Jeongeun Kim

1.6k total citations · 1 hit paper
42 papers, 1.1k citations indexed

About

Jeongeun Kim is a scholar working on Plant Science, Mechanical Engineering and Endocrinology. According to data from OpenAlex, Jeongeun Kim has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 10 papers in Mechanical Engineering and 4 papers in Endocrinology. Recurrent topics in Jeongeun Kim's work include Smart Agriculture and AI (8 papers), Plant Virus Research Studies (6 papers) and Modular Robots and Swarm Intelligence (5 papers). Jeongeun Kim is often cited by papers focused on Smart Agriculture and AI (8 papers), Plant Virus Research Studies (6 papers) and Modular Robots and Swarm Intelligence (5 papers). Jeongeun Kim collaborates with scholars based in South Korea, United States and Iran. Jeongeun Kim's co-authors include Hyoung Il Son, Chanyoung Ju, Jaehwi Seol, Dong‐Won Kim, Seung Yeob Nam, Young‐Il Lim, Malshick Shin, Jeong-In Kim, Chen Zhang and Chunhoo Cheon and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jeongeun Kim

36 papers receiving 1.0k citations

Hit Papers

Unmanned Aerial Vehicles ... 2019 2026 2021 2023 2019 100 200 300
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.

  1. Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications
    2019 382 citations Jeongeun Kim, Chanyoung Ju et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeongeun Kim South Korea 16 430 207 180 178 149 42 1.1k
Chanyoung Ju South Korea 11 286 0.7× 249 1.2× 168 0.9× 209 1.2× 123 0.8× 27 833
Francisco Rovira-Más Spain 18 875 2.0× 173 0.8× 72 0.4× 196 1.1× 167 1.1× 62 1.4k
Antonio Petitti Italy 14 185 0.4× 92 0.4× 271 1.5× 146 0.8× 81 0.5× 32 744
Liang Gong China 20 1.0k 2.3× 159 0.8× 163 0.9× 200 1.1× 255 1.7× 96 2.0k
Raghav Khanna Switzerland 11 627 1.5× 292 1.4× 89 0.5× 309 1.7× 145 1.0× 18 1.2k
Hanwen Kang Australia 20 1.1k 2.4× 122 0.6× 68 0.4× 207 1.2× 252 1.7× 40 1.7k
Yanzhou Li China 16 407 0.9× 53 0.3× 167 0.9× 97 0.5× 54 0.4× 60 996
P. Raja India 15 1.0k 2.4× 183 0.9× 71 0.4× 420 2.4× 102 0.7× 39 1.7k
Filipe Neves dos Santos Portugal 20 815 1.9× 312 1.5× 36 0.2× 358 2.0× 128 0.9× 102 1.4k
Shaoming Luo China 22 665 1.5× 72 0.3× 80 0.4× 79 0.4× 91 0.6× 44 1.3k

Countries citing papers authored by Jeongeun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeongeun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeongeun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jeongeun Kim. A scholar is included among the top collaborators of Jeongeun Kim 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 Jeongeun Kim. Jeongeun Kim 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.
Lee, Woo‐Jae, Jeongeun Kim, & TaeWon Seo. (2024). Design and analysis of a mobile robot with novel caster mechanism for high step-overcoming capability. Scientific Reports. 14(1). 13745–13745. 1 indexed citations
3.
Kim, Jeongeun, et al.. (2023). Impulse noise threshold detection and Noise removal using Non-local Grid Network. International Journal of Membrane Science and Technology. 10(1). 237–242. 1 indexed citations
4.
Kim, Eun‐Young, S. Dinesh Kumar, Jeong Kyu Bang, et al.. (2023). Evaluation of deoxythymidine-based cationic amphiphiles as antimicrobial, antibiofilm, and anti-inflammatory agents. International Journal of Antimicrobial Agents. 62(3). 106909–106909. 4 indexed citations
5.
Liyanage, D.S., et al.. (2023). Identification, expression profiling, and functional characterization of cystatin C from big-belly seahorse (Hippocampus abdominalis). Fish & Shellfish Immunology. 138. 108804–108804. 7 indexed citations
6.
Seol, Jaehwi, Jeongeun Kim, & Hyoung Il Son. (2022). Spray Drift Segmentation for Intelligent Spraying System Using 3D Point Cloud Deep Learning Framework. IEEE Access. 10. 77263–77271. 14 indexed citations
7.
Ju, Chanyoung, Jeongeun Kim, Jaehwi Seol, & Hyoung Il Son. (2022). A review on multirobot systems in agriculture. Computers and Electronics in Agriculture. 202. 107336–107336. 70 indexed citations
8.
Kim, Jeongeun, et al.. (2022). Field Evaluation of Path-Planning Algorithms for Autonomous Mobile Robot in Smart Farms. IEEE Access. 10. 60253–60266. 55 indexed citations
9.
Seol, Jaehwi, Jeongeun Kim, & Hyoung Il Son. (2021). Field evaluations of a deep learning-based intelligent spraying robot with flow control for pear orchards. Precision Agriculture. 23(2). 712–732. 38 indexed citations
10.
Kim, Jeong-In, et al.. (2021). Towards an Efficient Tomato Harvesting Robot: 3D Perception, Manipulation, and End-Effector. IEEE Access. 9. 17631–17640. 93 indexed citations
11.
Kim, Jeongeun, Yongmin Cho, Chunhoo Cheon, et al.. (2021). Natural Products for Pancreatic Cancer Treatment: From Traditional Medicine to Modern Drug Discovery. Nutrients. 13(11). 3801–3801. 44 indexed citations
12.
Kwak, Hae-Ryun, et al.. (2021). First report of tomato aspermy virus in Chrysanthemum zawadskii var. latilobum in Korea. Journal of Plant Pathology. 103(3). 1005–1006. 1 indexed citations
13.
Kim, Jeongeun, Chanyoung Ju, & Hyoung Il Son. (2020). A Multiplicatively Weighted Voronoi-Based Workspace Partition for Heterogeneous Seeding Robots. Electronics. 9(11). 1813–1813. 11 indexed citations
14.
Kim, Jeongeun & Hyoung Il Son. (2020). A Voronoi Diagram-Based Workspace Partition for Weak Cooperation of Multi-Robot System in Orchard. IEEE Access. 8. 20676–20686. 42 indexed citations
15.
Kwak, Hae-Ryun, et al.. (2020). First report of tomato spotted wilt virus in Lycium chinense. Australasian Plant Disease Notes. 15(1). 3 indexed citations
16.
Ju, Chanyoung, et al.. (2019). A Tracking Method for the Invasive Asian Hornet: A Brief Review and Experiments. IEEE Access. 7. 176998–177008. 17 indexed citations
17.
Kim, Jeongeun, et al.. (2019). Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications. IEEE Access. 7. 105100–105115. 382 indexed citations breakdown →
18.
19.
Kim, Jeongeun, et al.. (2013). Study on Application of Membrane for Separation in Perfluorocompound Gas (SF6). Journal of Korea Society of Waste Management. 30(2). 173–180. 4 indexed citations
20.
Kim, Jeongeun, et al.. (2012). The Flexible EV/HEV and SOC Band Control Corresponding to Driving Mode, Driver's Driving Style and Environmental Circumstances. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 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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