Hyeon Park

885 total citations
53 papers, 635 citations indexed

About

Hyeon Park is a scholar working on Plant Science, Surgery and Small Animals. According to data from OpenAlex, Hyeon Park has authored 53 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 11 papers in Surgery and 8 papers in Small Animals. Recurrent topics in Hyeon Park's work include Natural Products and Biological Research (10 papers), Sugarcane Cultivation and Processing (7 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Hyeon Park is often cited by papers focused on Natural Products and Biological Research (10 papers), Sugarcane Cultivation and Processing (7 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Hyeon Park collaborates with scholars based in South Korea, United States and Italy. Hyeon Park's co-authors include Se-Han Kim, Myung‐Jin Jun, Chang‐Hee Christine Bae, In Young Choi, Geun Hee Seol, Sangwoo Ryu, Dae‐Heon Park, Kyu Jin, Ju Kyong Lee and James Feigenbaum and has published in prestigious journals such as Scientific Reports, Gene and Journal of Economic Behavior & Organization.

In The Last Decade

Hyeon Park

45 papers receiving 600 citations

Peers

Hyeon Park
Hee-Su Kim South Korea
Yang Qian China
Hyeon Park
Citations per year, relative to Hyeon Park Hyeon Park (= 1×) peers Po‐An Chen

Countries citing papers authored by Hyeon Park

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeon Park

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon Park. A scholar is included among the top collaborators of Hyeon 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 Hyeon Park. Hyeon 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
3.
Park, Hyeon, et al.. (2024). Phylogenetic analysis of Perilla crop (Perilla frutescens L.) based on morphological characteristics and volatile substances. Genetic Resources and Crop Evolution. 72(3). 2959–2976. 2 indexed citations
4.
Jin, Kyu, et al.. (2024). Association analysis of leaf aromatic substances in cultivated and weedy types of Perilla crop using SSR markers. Heliyon. 10(15). e34995–e34995. 6 indexed citations
7.
Jin, Kyu, et al.. (2023). Morphological Variation in Normal Maize Landrace Accessions Collected from South Sudan. Plant Breeding and Biotechnology. 11(1). 15–24. 2 indexed citations
8.
Park, Hyeon, et al.. (2023). Uncovering microsatellite markers associated with agronomic traits of South Sudan landrace maize. Genes & Genomics. 45(12). 1587–1598.
9.
Jin, Kyu, et al.. (2023). Association Mapping of Amylose Content in Maize RIL Population Using SSR and SNP Markers. Plants. 12(2). 239–239. 6 indexed citations
10.
Park, Hyeon, et al.. (2022). Genetic variation of seed oil characteristics in native Korean germplasm of Perilla crop (Perilla frutescens L.) using SSR markers. Genes & Genomics. 44(10). 1159–1170. 10 indexed citations
11.
Park, Hyeon, Dae‐Heon Park, & Se-Han Kim. (2021). Anomaly Detection of Operating Equipment in Livestock Farms Using Deep Learning Techniques. Electronics. 10(16). 1958–1958. 10 indexed citations
12.
Jin, Kyu, Dong‐Min Kim, Jun Oh, et al.. (2021). Construction of a core collection of native Perilla germplasm collected from South Korea based on SSR markers and morphological characteristics. Scientific Reports. 11(1). 23891–23891. 20 indexed citations
13.
Lee, Jin‐Ho, et al.. (2018). A Study on the Introduction of a Rigging and Slinging Certificate System to Reduce a Struck by Object Accidents. Journal of the Korean Society of Safety. 33(5). 92–100.
14.
Park, Hyeon, et al.. (2018). Adequacy analysis of the logistics curriculum based on NCS using the factor analysis. 28(2). 21–36. 1 indexed citations
15.
Park, Hyeon, et al.. (2017). A Comparative Analysis on Implementation Methods of Road PPP Project - A case study of Incheon International Airport Expressway Project -. Seoul Studies. 18(4). 41–51. 1 indexed citations
16.
Park, Hyeon, et al.. (2017). Image-based disease diagnosing and predicting of the crops through the deep learning mechanism. 129–131. 45 indexed citations
17.
Park, Hyeon, Geun Hee Seol, Sangwoo Ryu, & In Young Choi. (2016). Neuroprotective effects of (−)-linalool against oxygen-glucose deprivation-induced neuronal injury. Archives of Pharmacal Research. 39(4). 555–564. 52 indexed citations
18.
Kim, Hyun-Hee, et al.. (2010). Improvement of Quality in Treated Water by the pH Adjustment of Raw Water. Journal of Korean Society of Environmental Engineers. 32(5). 469–476. 1 indexed citations
19.
Kim, Changmo, et al.. (2006). The Effect of Boiling Water on DBPs and Taste-and-Odor Compounds in Drinking Water. Korean Journal of Environmental Health Sciences. 32(4). 262–267. 1 indexed citations
20.
Park, Hyeon, et al.. (1998). Voice Message Connection Control for PSTN and N-ISDN Subscribers in ATM Switching System. IEICE Transactions on Communications. 81(2). 333–339.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026