Jun-Su Jang

523 total citations
39 papers, 366 citations indexed

About

Jun-Su Jang is a scholar working on Complementary and alternative medicine, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Jun-Su Jang has authored 39 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Complementary and alternative medicine, 14 papers in Biomedical Engineering and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Jun-Su Jang's work include Traditional Chinese Medicine Studies (15 papers), Medical Imaging and Analysis (11 papers) and Spine and Intervertebral Disc Pathology (9 papers). Jun-Su Jang is often cited by papers focused on Traditional Chinese Medicine Studies (15 papers), Medical Imaging and Analysis (11 papers) and Spine and Intervertebral Disc Pathology (9 papers). Jun-Su Jang collaborates with scholars based in South Korea, Thailand and United States. Jun-Su Jang's co-authors include Jong-Hwan Kim, Jong Yeol Kim, Boncho Ku, Jun‐Hyeong Do, Kuk-Hyun Han, Takeo Kanade, Eun-Su Jang, Keun Ho Kim, Bum Ju Lee and Young‐Su Kim and has published in prestigious journals such as Journal of Membrane Science, Sensors and Medicine.

In The Last Decade

Jun-Su Jang

36 papers receiving 329 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-Su Jang South Korea 11 132 87 55 52 45 39 366
Zhengchen Zhang China 11 49 0.4× 44 0.5× 132 2.4× 61 1.2× 18 0.4× 50 390
Hari Singh India 11 65 0.5× 23 0.3× 15 0.3× 22 0.4× 32 0.7× 35 387
Azian Azamimi Abdullah Malaysia 14 18 0.1× 76 0.9× 126 2.3× 85 1.6× 111 2.5× 62 551
Tayo Obafemi-Ajayi United States 12 87 0.7× 48 0.6× 64 1.2× 120 2.3× 17 0.4× 60 469
Bart Bakker Netherlands 8 23 0.2× 51 0.6× 141 2.6× 16 0.3× 72 1.6× 15 465
Donna L. Hudson United States 12 147 1.1× 32 0.4× 138 2.5× 41 0.8× 87 1.9× 48 715
Mohamad Baydoun Canada 12 32 0.2× 54 0.6× 85 1.5× 67 1.3× 10 0.2× 35 407
Qingfeng Wu China 9 52 0.4× 47 0.5× 65 1.2× 29 0.6× 26 0.6× 52 506
Yuyang You China 9 16 0.1× 30 0.3× 25 0.5× 60 1.2× 28 0.6× 27 335
Miran Lee South Korea 13 9 0.1× 33 0.4× 30 0.5× 61 1.2× 101 2.2× 42 404

Countries citing papers authored by Jun-Su Jang

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Su Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Su Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Su Jang. A scholar is included among the top collaborators of Jun-Su 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 Jun-Su Jang. Jun-Su Jang 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.
2.
Cho, Myeonghyeon, et al.. (2024). Salt and water transfer in concentrating hypersaline electrolyte solutions by electrodialysis. Journal of Membrane Science. 717. 123620–123620. 2 indexed citations
3.
Jang, Jun-Su, et al.. (2024). Heatmap-Based Active Shape Model for Landmark Detection in Lumbar X-ray Images. Journal of Imaging Informatics in Medicine. 38(1). 291–308. 1 indexed citations
4.
Jang, Jun-Su, et al.. (2023). BUU-LSPINE: A Thai Open Lumbar Spine Dataset for Spondylolisthesis Detection. Applied Sciences. 13(15). 8646–8646. 18 indexed citations
5.
Jang, Jun-Su, et al.. (2023). Reliability Analysis of Vertebral Landmark Labelling on Lumbar Spine X-ray Images. Diagnostics. 13(8). 1411–1411. 3 indexed citations
6.
Jang, Jun-Su, et al.. (2022). Experimental Study on Ion Transport in Microfluidic Electrodialysis Using Partially Masked Ion Exchange Membranes. Micromachines. 13(3). 356–356. 6 indexed citations
7.
Lee, Jeong-Sik, et al.. (2022). Part Affinity Fields and CoordConv for Detecting Landmarks of Lumbar Vertebrae and Sacrum in X-ray Images. Sensors. 22(22). 8628–8628. 6 indexed citations
8.
Jang, Jun-Su, et al.. (2017). Modification of the Integrated Sasang Constitutional Diagnostic Model. Evidence-based Complementary and Alternative Medicine. 2017(1). 9180159–9180159. 5 indexed citations
9.
Kim, Jaeuk U., Boncho Ku, Young-Min Kim, et al.. (2013). The Concept of Sasang Health Index and Constitution-Based Health Assessment: An Integrative Model with Computerized Four Diagnosis Methods. Evidence-based Complementary and Alternative Medicine. 2013. 1–13. 14 indexed citations
10.
Jang, Jun-Su, et al.. (2013). A practical approach to Sasang constitutional diagnosis using vocal features. BMC Complementary and Alternative Medicine. 13(1). 307–307. 7 indexed citations
11.
Lee, Bum Ju, Boncho Ku, Jun-Su Jang, & Jong Yeol Kim. (2013). A Novel Method for Classifying Body Mass Index on the Basis of Speech Signals for Future Clinical Applications: A Pilot Study. Evidence-based Complementary and Alternative Medicine. 2013. 1–10. 12 indexed citations
12.
Lee, Bum Ju, Keun Ho Kim, Boncho Ku, Jun-Su Jang, & Jong Yeol Kim. (2013). Prediction of body mass index status from voice signals based on machine learning for automated medical applications. Artificial Intelligence in Medicine. 58(1). 51–61. 27 indexed citations
13.
Kim, Young‐Su, Keun Ho Kim, Jong Yeol Kim, & Jun-Su Jang. (2013). A Study on the Formant Comparison of Korean Monophthongs according to Age and Gender -A Survey on Patients in Oriental Hospitals-. Phonetics and Speech Sciences. 5(1). 73–80. 7 indexed citations
14.
Jang, Jun-Su, Young‐Su Kim, Boncho Ku, & Jong Yeol Kim. (2013). Recent Progress in Voice-Based Sasang Constitutional Medicine: Improving Stability of Diagnosis. Evidence-based Complementary and Alternative Medicine. 2013. 1–7. 6 indexed citations
15.
Jang, Eun-Su, et al.. (2013). The Characteristics of Taeyangin on Body Shape, Face, Voice and Temperament. Journal of Sasang Constitutional Medicine. 25(3). 145–157. 4 indexed citations
16.
Do, Jun‐Hyeong, et al.. (2012). Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information. BMC Complementary and Alternative Medicine. 12(1). 85–85. 74 indexed citations
17.
Do, Jun‐Hyeong, et al.. (2012). Analysis of Sasang constitutional types using facial features with compensation for photographic distance. Integrative Medicine Research. 1(1). 26–35. 10 indexed citations
18.
Kim, Keun Ho, et al.. (2012). Study of a Vocal Feature Selection Method and Vocal Properties for Discriminating Four Constitution Types. Evidence-based Complementary and Alternative Medicine. 2012. 1–10. 10 indexed citations
19.
Lucey, Simon & Jun-Su Jang. (2010). Non-rigid Face Tracking Using Short Track-Life Features. 241–248. 2 indexed citations
20.
Jang, Jun-Su, Kuk-Hyun Han, & Jong-Hwan Kim. (2004). Evolutionary algorithm-based face verification. Pattern Recognition Letters. 25(16). 1857–1865. 15 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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