Miso Jang

843 total citations
23 papers, 638 citations indexed

About

Miso Jang is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Miso Jang has authored 23 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Health Informatics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Miso Jang's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and COVID-19 diagnosis using AI (4 papers). Miso Jang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and COVID-19 diagnosis using AI (4 papers). Miso Jang collaborates with scholars based in South Korea, Japan and Ethiopia. Miso Jang's co-authors include Soo‐Hyun Joo, Hyoung Seop Kim, Jongun Moon, Hidemi Kato, Che‐Wei Tsai, J.W. Yeh, Soon‐Jik Hong, Namkug Kim, Mingyu Kim and Jung‐Min Koh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bone and Mineral Research.

In The Last Decade

Miso Jang

21 papers receiving 623 citations

Peers

Miso Jang

RNMI

OSM

Myung Hyun Kim South Korea

Anindya Lahiri United Kingdom

Jianyi Li China

Brian Baillargeon United States

Sinjae Hyun United States

Nuno Rebelo United States

Qiang Lin China

Kotaro SATO Japan

Zh. Zhang China

Lung‐Kwang Pan Taiwan

Myung Hyun Kim South Korea

Miso Jang

318 ×0.8

63 ×0.2

112 ×1.4

153 ×2.0

RNMI

7 ×0.1

OSM

Citations per year, relative to Miso Jang Miso Jang (= 1×) peers Myung Hyun Kim

Countries citing papers authored by Miso Jang

Since Specialization

Citations

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

Fields of papers citing papers by Miso Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miso Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Miso Jang. A scholar is included among the top collaborators of Miso Jang 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 Miso Jang. Miso Jang 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

Kim, Dong‐Won, Miso Jang, Hong‐Kyu Kim, et al.. (2025). Deep Learning Analysis of White Matter Hyperintensity and its Association with Comprehensive Vascular Factors in Two Large General Populations. Journal of Imaging Informatics in Medicine. 38(5). 2761–2778. 1 indexed citations

Kim, Kyoung Jin, Seong Hee Ahn, So Young Park, et al.. (2024). Impact of antiresorptive agents on mortality risk in postmenopausal women with osteoporosis: insights from a nationwide cohort study. European Journal of Endocrinology. 191(3). 361–369.

Jang, Miso, et al.. (2024). Supervised representation learning based on various levels of pediatric radiographic views for transfer learning. Scientific Reports. 14(1). 7551–7551. 4 indexed citations

Koo, Bon San, Miso Jang, Ji Seon Oh, et al.. (2023). Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis. Journal of Rheumatic Diseases. 31(2). 97–107. 3 indexed citations

Ryu, Seung Min, So‐Young Lee, Miso Jang, et al.. (2023). Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs. Computational and Structural Biotechnology Journal. 21. 3452–3458. 13 indexed citations

Hong, Gil-Sun, Miso Jang, Keewon Shin, et al.. (2023). Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning. Korean Journal of Radiology. 24(11). 1061–1061. 22 indexed citations

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

Jang, Miso, et al.. (2023). Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays. Journal of Digital Imaging. 36(5). 2003–2014.

Hwang, Jeongeun, Miso Jang, Joong‐Goo Kim, et al.. (2022). Air Pollution and Subarachnoid Hemorrhage Mortality: A Stronger Association in Women than in Men. Journal of Stroke. 24(3). 429–432. 2 indexed citations

10.

Kim, Mingyu, Miso Jang, Jeongeun Hwang, et al.. (2022). Synthesizing realistic high-resolution retina image by style-based generative adversarial network and its utilization. Scientific Reports. 12(1). 17307–17307. 24 indexed citations

11.

Kim, Sungchul, Kyuri Kim, Jeongeun Hwang, et al.. (2021). An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research. Korean Journal of Radiology. 22(12). 2073–2073. 9 indexed citations

12.

Jang, Miso, Mingyu Kim, Sung Jin Bae, et al.. (2020). Opportunistic Osteoporosis Screening Using Chest Radiographs With Deep Learning: Development and External Validation With a Cohort Dataset. Journal of Bone and Mineral Research. 37(2). 369–377. 56 indexed citations

13.

Jang, Ryoungwoo, Namkug Kim, Miso Jang, et al.. (2020). Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers. JMIR Medical Informatics. 8(8). e18089–e18089. 12 indexed citations

14.

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

15.

Jang, Miso & Dong-Chul Park. (2019). Application of Classifier Integration Model with Confusion Table to Audio Data Classification. International Journal of Machine Learning and Computing. 9(3). 368–373. 1 indexed citations

16.

Hwang, Jeongeun, et al.. (2018). Positive association between moderate altitude and chronic lower respiratory disease mortality in United States counties. PLoS ONE. 13(7). e0200557–e0200557. 11 indexed citations

17.

Jang, Miso, et al.. (2018). Comparison of Hand–Grip Strength Between Normal Korean Adults and Those with Type 2 Diabetes: 2014-2015 Korea National Health and Nutrition Examination Survey. Korean Journal of Family Practice. 8(5). 654–661. 6 indexed citations

18.

Jang, Miso, et al.. (2018). Effect of duration of diabetes on bone mineral density: a population study on East Asian males. BMC Endocrine Disorders. 18(1). 61–61. 32 indexed citations

19.

Joo, Soo‐Hyun, Hidemi Kato, Miso Jang, et al.. (2016). Structure and properties of ultrafine-grained CoCrFeMnNi high-entropy alloys produced by mechanical alloying and spark plasma sintering. Journal of Alloys and Compounds. 698. 591–604. 186 indexed citations

20.

Suh, Sang-Hyun, et al.. (2006). Development process and data management of TurnSTEP: a STEP-compliant CNC system for turning. International Journal of Computer Integrated Manufacturing. 19(6). 546–558. 14 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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