural Science. 49(4). 823–835. 1 indexed citations
15.
Jo, Kyung, et al.. (2022). Utilization of Electrical Conductivity to Improve Prediction Accuracy of Cooking Loss of Pork Loin. Food Science of Animal Resources. 43(1). 113–123. 17 indexed citations
16.
Kim, Wan-Soo, Dae-Hyun Lee, Yong‐Joo Kim, et al.. (2020). Crop Height Measurement System Based on 3D Image and Tilt Sensor Fusion. Agronomy. 10(11). 1670–1670. 8 indexed citations
17.
Min, Hong Ki, et al.. (2020). Aquatic Beetles Fauna in Nohwa and Bogil Islands, and Copelatus parallelus (Coleoptera: Dytiscidae) and Scirtes sobrinus (Coleoptera: Scirtidae) New to South Korea. Animal Systematics Evolution and Diversity. 36(2). 128–138. 1 indexed citations
18.
Kim, Wan-Soo, Yong‐Joo Kim, Yeon-Soo Kim, et al.. (2020). Development of Control System for Automated Manual Transmission of 45-kW Agricultural Tractor. Applied Sciences. 10(8). 2930–2930. 20 indexed citations
19.
Lee, Dae-Hyun, et al.. (2019). Development of Convergent IOT Managing Mindmap System. Journal of the Korean Chemical Society. 10(1). 45–51. 1 indexed citations
20.
Kim, Yong‐Joo, et al.. (2013). Analysis of load and fuel efficiency of agricultural tractor by gear selection during plow tillage. Journal of Food Agriculture & Environment. 11. 631–635. 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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