Sanghoon Lee

1.2k total citations
45 papers, 373 citations indexed

About

Sanghoon Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Sanghoon Lee has authored 45 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Biophysics. Recurrent topics in Sanghoon Lee's work include AI in cancer detection (10 papers), Medical Image Segmentation Techniques (4 papers) and Cell Image Analysis Techniques (4 papers). Sanghoon Lee is often cited by papers focused on AI in cancer detection (10 papers), Medical Image Segmentation Techniques (4 papers) and Cell Image Analysis Techniques (4 papers). Sanghoon Lee collaborates with scholars based in United States, South Korea and Philippines. Sanghoon Lee's co-authors include Lee Cooper, David A. Gutman, Deepak R. Chittajallu, Jonathan Beezley, David Manthey, Mohammed Khalilia, Mohamed Amgad, Mohamed Masoud, Sameer H. Halani and Daniel J. Brat and has published in prestigious journals such as Cancer Research, Scientific Reports and IEEE Access.

In The Last Decade

Sanghoon Lee

38 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanghoon Lee United States	9	192	78	76	69	54	45	373
Sherine Salama Canada	9	126 0.7×	49 0.6×	87 1.1×	52 0.8×	29 0.5×	15	320
Paul van Diest Netherlands	4	186 1.0×	101 1.3×	127 1.7×	81 1.2×	48 0.9×	4	349
Deborah Thompson United States	11	233 1.2×	83 1.1×	109 1.4×	131 1.9×	60 1.1×	30	469
Ivy Liang United States	2	228 1.2×	52 0.7×	161 2.1×	72 1.0×	33 0.6×	3	385
Anna Korzyńska Poland	12	151 0.8×	65 0.8×	81 1.1×	115 1.7×	129 2.4×	36	417
Shazia Akbar United Kingdom	8	150 0.8×	39 0.5×	116 1.5×	104 1.5×	50 0.9×	20	269
Ksenija Kanjer Serbia	13	93 0.5×	90 1.2×	103 1.4×	34 0.5×	35 0.6×	32	336
Aiping Qu China	13	184 1.0×	29 0.4×	120 1.6×	153 2.2×	36 0.7×	30	391
David Romo‐Bucheli Colombia	6	179 0.9×	43 0.6×	232 3.1×	58 0.8×	42 0.8×	13	327
Maha Shady United States	5	354 1.8×	97 1.2×	270 3.6×	91 1.3×	48 0.9×	10	522

Countries citing papers authored by Sanghoon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Sanghoon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghoon Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Sanghoon, et al.. (2025). Color Normalization Analysis for Semantic Image Segmentation on Histopathology Images. 171–176.

Mun, Seong K., Young-Jin Oh, & Sanghoon Lee. (2025). Data processing method for evaluating pipe wall thinning in nuclear secondary systems using SVM regression algorithm. Nuclear Engineering and Technology. 57(7). 103517–103517. 1 indexed citations

Burman, J. F., et al.. (2024). Comprehensive Experiments on Breast Cancer Hematoxylin and Eosin-stained Images Using UNet. 121–128. 2 indexed citations

Lee, Sanghoon, et al.. (2024). SN-FPN: Self-Attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation. IEEE Access. 12. 92764–92773. 3 indexed citations

Lee, Sanghoon, et al.. (2024). Class Probability-guided Ensemble Learning-based Semantic Segmentation to Predict Cancerous Regions on Hematoxylin and Eosin-stained Images. 49–56. 2 indexed citations

Lee, Sanghoon, et al.. (2023). HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer. 4439–4443. 3 indexed citations

Liu, Xuan, Zhongqi Ge, Fei Yang, et al.. (2022). Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers. npj Breast Cancer. 8(1). 64–64. 5 indexed citations

Figueiredo-Pontes, Lorena Lôbo de, Hong Zhang, Hynek Strnad, et al.. (2021). Improved hematopoietic stem cell transplantation upon inhibition of natural killer cell-derived interferon-gamma. Stem Cell Reports. 16(8). 1999–2013. 5 indexed citations

Lee, Sanghoon, et al.. (2021). Implementation of Diabetes Incidence Prediction Using a Multilayer Perceptron Neural Network. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3089–3091. 7 indexed citations

10.

Lee, Sanghoon, et al.. (2021). Predicting Fruit Fly Behaviour using TOLC device and DeepLabCut. 1–6. 1 indexed citations

11.

Lee, Sanghoon, Mohamed Amgad, Pooya Mobadersany, et al.. (2020). Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers. Cancer Research. 81(4). 1171–1177. 14 indexed citations

12.

Lee, Sungsoo, Sanghoon Lee, Jin Wook Lee, et al.. (2019). Estimates of Growth Curve of Body Weight and Absolute Growth Rate for Male Elk. 30(1). 1–7.

13.

Gutman, David A., Mohammed Khalilia, Sanghoon Lee, et al.. (2017). The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research. Cancer Research. 77(21). e75–e78. 100 indexed citations

14.

Masoud, Mohamed, Sanghoon Lee, & Saeid Belkasim. (2016). Statistical-Based Image Tagging. 294. 610–613. 1 indexed citations

15.

Lee, Sanghoon, et al.. (2015). Domain specific information retrieval and text mining in medical document. 67–76. 5 indexed citations

16.

Lee, Sanghoon, et al.. (2013). Real Time Micro-blog Summarization Based on Hadoop/HBase. 46–49. 5 indexed citations

17.

Lee, Sanghoon & James Tuck. (2011). Automatic parallelization of fine-grained meta-functions on a chip multiprocessor. 130–140. 3 indexed citations

18.

Meystre, Stéphane M., et al.. (2011). Common data model for natural language processing based on two existing standard information models: CDA+GrAF. Journal of Biomedical Informatics. 45(4). 703–710. 4 indexed citations

19.

Lee, Sanghoon & James Tuck. (2011). Automatic parallelization of fine-grained meta-functions on a chip multiprocessor. 2029. 130–140. 3 indexed citations

20.

Lee, Sanghoon, Il Hong Suh, & Woo Young Kwon. (2008). A Motivation-Based Action-Selection-Mechanism Involving Reinforcement Learning. International Journal of Control Automation and Systems. 6(6). 904–914. 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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