Sejung Yang

1.3k total citations
71 papers, 722 citations indexed

About

Sejung Yang is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Sejung Yang has authored 71 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Oncology. Recurrent topics in Sejung Yang's work include Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (7 papers) and Cell Image Analysis Techniques (6 papers). Sejung Yang is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (7 papers) and Cell Image Analysis Techniques (6 papers). Sejung Yang collaborates with scholars based in South Korea, United States and Japan. Sejung Yang's co-authors include Byung-Uk Lee, Jihee Han, Byung Ho Oh, Kee Yang Chung, Sang Wook Lee, Sang Baek Koh, Si‐Young Choi, Solam Lee, Odongo Francis Ngome Okello and Hyung‐Chul Lee and has published in prestigious journals such as ACS Nano, PLoS ONE and Scientific Reports.

In The Last Decade

Sejung Yang

61 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sejung Yang South Korea 15 168 139 127 120 95 71 722
Pantelis A. Asvestas Greece 17 268 1.6× 40 0.3× 143 1.1× 142 1.2× 205 2.2× 82 844
Francesco Leporati Italy 16 185 1.1× 46 0.3× 123 1.0× 198 1.6× 221 2.3× 91 914
Christian Heinrich France 14 164 1.0× 43 0.3× 128 1.0× 130 1.1× 169 1.8× 62 1.0k
L. Tavora Portugal 16 198 1.2× 124 0.9× 93 0.7× 97 0.8× 78 0.8× 78 813
Banghe Zhu United States 20 508 3.0× 180 1.3× 77 0.6× 404 3.4× 255 2.7× 52 1.3k
Walter Blondel France 17 428 2.5× 40 0.3× 68 0.5× 167 1.4× 133 1.4× 86 950
Jyh‐Wen Chai Taiwan 19 123 0.7× 64 0.5× 52 0.4× 95 0.8× 253 2.7× 80 895
María Rízzí Italy 13 77 0.5× 48 0.3× 123 1.0× 94 0.8× 51 0.5× 69 477
Ioannis Kalatzis Greece 19 193 1.1× 54 0.4× 294 2.3× 119 1.0× 356 3.7× 73 946

Countries citing papers authored by Sejung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sejung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sejung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sejung Yang. A scholar is included among the top collaborators of Sejung Yang 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 Sejung Yang. Sejung Yang 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.
Lee, Solam, Sanghoon Lee, Hang‐Seok Chang, et al.. (2025). Deep Learning Algorithms for Assessment of Post‐Thyroidectomy Scar Subtype. Dermatologic Therapy. 2025(1). 1 indexed citations
2.
Kang, Hye‐Na, et al.. (2025). Vision-language foundation models for medical imaging: a review of current practices and innovations. Biomedical Engineering Letters. 15(5). 809–830. 3 indexed citations
3.
Lee, Solam, et al.. (2025). Class-Agnostic Feature-Learning-Based Deep-Learning Model for Robust Melanoma Prediction. IEEE Journal of Biomedical and Health Informatics. 29(7). 4946–4955. 1 indexed citations
4.
Okello, Odongo Francis Ngome, Seung‐Young Seo, Jewook Park, et al.. (2024). Atomistic Probing of Defect-Engineered 2H-MoTe2 Monolayers. ACS Nano. 18(9). 6927–6935. 5 indexed citations
5.
Jang, Seunghyun, Seonghan Kim, Wan Choi, et al.. (2023). Deep learning framework for automated goblet cell density analysis in in-vivo rabbit conjunctiva. Scientific Reports. 13(1). 22839–22839.
6.
7.
Lee, Yerin, et al.. (2023). A nystagmus extraction system using artificial intelligence for video-nystagmography. Scientific Reports. 13(1). 11975–11975. 6 indexed citations
8.
Okello, Odongo Francis Ngome, Seung‐Young Seo, Kwang Ho Kim, et al.. (2023). Full automation of point defect detection in transition metal dichalcogenides through a dual mode deep learning algorithm. Materials Horizons. 11(3). 747–757. 3 indexed citations
9.
Lee, Solam, et al.. (2023). CoAt-Mixer: Self-attention deep learning framework for left ventricular hypertrophy using electrocardiography. PLoS ONE. 18(6). e0286916–e0286916. 6 indexed citations
10.
Lee, Solam, et al.. (2023). Deep Learning Algorithms for Estimation of Demographic and Anthropometric Features from Electrocardiograms. Journal of Clinical Medicine. 12(8). 2828–2828. 3 indexed citations
11.
Lee, Yerin, et al.. (2023). Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin Tumors. Sensors. 23(17). 7374–7374. 2 indexed citations
12.
13.
Kim, Sun Ju, et al.. (2023). Left ventricle segmentation in transesophageal echocardiography images using a deep neural network. PLoS ONE. 18(1). e0280485–e0280485. 7 indexed citations
14.
Lee, Soo‐Kyung, et al.. (2022). Evaluation of Atopic Dermatitis Improvement Caused by Low‐Level, Low‐Frequency Pulsed Electromagnetic Fields. Bioelectromagnetics. 43(4). 268–277. 3 indexed citations
15.
Yang, Sejung, et al.. (2022). Materials property mapping from atomic scale imaging via machine learning based sub-pixel processing. npj Computational Materials. 8(1). 11 indexed citations
16.
Kim, Tae Hyung, Jaehee Chun, Hojin Kim, et al.. (2022). Deep-Learning-Based Automatic Detection and Segmentation of Brain Metastases with Small Volume for Stereotactic Ablative Radiotherapy. Cancers. 14(10). 2555–2555. 15 indexed citations
17.
Okello, Odongo Francis Ngome, et al.. (2021). Atomic-level defect modulation and characterization methods in 2D materials. APL Materials. 9(10). 30 indexed citations
18.
Kim, Dong Wook, et al.. (2021). Advanced Kidney Volume Measurement Method Using Ultrasonography with Artificial Intelligence-Based Hybrid Learning in Children. Sensors. 21(20). 6846–6846. 7 indexed citations
19.
Kim, Yoon Suk, et al.. (2021). A Novel Method for Effective Cell Segmentation and Tracking in Phase Contrast Microscopic Images. Sensors. 21(10). 3516–3516. 5 indexed citations
20.
Cha, Eunju, Eun‐Hee Kang, Jong Chul Ye, et al.. (2020). Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images. Biomedical Signal Processing and Control. 58. 101846–101846. 12 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pantelis A. Asvestas Breakdown of academic impact, for papers by Francesco Leporati Breakdown of academic impact, for papers by Christian Heinrich Breakdown of academic impact, for papers by L. Tavora Breakdown of academic impact, for papers by Banghe Zhu Breakdown of academic impact, for papers by Walter Blondel Breakdown of academic impact, for papers by Jyh‐Wen Chai Breakdown of academic impact, for papers by María Rízzí Breakdown of academic impact, for papers by Ioannis Kalatzis
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