Hyun‐Jin Bae

2.3k total citations
35 papers, 974 citations indexed

About

Hyun‐Jin Bae is a scholar working on Astronomy and Astrophysics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Hyun‐Jin Bae has authored 35 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Hyun‐Jin Bae's work include Galaxies: Formation, Evolution, Phenomena (9 papers), Astrophysics and Star Formation Studies (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Hyun‐Jin Bae is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (9 papers), Astrophysics and Star Formation Studies (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Hyun‐Jin Bae collaborates with scholars based in South Korea, Puerto Rico and Japan. Hyun‐Jin Bae's co-authors include Namkug Kim, Jong-Hak Woo, Jong-Hak Woo, Donghoon Son, Keewon Shin, Mingyu Kim, Yun‐Kyu An, Yongwon Cho, Jihye Yun and Ryoungwoo Jang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Scientific Reports.

In The Last Decade

Hyun‐Jin Bae

33 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyun‐Jin Bae South Korea 17 322 186 133 106 97 35 974
Daxing Wang China 17 26 0.1× 16 0.1× 144 1.1× 97 0.9× 14 0.1× 105 960
Di Zhao China 10 130 0.4× 329 1.8× 238 1.8× 226 2.1× 2 0.0× 29 915
Vasilios Zarikas Greece 16 178 0.6× 145 0.8× 91 0.7× 16 0.2× 2 0.0× 66 715
Alireza Vafaei Sadr Switzerland 12 42 0.1× 161 0.9× 93 0.7× 27 0.3× 4 0.0× 43 421
Guangli Wang China 12 123 0.4× 60 0.3× 20 0.2× 47 0.4× 4 0.0× 67 450
Zesheng Tang China 16 265 0.8× 14 0.1× 33 0.2× 222 2.1× 3 0.0× 80 738
Gregory Dobler United States 17 694 2.2× 8 0.0× 19 0.1× 23 0.2× 39 0.4× 38 1.1k
G. McGregor United Kingdom 20 19 0.1× 57 0.3× 68 0.5× 17 0.2× 1 0.0× 81 1.3k
Wang Gao China 18 185 0.6× 7 0.0× 89 0.7× 82 0.8× 5 0.1× 77 828
Shinichi Yamada Japan 11 42 0.1× 68 0.4× 27 0.2× 20 0.2× 2 0.0× 57 528

Countries citing papers authored by Hyun‐Jin Bae

Since Specialization
Citations

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

Fields of papers citing papers by Hyun‐Jin Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun‐Jin Bae. 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 Hyun‐Jin Bae. The network helps show where Hyun‐Jin Bae may publish in the future.

Co-authorship network of co-authors of Hyun‐Jin Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun‐Jin Bae. A scholar is included among the top collaborators of Hyun‐Jin Bae 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 Hyun‐Jin Bae. Hyun‐Jin Bae 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.
Kesztyüs, Dorothea, Hyun‐Jin Bae, Carolyn A. Wilson, Michael P. Schön, & Tibor Kesztyüs. (2024). Non‐invasive infrared thermography for screening, diagnosis and monitoring of skin cancer. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 23(1). 7–17. 1 indexed citations
2.
Bae, Hyun‐Jin & Yun‐Kyu An. (2023). Computer vision-based statistical crack quantification for concrete structures. Measurement. 211. 112632–112632. 28 indexed citations
3.
Choe, Jaeheon, Hyun‐Jin Bae, You Seung Rim, Lae-Hyong Kang, & Kyungwho Choi. (2023). Impact-monitoring characteristics of piezoelectric smart cement for structural reliability. Journal of the Korean Physical Society. 83(3). 209–215. 1 indexed citations
4.
Jang, Miso, Hyun‐Jin Bae, Seo Young Park, et al.. (2023). Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network. Scientific Reports. 13(1). 2356–2356. 9 indexed citations
5.
An, Yun‐Kyu, Hyun‐Jin Bae, & Keunyoung Jang. (2021). Deep Learning-based Crack Evaluation of Bridges using Drone and Climbing Robot. Journal of the Korean Society for Nondestructive Testing. 41(6). 349–357. 1 indexed citations
6.
Bae, Hyun‐Jin & Kyungwho Choi. (2021). A State-of-the-Art Review of Structural Monitoring Using Piezoelectric Paint Sensors. Journal of the Korean Society for Precision Engineering. 38(12). 927–934. 1 indexed citations
7.
8.
Park, Ho Young, et al.. (2021). Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test. JMIR Medical Informatics. 9(3). e23328–e23328. 23 indexed citations
9.
Kim, June‐sung, Hyun‐Jin Bae, Chang Hwan Sohn, et al.. (2020). Maximum emergency department overcrowding is correlated with occurrence of unexpected cardiac arrest. Critical Care. 24(1). 305–305. 18 indexed citations
10.
Shin, Keewon, et al.. (2020). Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy. Clinical Endoscopy. 53(2). 117–126. 48 indexed citations
11.
Hwang, Jeongeun, et al.. (2020). Association between long-term exposure to air pollutants and cardiopulmonary mortality rates in South Korea. BMC Public Health. 20(1). 1402–1402. 19 indexed citations
12.
Shin, Jaejin, et al.. (2019). Positive and Negative Feedback of AGN Outflows in NGC 5728. The Astrophysical Journal. 881(2). 147–147. 57 indexed citations
13.
Ichikawa, Kohei, T. Kawamuro, M. Shidatsu, et al.. (2019). NuSTAR Discovery of Dead Quasar Engine in Arp 187. The Astrophysical Journal Letters. 883(1). L13–L13. 5 indexed citations
14.
Bae, Hyun‐Jin, Keewon Shin, Yongwon Cho, et al.. (2019). Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network. Computer Methods and Programs in Biomedicine. 184. 105119–105119. 28 indexed citations
15.
Hwang, Jeongeun, et al.. (2019). Age and sex subgroups vulnerable to copycat suicide: evaluation of nationwide data in South Korea. Scientific Reports. 9(1). 17253–17253. 11 indexed citations
16.
Bae, Hyun‐Jin, Namju Kim, Beomhee Park, et al.. (2018). A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images. Scientific Reports. 8(1). 17687–17687. 52 indexed citations
17.
Woo, Jong-Hak, Donghoon Son, & Hyun‐Jin Bae. (2017). Delayed or No Feedback? Gas Outflows in Type 2 AGNs. III.. The Astrophysical Journal. 839(2). 120–120. 50 indexed citations
18.
Yu, Jihnhee, et al.. (2015). Light Pollution Surveys around the Seoul Capital Area: Results from 2009 and 2014. 29. 2255081. 1 indexed citations
19.
Bae, Hyun‐Jin, et al.. (2013). Polypharmacy in Patients Discharged from Oncology Department. Korean Journal of Clinical Pharmacy. 23(1). 42–48. 1 indexed citations
20.
Lee, Sangjin, Hyun‐Jin Bae, Dae‐Young Lee, et al.. (2009). Extracts from Rhizopus oryzae KSD-815 of Korean Traditional Nuruk Confer the Potential to Inhibit Hypertension, Platelet Aggregation, and Cancer Metastasis in vitro. Food Science and Biotechnology. 18(6). 1423–1429. 6 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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