Jun-Min Kim

418 total citations
31 papers, 292 citations indexed

About

Jun-Min Kim is a scholar working on Biomedical Engineering, Oral Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jun-Min Kim has authored 31 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 9 papers in Oral Surgery and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jun-Min Kim's work include Dental Radiography and Imaging (7 papers), Neuroscience and Neural Engineering (5 papers) and Medical Imaging and Analysis (4 papers). Jun-Min Kim is often cited by papers focused on Dental Radiography and Imaging (7 papers), Neuroscience and Neural Engineering (5 papers) and Medical Imaging and Analysis (4 papers). Jun-Min Kim collaborates with scholars based in South Korea, Ethiopia and Puerto Rico. Jun-Min Kim's co-authors include Cheol‐Ho Kim, Won-Jin Yi, Jun Hyuk Moon, Changkyun Im, Se-Ryong Kang, Jong-Mo Seo, Tae‐Il Kim, Sam-Sun Lee, Kyung‐Hoe Huh and Jo‐Eun Kim and has published in prestigious journals such as Energy & Environmental Science, Applied Catalysis B: Environmental and Scientific Reports.

In The Last Decade

Jun-Min Kim

24 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun-Min Kim South Korea 11 88 85 66 47 46 31 292
Jianling Zhao China 12 39 0.4× 97 1.1× 44 0.7× 156 3.3× 13 0.3× 32 427
Е. В. Кукуева Russia 11 8 0.1× 73 0.9× 55 0.8× 103 2.2× 53 1.2× 44 292
Ziqi Jia China 11 7 0.1× 48 0.6× 103 1.6× 129 2.7× 38 0.8× 23 361
Sung Suk Oh South Korea 8 71 0.8× 269 3.2× 4 0.1× 109 2.3× 6 0.1× 27 367
Xinwei Ding China 9 5 0.1× 94 1.1× 29 0.4× 161 3.4× 3 0.1× 15 430
Ruiwu Li China 12 13 0.1× 35 0.4× 16 0.2× 79 1.7× 3 0.1× 33 449
Hui Dong China 8 16 0.2× 93 1.1× 14 0.2× 235 5.0× 2 0.0× 24 494

Countries citing papers authored by Jun-Min Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Min Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Min Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Min Kim. A scholar is included among the top collaborators of Jun-Min 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 Jun-Min Kim. Jun-Min 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.
Han, Hyounkoo, Hee‐Young Lee, Kyeong Sik Jin, et al.. (2025). Nanoarchitectonics of melittin-based polymersomes inducing lysosomal rupture for anticancer therapy. Journal of Industrial and Engineering Chemistry. 155. 639–648.
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Song, Daniel Y., Jeongsu Han, Sujeong Kim, et al.. (2025). Comparison of 2D, 2.5D, and 3D segmentation networks for mandibular canals in CBCT images: a study on public and external datasets. BMC Oral Health. 25(1). 1126–1126.
5.
Kim, Jun-Min, Jo‐Eun Kim, Kyung‐Hoe Huh, et al.. (2024). Automatic Reproduction of Natural Head Position in Orthognathic Surgery Using a Geometric Deep Learning Network. Diagnostics. 15(1). 42–42.
6.
Park, Se Jin, Jun-Min Kim, Ju-Hee Kang, et al.. (2024). Automatic and robust estimation of sex and chronological age from panoramic radiographs using a multi-task deep learning network: a study on a South Korean population. International Journal of Legal Medicine. 138(4). 1741–1757. 13 indexed citations
7.
Kim, Jun-Min, et al.. (2024). Automatic Counting of Chewing Actions in Eating Videos. 1–4.
8.
Kim, Jun Ho, Jun-Min Kim, Jo‐Eun Kim, et al.. (2024). Automatic segmentation and classification of frontal sinuses for sex determination from CBCT scans using a two-stage anatomy-guided attention network. Scientific Reports. 14(1). 11750–11750. 6 indexed citations
9.
Lee, Sang-Jeong, Se-Ryong Kang, Jun-Min Kim, et al.. (2024). MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts. Biomedical Signal Processing and Control. 95. 106411–106411. 2 indexed citations
10.
Chun, So‐Young, Se-Ryong Kang, Jun-Min Kim, et al.. (2023). Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network. BMC Oral Health. 23(1). 8 indexed citations
11.
Im, Changkyun, Young‐Mi Jeon, Jong‐Ghee Kim, et al.. (2022). Improvement of osseointegration of Ti–6Al–4V ELI alloy orthodontic mini-screws through anodization, cyclic pre-calcification, and heat treatments. Progress in Orthodontics. 23(1). 11–11. 13 indexed citations
12.
Kim, Tae‐Il, Jun-Min Kim, Jo‐Eun Kim, et al.. (2022). Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network. Scientific Reports. 12(1). 13460–13460. 21 indexed citations
13.
Kim, Cheol‐Ho, et al.. (2022). NiO/ZnO heterojunction nanorod catalyst for high-efficiency electrochemical conversion of methane. Applied Catalysis B: Environmental. 323. 122129–122129. 37 indexed citations
14.
Kim, Jun-Min, et al.. (2021). Odor-classification based on Convolutional Neural Network using Hemodynamic Responses of Rat Olfactory Bulb. The Journal of Korean Institute of Information Technology. 19(7). 133–140.
15.
Im, Changkyun, et al.. (2021). Machine learning-based feature combination analysis for odor-dependent hemodynamic responses of rat olfactory bulb. Biosensors and Bioelectronics. 197. 113782–113782. 3 indexed citations
16.
Kim, Jun-Min, et al.. (2020). Light-Induced Fluorescence-Based Device and Hybrid Mobile App for Oral Hygiene Management at Home: Development and Usability Study. JMIR mhealth and uhealth. 8(10). e17881–e17881. 8 indexed citations
17.
Im, Changkyun, et al.. (2019). Fabrication of Convex PDMS–Parylene Microstructures for Conformal Contact of Planar Micro-Electrode Array. Polymers. 11(9). 1436–1436. 13 indexed citations
18.
Kang, Se-Ryong, et al.. (2017). Improved accuracy in periodontal pocket depth measurement using optical coherence tomography. Journal of Periodontal & Implant Science. 47(1). 13–13. 18 indexed citations
19.
Kim, Jun-Min, Se-Ryong Kang, & Won-Jin Yi. (2017). Automatic detection of tooth cracks in optical coherence tomography images. Journal of Periodontal & Implant Science. 47(1). 41–41. 25 indexed citations
20.
Lee, Woo‐Ram, Changkyun Im, Chin Su Koh, et al.. (2017). A convex-shaped, PDMS-parylene hybrid multichannel ECoG-electrode array. PubMed. 2017. 1093–1096. 12 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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