Ho Yub Jung

712 total citations
30 papers, 437 citations indexed

About

Ho Yub Jung is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology. According to data from OpenAlex, Ho Yub Jung has authored 30 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 7 papers in Neurology and 5 papers in Media Technology. Recurrent topics in Ho Yub Jung's work include Brain Tumor Detection and Classification (7 papers), Medical Image Segmentation Techniques (7 papers) and Advanced Image Processing Techniques (7 papers). Ho Yub Jung is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Medical Image Segmentation Techniques (7 papers) and Advanced Image Processing Techniques (7 papers). Ho Yub Jung collaborates with scholars based in South Korea, Bangladesh and United States. Ho Yub Jung's co-authors include Kun Ho Lee, Byeong C. Kim, Yong Seok Heo, Soochahn Lee, Samsuddin Ahmed, Jang Jae Lee, Kyu Yeong Choi, Goo‐Rak Kwon, Yeonggul Jang and Hyuk‐Jae Chang and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Ho Yub Jung

28 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ho Yub Jung South Korea	10	181	179	127	74	70	30	437
Akshay Aggarwal India	6	84 0.5×	209 1.2×	149 1.2×	78 1.1×	58 0.8×	16	357
Sang‐Woong Lee South Korea	10	212 1.2×	91 0.5×	232 1.8×	31 0.4×	28 0.4×	19	519
Tian Lan China	11	241 1.3×	248 1.4×	145 1.1×	26 0.4×	14 0.2×	34	459
Ahmad Al Smadi China	9	74 0.4×	145 0.8×	132 1.0×	61 0.8×	52 0.7×	33	393
Farheen Ramzan Pakistan	5	96 0.5×	180 1.0×	136 1.1×	69 0.9×	57 0.8×	7	387
Ammarah Farooq United Kingdom	7	189 1.0×	123 0.7×	96 0.8×	51 0.7×	27 0.4×	7	352
C. Jiménez-Mesa Spain	9	101 0.6×	71 0.4×	138 1.1×	29 0.4×	30 0.4×	14	449
Xiang Wu China	9	76 0.4×	71 0.4×	119 0.9×	34 0.5×	28 0.4×	44	320
Hossam El-Din Moustafa Egypt	12	110 0.6×	223 1.2×	220 1.7×	59 0.8×	110 1.6×	56	536

Countries citing papers authored by Ho Yub Jung

Since Specialization

Citations

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

Fields of papers citing papers by Ho Yub Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho Yub Jung. 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 Ho Yub Jung. The network helps show where Ho Yub Jung may publish in the future.

Co-authorship network of co-authors of Ho Yub Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Ho Yub Jung. A scholar is included among the top collaborators of Ho Yub Jung 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 Ho Yub Jung. Ho Yub Jung 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

Jung, Ho Yub, et al.. (2023). Enhancing Ensemble Learning Using Explainable CNN for Spoof Fingerprints. Sensors. 24(1). 187–187.

Jung, Ho Yub, et al.. (2023). Semi-supervised atmospheric component learning in low-light image problem. PLoS ONE. 18(3). e0282674–e0282674. 2 indexed citations

Jung, Ho Yub, et al.. (2022). Rethinking Gradient Weight’s Influence over Saliency Map Estimation. Sensors. 22(17). 6516–6516. 1 indexed citations

Nijenhuis, Jan te, Yu Yong Choi, Jang Jae Lee, et al.. (2022). Can hippocampal subfield measures supply information that could be used to improve the diagnosis of Alzheimer’s disease?. PLoS ONE. 17(11). e0275233–e0275233. 4 indexed citations

Jung, Ho Yub, et al.. (2022). Denoising Single Images by Feature Ensemble Revisited. Sensors. 22(18). 7080–7080. 3 indexed citations

Kim, Byeong C., et al.. (2021). Volumetric Feature-Based Alzheimer’s Disease Diagnosis From sMRI Data Using a Convolutional Neural Network and a Deep Neural Network. IEEE Access. 9. 29870–29882. 66 indexed citations

Ahmed, Samsuddin, Kun Ho Lee, & Ho Yub Jung. (2021). Robust Hippocampus Localization From Structured Magnetic Resonance Imaging Using Similarity Metric Learning. IEEE Access. 10. 7141–7152. 1 indexed citations

Jung, Ho Yub, et al.. (2020). A lightweight GAN network for large scale fingerprint generation. IEEE Access. 1–1. 18 indexed citations

Ahmed, Samsuddin, et al.. (2020). Ensemble of ROI-based convolutional neural network classifiers for staging the Alzheimer disease spectrum from magnetic resonance imaging. PLoS ONE. 15(12). e0242712–e0242712. 35 indexed citations

10.

Ahmed, Samsuddin, Kyu Yeong Choi, Jang Jae Lee, et al.. (2019). Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases. IEEE Access. 7. 73373–73383. 93 indexed citations

11.

Choi, Kyu Yeong, Jang Jae Lee, Bumshik Lee, et al.. (2019). Hippocampus Localization Using a Two-Stage Ensemble Hough Convolutional Neural Network. IEEE Access. 7. 73436–73447. 18 indexed citations

12.

Jung, Ho Yub, et al.. (2018). Automatic aortic valve landmark localization in coronary CT angiography using colonial walk. PLoS ONE. 13(7). e0200317–e0200317. 19 indexed citations

13.

Jung, Ho Yub & Yong Seok Heo. (2018). Fingerprint liveness map construction using convolutional neural network. Electronics Letters. 54(9). 564–566. 36 indexed citations

14.

Heo, Yong Seok & Ho Yub Jung. (2016). Probabilistic Gaussian similarity‐based local colour transfer. Electronics Letters. 52(13). 1120–1122. 1 indexed citations

15.

Shin, Seung Yeon, Soochahn Lee, Il Dong Yun, et al.. (2015). A Novel Cascade Classifier for Automatic Microcalcification Detection. PLoS ONE. 10(12). e0143725–e0143725. 6 indexed citations

16.

Heo, Yong Seok, Soochahn Lee, & Ho Yub Jung. (2015). Consistent color and detail transfer from multiple source images for video and images. The Visual Computer. 32(10). 1273–1289.

17.

Jung, Ho Yub, Soochahn Lee, Yong Seok Heo, & Il Dong Yun. (2015). Forest Walk Methods for Localizing Body Joints from Single Depth Image. PLoS ONE. 10(9). e0138328–e0138328. 3 indexed citations

18.

Jung, Ho Yub, et al.. (2015). Random tree walk toward instantaneous 3D human pose estimation. 2467–2474. 58 indexed citations

19.

Jung, Ho Yub, et al.. (2014). Stereo reconstruction using high-order likelihoods. Computer Vision and Image Understanding. 125. 223–236. 5 indexed citations

20.

Jung, Ho Yub, Kyoung Mu Lee, & Sang Uk Lee. (2011). Stereo reconstruction using high order likelihood. 25. 1211–1218. 5 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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