Jeongho Baek

881 total citations · 1 hit paper
40 papers, 551 citations indexed

About

Jeongho Baek is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Jeongho Baek has authored 40 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 17 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Jeongho Baek's work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Rice Cultivation and Yield Improvement (11 papers) and Plant Disease Resistance and Genetics (8 papers). Jeongho Baek is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (16 papers), Rice Cultivation and Yield Improvement (11 papers) and Plant Disease Resistance and Genetics (8 papers). Jeongho Baek collaborates with scholars based in South Korea, India and Brazil. Jeongho Baek's co-authors include Song Lim Kim, Hyeonso Ji, Kyung-Hwan Kim, Inchan Choi, Eun‐Gyeong Lee, In Sun Yoon, Kyeong-Seong Cheon, Jun Oh, Minsu Kim and Taek-Ryoun Kwon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jeongho Baek

35 papers receiving 527 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.

Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives

2025 14 citations Sheikh Mansoor, Simona Mariana Popescu et al. Frontiers in Plant Science profile →

Peers

Jeongho Baek

GENET

ECOLO

Mohd Anwar Khan India

Aris Hairmansis Indonesia

Kaijie Xu China

Adam Famoso United States

Yulei Zhu China

Ana Badea Canada

Jorge Urrestarazu Spain

Vuk Đorđević Serbia

Raj Pasam Australia

Sameer Joshi Australia

Mohd Anwar Khan India

Jeongho Baek

333 ×0.7

78 ×0.5

GENET

71 ×0.7

19 ×0.3

52 ×1.0

ECOLO

Citations per year, relative to Jeongho Baek Jeongho Baek (= 1×) peers Mohd Anwar Khan

Countries citing papers authored by Jeongho Baek

Since Specialization

Citations

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

Fields of papers citing papers by Jeongho Baek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeongho Baek

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

All Works

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20 of 20 papers shown

Baek, Jeongho, et al.. (2026). Identification of candidate loci regulating seed-associated traits in soybean using genome-wide association study and image-based high-throughput phenotyping. Frontiers in Plant Science. 17. 1727442–1727442.

Lee, Seo Yeon, Jeongho Baek, Sang-Ho Kang, et al.. (2025). Development of Fruit-Specific Spectral Indices and Endmember-Based Analysis for Apple Cultivar Classification Using Hyperspectral Imaging. Horticulturae. 11(10). 1177–1177.

Min, Jeong‐Ki, et al.. (2025). Image-based GWAS identifies the genetic architecture of seed-related traits in a soybean mutant population. Molecular Breeding. 45(8). 67–67. 1 indexed citations

Hong, Joon Ki, Jeongho Baek, Jae Young Kim, et al.. (2025). High throughput phenotyping using automated imaging system reveals the relationship between seed yield and agronomic traits in Korean rice cultivars. Journal of Plant Physiology. 311. 154544–154544.

Mansoor, Sheikh, et al.. (2025). Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives. Frontiers in Plant Science. 16. 1587869–1587869. 14 indexed citations breakdown →

Song, Jae‐Young, et al.. (2024). Exploring Imaging Techniques for Detecting Tomato Spotted Wilt Virus (TSWV) Infection in Pepper (Capsicum spp.) Germplasms. Plants. 13(23). 3447–3447. 3 indexed citations

Kim, Jae-Young, et al.. (2024). Deep learning-based elaiosome detection in milk thistle seed for efficient high-throughput phenotyping. Frontiers in Plant Science. 15. 1395558–1395558. 1 indexed citations

Lyu, Jae Il, et al.. (2024). SUnSeT: spectral unmixing of hyperspectral images for phenotyping soybean seed traits. Plant Cell Reports. 43(7). 164–164. 5 indexed citations

Ji, Hyeonso, Kyeong-Seong Cheon, Seungmin Son, et al.. (2024). Map-Based Cloning and Characterization of a Major QTL Gene, FfR1, Which Confers Resistance to Rice Bakanae Disease. International Journal of Molecular Sciences. 25(11). 6214–6214. 4 indexed citations

10.

Hong, Joon Ki, Jeongho Baek, Sang Ryeol Park, Gang‐Seob Lee, & Eun Jung Suh. (2023). A New Protocol to Mitigate Damage to Germination Caused by Black Layers in Maize (Zea mays L.) Seeds. Agriculture. 13(11). 2147–2147. 2 indexed citations

11.

Choi, Inchan, Kyeong-Seong Cheon, Seoyeon Lee, et al.. (2023). QTL Mapping of Tiller Number in Korean Japonica Rice Varieties. Genes. 14(8). 1593–1593. 2 indexed citations

12.

Moon, Jung‐Kyung, et al.. (2023). Genome-wide analysis of KIX gene family for organ size regulation in soybean (Glycine max L.). Frontiers in Plant Science. 14. 1252016–1252016. 3 indexed citations

13.

Kim, Jae-Young, et al.. (2023). Comparison of Various Drought Resistance Traits in Soybean (Glycine max L.) Based on Image Analysis for Precision Agriculture. Plants. 12(12). 2331–2331. 3 indexed citations

14.

Kim, Jae-Young, et al.. (2023). Image-Based High-Throughput Phenotyping in Horticultural Crops. Plants. 12(10). 2061–2061. 42 indexed citations

15.

Yu, Ju‐Kyung, Yoon-Ha Kim, Jieun Park, et al.. (2021). Case study: cost-effective image analysis method to study drought stress of soybean in early vegetative stage. Journal of Crop Science and Biotechnology. 25(1). 33–37. 3 indexed citations

16.

Kim, Song Lim, Eun‐Gyeong Lee, Kyeong-Seong Cheon, et al.. (2020). High-throughput phenotyping platform for analyzing drought tolerance in rice. Planta. 252(3). 38–38. 75 indexed citations

17.

Cheon, Kyeong-Seong, Young‐Min Jeong, Jun Oh, et al.. (2020). QTL mapping for pre-harvest sprouting resistance in japonica rice varieties utilizing genome re-sequencing. Molecular Genetics and Genomics. 295(5). 1129–1140. 18 indexed citations

18.

Song, Eun‐Sung, Sunggi Heu, Jeongho Baek, et al.. (2019). Prediction of Host-Specific Genes by Pan-Genome Analyses of the Korean Ralstonia solanacearum Species Complex. Frontiers in Microbiology. 10. 506–506. 20 indexed citations

19.

Kim, Song Lim, Yong Suk Chung, Hyeonso Ji, et al.. (2019). The opening of phenome-assisted selection era in the early seedling stage. Scientific Reports. 9(1). 9948–9948. 7 indexed citations

20.

Ji, Hyeonso, Tae Ho Kim, Gang‐Seob Lee, et al.. (2017). Mapping of a major quantitative trait locus for bakanae disease resistance in rice by genome resequencing. Molecular Genetics and Genomics. 293(3). 579–586. 28 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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