Jeong‐In Hwang

884 total citations
61 papers, 713 citations indexed

About

Jeong‐In Hwang is a scholar working on Food Science, Pollution and Plant Science. According to data from OpenAlex, Jeong‐In Hwang has authored 61 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Food Science, 25 papers in Pollution and 20 papers in Plant Science. Recurrent topics in Jeong‐In Hwang's work include Pesticide Residue Analysis and Safety (30 papers), Pesticide and Herbicide Environmental Studies (23 papers) and Insect and Pesticide Research (13 papers). Jeong‐In Hwang is often cited by papers focused on Pesticide Residue Analysis and Safety (30 papers), Pesticide and Herbicide Environmental Studies (23 papers) and Insect and Pesticide Research (13 papers). Jeong‐In Hwang collaborates with scholars based in South Korea, United States and Netherlands. Jeong‐In Hwang's co-authors include Jang‐Eok Kim, Jang‐Eok Kim, Sung‐Eun Lee, Donghoon Kwon, Andrew R. Zimmerman, Sangmin Jeon, Sang-Hyeob Lee, Sang-Hee Lee, Thomas R. Butts and Jason K. Norsworthy and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jeong‐In Hwang

57 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong‐In Hwang South Korea 15 302 270 226 139 113 61 713
Zhiguang Hou China 14 286 0.9× 148 0.5× 153 0.7× 133 1.0× 95 0.8× 41 615
Jinsheng Duan China 13 165 0.5× 167 0.6× 132 0.6× 86 0.6× 180 1.6× 47 630
Asutosh Mohapatra India 5 140 0.5× 94 0.3× 281 1.2× 101 0.7× 125 1.1× 7 633
Nitika Rana India 9 146 0.5× 90 0.3× 421 1.9× 159 1.1× 132 1.2× 19 766
Mingna Sun China 11 137 0.5× 116 0.4× 102 0.5× 66 0.5× 75 0.7× 31 423
Reshma Kumari India 3 140 0.5× 77 0.3× 260 1.2× 98 0.7× 127 1.1× 3 565
Neelesh Babu India 4 141 0.5× 74 0.3× 260 1.2× 99 0.7× 127 1.1× 5 573
Akansha Sharma India 4 140 0.5× 74 0.3× 256 1.1× 104 0.7× 126 1.1× 5 575
Changpeng Zhang China 16 238 0.8× 260 1.0× 128 0.6× 62 0.4× 139 1.2× 50 617
Hermine Reich Germany 9 273 0.9× 553 2.0× 441 2.0× 87 0.6× 122 1.1× 138 1.0k

Countries citing papers authored by Jeong‐In Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Jeong‐In Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong‐In Hwang. 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 Jeong‐In Hwang. The network helps show where Jeong‐In Hwang may publish in the future.

Co-authorship network of co-authors of Jeong‐In Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong‐In Hwang. A scholar is included among the top collaborators of Jeong‐In Hwang 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 Jeong‐In Hwang. Jeong‐In Hwang 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.
Hwang, Jeong‐In, Sungmin Jeong, & Suyong Lee. (2025). Machine learning-combined hyperspectral imaging analysis for the non-destructive identification of wheat flours with varying gluten strengths. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 338. 126118–126118.
2.
Jeong, Sungmin, Jeong‐In Hwang, Jongbin Lim, & Suyong Lee. (2025). Predicting the quality of cookies with oleogel as a shortening substitute using hyperspectral imaging and artificial intelligence. Current Research in Food Science. 11. 101190–101190.
3.
Choi, Yun Jung, et al.. (2025). 3D Histology visualizing hypoxia-induced upregulation of N-terminal cysteine using de novo fluorophore generation. Redox Biology. 81. 103577–103577. 1 indexed citations
4.
Hwang, Jeong‐In, Kyeong‐Ok Choi, Sungmin Jeong, & Suyong Lee. (2024). Machine learning identification of edible vegetable oils from fatty acid compositions and hyperspectral images. Current Research in Food Science. 8. 100742–100742. 9 indexed citations
7.
Hwang, Jeong‐In, et al.. (2022). Self-cleaving protein linkers with modulated pH-responsiveness: A new platform for selective control of protein drug function. Chemical Engineering Journal. 457. 141229–141229. 4 indexed citations
8.
Hwang, Jeong‐In & Jang‐Eok Kim. (2021). Removal of organochlorine insecticide endosulfan in water and soil by Fenton reaction with ascorbic acid and various iron resources. Environmental Science and Pollution Research. 28(22). 28479–28489. 8 indexed citations
9.
Hwang, Jeong‐In, et al.. (2021). Non‐target‐site resistance mechanism of barnyardgrass [Echinochloa crus‐galli (L.) P. Beauv.] to florpyrauxifen‐benzyl. Pest Management Science. 78(1). 287–295. 22 indexed citations
10.
Hwang, Jeong‐In, et al.. (2021). Absorption, translocation, and metabolism of florpyrauxifen-benzyl and cyhalofop-butyl in cyhalofop-butyl-resistant barnyardgrass [Echinochloa crus-galli (L.) P. Beauv.]. Pesticide Biochemistry and Physiology. 180. 104999–104999. 15 indexed citations
11.
12.
Li, Zhuona, Francesco Di Gioia, Jeong‐In Hwang, et al.. (2019). Dissipation of fomesafen in fumigated, anaerobic soil disinfestation‐treated, and organic‐amended soil in Florida tomato production systems. Pest Management Science. 76(2). 628–635. 10 indexed citations
13.
Lee, Sang-Hyeob, et al.. (2019). Correlation between physicochemical properties and biological half-life of triazole fungicides in perilla leaf. Journal of Applied Biological Chemistry. 62(4). 407–415. 10 indexed citations
14.
Lee, Hyeonjeong, et al.. (2018). Immunomagnetic separation and size-based detection of Escherichia coli O157 at the meniscus of a membrane strip. RSC Advances. 8(46). 26266–26270. 12 indexed citations
15.
Hwang, Jeong‐In, Andrew R. Zimmerman, & Jang‐Eok Kim. (2018). Bioconcentration factor-based management of soil pesticide residues: Endosulfan uptake by carrot and potato plants. The Science of The Total Environment. 627. 514–522. 62 indexed citations
16.
Pal, Monalisa, Sang-Hee Lee, Donghoon Kwon, et al.. (2016). Direct immobilization of antibodies on Zn-doped Fe 3 O 4 nanoclusters for detection of pathogenic bacteria. Analytica Chimica Acta. 952. 81–87. 28 indexed citations
17.
Hwang, Jeong‐In, et al.. (2015). Residual Patterns of Insecticides Bifenthrin and Chlorfenapyr in Perilla Leaf as a Minor Crop. Korean Journal of Environmental Agriculture. 34(3). 223–229. 8 indexed citations
18.
Hwang, Jeong‐In, Sung‐Eun Lee, & Jang‐Eok Kim. (2015). Interpretation and estimation for dynamic mobility of chlorpyrifos in soils containing different organic matters. Environmental Geochemistry and Health. 37(6). 1017–1027. 9 indexed citations
19.
Hwang, Jeong‐In, Hyo‐Young Kim, Ji‐Hwan Kim, et al.. (2011). Improvement of Analytical Method for Residue Pesticides in Herbal Medicines Using Macroporous Diatomaceous Earth Column. 15(2). 140–148. 4 indexed citations
20.
Hwang, Jeong‐In, et al.. (2006). Effect of Double Layered Substrate on the Growth, Yield and Fruit Quality of Strawberry in Elevated Hydroponic System. Horticultural Science and Technology. 24(2). 157–161. 2 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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