Gil‐Jin Jang

1.1k total citations
71 papers, 774 citations indexed

About

Gil‐Jin Jang is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gil‐Jin Jang has authored 71 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Signal Processing, 24 papers in Artificial Intelligence and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gil‐Jin Jang's work include Speech and Audio Processing (26 papers), Blind Source Separation Techniques (20 papers) and Music and Audio Processing (13 papers). Gil‐Jin Jang is often cited by papers focused on Speech and Audio Processing (26 papers), Blind Source Separation Techniques (20 papers) and Music and Audio Processing (13 papers). Gil‐Jin Jang collaborates with scholars based in South Korea, United States and Israel. Gil‐Jin Jang's co-authors include Minho Lee, Jihun Kim, Jeong‐Sik Park, Te-Won Lee, Yung‐Hwan Oh, Ji‐Hwan Kim, Intae Lee, Te‐Won Lee, Jaesik Choi and Rammohan Mallipeddi and has published in prestigious journals such as PLoS ONE, Journal of Allergy and Clinical Immunology and Expert Systems with Applications.

In The Last Decade

Gil‐Jin Jang

59 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gil‐Jin Jang South Korea 16 256 223 222 118 85 71 774
Evangelos Dermatas Greece 15 182 0.7× 406 1.8× 453 2.0× 264 2.2× 155 1.8× 71 991
Adam Dąbrowski Poland 12 139 0.5× 83 0.4× 301 1.4× 63 0.5× 46 0.5× 157 662
P. Karthigaikumar India 16 104 0.4× 286 1.3× 381 1.7× 79 0.7× 44 0.5× 60 948
Byung Cheol Song South Korea 19 256 1.0× 246 1.1× 825 3.7× 47 0.4× 11 0.1× 147 1.2k
Yung‐Hui Li Taiwan 15 250 1.0× 137 0.6× 349 1.6× 137 1.2× 64 0.8× 93 975
Guocan Feng China 19 158 0.6× 242 1.1× 886 4.0× 33 0.3× 22 0.3× 76 1.3k
Raja Bala United States 13 36 0.1× 145 0.7× 637 2.9× 74 0.6× 45 0.5× 63 876
A. Ahilan India 15 55 0.2× 195 0.9× 264 1.2× 101 0.9× 14 0.2× 74 835
Birendra Biswal India 15 74 0.3× 221 1.0× 178 0.8× 163 1.4× 129 1.5× 63 1.1k
Benayad Nsiri Morocco 12 111 0.4× 98 0.4× 111 0.5× 42 0.4× 20 0.2× 66 528

Countries citing papers authored by Gil‐Jin Jang

Since Specialization
Citations

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

Fields of papers citing papers by Gil‐Jin Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil‐Jin Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Gil‐Jin Jang. A scholar is included among the top collaborators of Gil‐Jin 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 Gil‐Jin Jang. Gil‐Jin 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.
Kim, Su‐Hwan, et al.. (2025). Recent Advances in Bioresorbable Biomedical Applications: From Materials to Devices. Advanced Electronic Materials. 11(10).
3.
Lee, Sang Won, Hyemi Kim, & Gil‐Jin Jang. (2023). Weakly Supervised U-Net with Limited Upsampling for Sound Event Detection. Applied Sciences. 13(11). 6822–6822. 3 indexed citations
4.
Park, Jinhee, Jeonghwan Gwak, Byeong C. Kim, et al.. (2022). Individualized diagnosis of preclinical Alzheimer’s Disease using deep neural networks. Expert Systems with Applications. 210. 118511–118511. 13 indexed citations
5.
Park, Jinhee, et al.. (2022). Encoder-Weighted W-Net for Unsupervised Segmentation of Cervix Region in Colposcopy Images. Cancers. 14(14). 3400–3400. 8 indexed citations
6.
Roh, Hyun‐Jin, Joon S. You, Yujin Ahn, et al.. (2020). Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques. JMIR mhealth and uhealth. 8(3). e16467–e16467. 24 indexed citations
7.
Kim, Minsoo, Gil‐Jin Jang, Ji‐Hwan Kim, & Minho Lee. (2020). Speaker Adaptation Using i-Vector Based Clustering. KSII Transactions on Internet and Information Systems. 14(7). 1 indexed citations
8.
9.
Kim, Jihun, et al.. (2016). Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection. Neural Networks. 87. 109–121. 146 indexed citations
11.
Bowd, Christopher, Robert N. Weinreb, Madhusudhanan Balasubramanian, et al.. (2014). Glaucomatous Patterns in Frequency Doubling Technology (FDT) Perimetry Data Identified by Unsupervised Machine Learning Classifiers. PLoS ONE. 9(1). e85941–e85941. 35 indexed citations
12.
Jang, Gil‐Jin, et al.. (2013). Particle filtering based pitch sequence correction for monaural speech segregation. International Journal of Imaging Systems and Technology. 23(1). 64–70. 1 indexed citations
13.
Goldbaum, Michael H., Intae Lee, Gil‐Jin Jang, et al.. (2012). Progression of Patterns (POP): A Machine Classifier Algorithm to Identify Glaucoma Progression in Visual Fields. Investigative Ophthalmology & Visual Science. 53(10). 6557–6557. 37 indexed citations
14.
Jang, Gil‐Jin & Hoon Young Cho. (2011). Efficient spectrum estimation of noise using line spectral pairs for robust speech recognition. Electronics Letters. 47(25). 1399–1401. 3 indexed citations
15.
Jang, Gil‐Jin, Tzyy‐Ping Jung, Christopher Bowd, et al.. (2009). Unsupervised Machine Learning With Independent Component Analysis Identifies Patterns of Glaucomatous Visual Field Loss in SITA Fields. Investigative Ophthalmology & Visual Science. 50(13). 5283–5283. 1 indexed citations
16.
Jang, Gil‐Jin, Duck Sun Ahn, Yong Eun Cho, Kathleen G. Morgan, & Young‐Ho Lee. (2005). C2-ceramide induces vasodilation in phenylephrine-induced pre-contracted rat thoracic aorta: role of RhoA/Rho-kinase and intracellular Ca2+ concentration. Naunyn-Schmiedeberg s Archives of Pharmacology. 372(3). 242–250. 12 indexed citations
17.
Jang, Gil‐Jin & Te-Won Lee. (2002). A Probabilistic Approach to Single Channel Blind Signal Separation. neural information processing systems. 15. 1197–1204. 24 indexed citations
18.
Jang, Gil‐Jin, Te-Won Lee, & Yung‐Hwan Oh. (2002). Learning statistically efficient features for speaker recognition. Neurocomputing. 49(1-4). 329–348. 27 indexed citations
19.
Jang, Gil‐Jin & Yung‐Hwan Oh. (2000). Robust Speaker Identification using Independent Component Analysis. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 27(5). 583–592.
20.
Li, et al.. (1993). [Churg-Strauss syndrome with rectal localization and exudative enteropathy].. PubMed. 17(5). 386–90. 1 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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