Donghoon Yu

470 total citations
17 papers, 295 citations indexed

About

Donghoon Yu is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Donghoon Yu has authored 17 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Oncology. Recurrent topics in Donghoon Yu's work include Lung Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer-related Molecular Pathways (4 papers). Donghoon Yu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer-related Molecular Pathways (4 papers). Donghoon Yu collaborates with scholars based in South Korea, Netherlands and China. Donghoon Yu's co-authors include Jaeyoun Yi, Joon Beom Seo, Namkug Kim, Jihye Yun, Sang Min Lee, Jooae Choe, Hye Jeon Hwang, Minho Lee, Hee-Jun Park and June‐Goo Lee and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Donghoon Yu

16 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donghoon Yu South Korea	5	154	107	41	39	35	17	295
Wei-Lin Chen Taiwan	7	69 0.4×	169 1.6×	35 0.9×	32 0.8×	40 1.1×	9	342
Deborah Thompson United States	11	66 0.4×	109 1.0×	131 3.2×	83 2.1×	233 6.7×	30	469
Yitao Tian China	6	26 0.2×	36 0.3×	35 0.9×	68 1.7×	121 3.5×	11	351
Boram Song South Korea	10	67 0.4×	59 0.6×	46 1.1×	31 0.8×	79 2.3×	24	263
Xiaojing Kang China	9	13 0.1×	72 0.7×	100 2.4×	35 0.9×	93 2.7×	23	317
Ziran Zhao China	10	56 0.4×	12 0.1×	24 0.6×	59 1.5×	21 0.6×	29	200
Li-Wei Chen China	13	175 1.1×	120 1.1×	11 0.3×	65 1.7×	18 0.5×	51	377
Alexey Pryalukhin Germany	9	43 0.3×	67 0.6×	17 0.4×	81 2.1×	86 2.5×	22	294
Khushboo Munir Italy	5	34 0.2×	171 1.6×	73 1.8×	34 0.9×	190 5.4×	6	396

Countries citing papers authored by Donghoon Yu

Since Specialization

Citations

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

Fields of papers citing papers by Donghoon Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghoon Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Donghoon Yu. A scholar is included among the top collaborators of Donghoon Yu 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 Donghoon Yu. Donghoon Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Mao, Yifei, Marjolein A. Heuvelmans, Daiwei Han, et al.. (2025). Comparison of nodule volumetric classification by using two different nodule segmentation algorithms in an LDCT lung cancer baseline screening dataset. European Journal of Radiology. 191. 112290–112290.

Ahn, Yura, Jihye Yun, Hye Jeon Hwang, et al.. (2025). Longitudinal Tracking of Emphysema Holes at Noncontrast CT: Dynamic Patterns and Clinical Relationships. Radiology. 316(1). e243239–e243239. 1 indexed citations

Xie, Hao, Anthony B. El-Khoueiry, Angela Alistar, et al.. (2024). A first-in-human trial of selective CDK7 inhibitor Q901, in patients with advanced solid tumors: Interim results of a phase I study (QRNT-009).. Journal of Clinical Oncology. 42(16_suppl). 3078–3078. 2 indexed citations

Choe, Jooae, Hye Young Choi, Sang Min Lee, et al.. (2024). Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease. Scientific Reports. 14(1). 4587–4587. 3 indexed citations

Choe, Jooae, Hye Jeon Hwang, Sang Min Lee, et al.. (2022). Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification. European Journal of Radiology. 157. 110564–110564. 25 indexed citations

Zheng, Sunyi, Donghoon Yu, Valeria Chernina, et al.. (2022). Outstanding negative prediction performance of solid pulmonary nodule volume AI for ultra-LDCT baseline lung cancer screening risk stratification. Lung Cancer. 165. 133–140. 34 indexed citations

Yu, Donghoon, et al.. (2022). Abstract 2574: Q901; a highly selective covalent cdk7 inhibitor inducing substantial anti-tumor effect in a broad spectrum of solid tumor lineages. Cancer Research. 82(12_Supplement). 2574–2574. 2 indexed citations

Choe, Jooae, Hye Jeon Hwang, Joon Beom Seo, et al.. (2021). Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT. Radiology. 302(1). 187–197. 83 indexed citations

Yu, Donghoon, et al.. (2021). Abstract 1953: Q901, a selective CDK7 inhibitor, a potential new strategy for primary and CDK4/6 inhibitor resistant ER-positive breast cancer. Cancer Research. 81(13_Supplement). 1953–1953. 4 indexed citations

10.

Yu, Donghoon, Jaeseung Kim, Choa Park, et al.. (2020). Abstract 4855: Development of highly selective CDK7 inhibitor Q901 for solid tumors. Cancer Research. 80(16_Supplement). 4855–4855. 4 indexed citations

11.

Yun, Jihye, Donghoon Yu, Jaeyoun Yi, et al.. (2018). Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. Medical Image Analysis. 51. 13–20. 75 indexed citations

12.

Yu, Donghoon, et al.. (2016). Automated Detection Algorithm of Breast Masses in Three-Dimensional Ultrasound Images. Healthcare Informatics Research. 22(4). 293–293. 3 indexed citations

13.

Liu, Kangdong, Donghoon Yu, Yong‐Yeon Cho, et al.. (2013). Sunlight UV-Induced Skin Cancer Relies upon Activation of the p38α Signaling Pathway. Cancer Research. 73(7). 2181–2188. 53 indexed citations

14.

Yu, Donghoon, Sooyeul Lee, Jeong Won Lee, & Seung-Hwan Kim. (2011). Automatic lesion detection and segmentation algorithm on 2D breast ultrasound images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79631Y–79631Y. 2 indexed citations

15.

Yu, Donghoon & Jong Beom. (2005). Fine spatial scalability in wavelet based image coding. II–862. 1 indexed citations

16.

Yu, Donghoon, Sung Kyu Jang, & Jong Beom. (2003). Fast motion estimation for shape coding in MPEG-4. IEEE Transactions on Circuits and Systems for Video Technology. 13(4). 358–363. 2 indexed citations

17.

Yu, Donghoon, Sung Kyu Jang, & Jong Beom. (2002). A fast motion estimation algorithm for MPEG-4 shape coding. 1. 876–879. 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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