Boram Song

404 total citations
24 papers, 263 citations indexed

About

Boram Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Boram Song has authored 24 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Boram Song's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Digital Imaging for Blood Diseases (5 papers). Boram Song is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Digital Imaging for Blood Diseases (5 papers). Boram Song collaborates with scholars based in South Korea, Japan and Ethiopia. Boram Song's co-authors include Kyungeun Kim, Jin Tae Kwak, Kyung Chul Moon, Chul Lee, Jeong Hwan Park, Bohyun Kim, Jihyeung Ju, Bong Lee, Jin Seon Kwon and Doo Yeon Kwon and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Boram Song

22 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boram Song South Korea 10 79 67 59 55 46 24 263
Viviana Benfante Italy 13 66 0.8× 107 1.6× 192 3.3× 21 0.4× 64 1.4× 21 390
Christina A. Hulsbergen ‐ van de Kaa Netherlands 6 87 1.1× 135 2.0× 162 2.7× 107 1.9× 47 1.0× 6 343
Alexey Pryalukhin Germany 9 86 1.1× 43 0.6× 67 1.1× 82 1.5× 17 0.4× 22 294
Manuel Neuberger Germany 9 45 0.6× 111 1.7× 57 1.0× 50 0.9× 14 0.3× 38 232
Kao-Lun Wang Taiwan 6 81 1.0× 44 0.7× 82 1.4× 25 0.5× 40 0.9× 11 222
Yudong Qiu China 11 20 0.3× 54 0.8× 53 0.9× 125 2.3× 11 0.2× 34 345
Ji Eun Oh South Korea 9 97 1.2× 45 0.7× 192 3.3× 24 0.4× 41 0.9× 29 317
Wei-Lin Chen Taiwan 7 40 0.5× 69 1.0× 169 2.9× 37 0.7× 35 0.8× 9 342
Oğuz Özden Cebeci Türkiye 7 59 0.7× 118 1.8× 54 0.9× 54 1.0× 10 0.2× 16 227
Xiaojun Lin China 11 24 0.3× 28 0.4× 36 0.6× 56 1.0× 19 0.4× 23 313

Countries citing papers authored by Boram Song

Since Specialization
Citations

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

Fields of papers citing papers by Boram Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boram Song

This figure shows the co-authorship network connecting the top 25 collaborators of Boram Song. A scholar is included among the top collaborators of Boram Song 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 Boram Song. Boram Song 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.
Song, Boram, et al.. (2026). CAMP: continuous and adaptive learning model in pathology. SHILAP Revista de lepidopterología. 2(1).
2.
Song, Boram, et al.. (2025). DIOR-ViT: Differential ordinal learning Vision Transformer for cancer classification in pathology images. Medical Image Analysis. 105. 103708–103708. 2 indexed citations
3.
Song, Boram, et al.. (2024). Spatially-Constrained and -Unconstrained Bi-Graph Interaction Network for Multi-Organ Pathology Image Classification. IEEE Transactions on Medical Imaging. 44(1). 194–206. 2 indexed citations
4.
Song, Boram, et al.. (2024). DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images. Computer Methods and Programs in Biomedicine. 248. 108112–108112. 6 indexed citations
5.
Kim, Kyungeun, et al.. (2023). Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images. Medical Image Analysis. 90. 102936–102936. 10 indexed citations
6.
Chae, Seoung Wan, et al.. (2023). Comparison of the Characteristics of Three Acellular Dermal Matrices Subjected to Distinct Processing Methods Using Five Types of Histochemical Staining. Aesthetic Plastic Surgery. 47(4). 1315–1323. 3 indexed citations
7.
Song, Boram, et al.. (2023). Clear Cell Adenocarcinoma of Urethra: Clinical and Pathologic Implications and Characterization of Molecular Aberrations. Cancer Research and Treatment. 56(1). 280–293. 4 indexed citations
8.
Lee, Hyoun Wook, et al.. (2022). Colorectal cancers with a residual adenoma component: Clinicopathologic features and KRAS mutation. PLoS ONE. 17(9). e0273723–e0273723.
9.
Kim, Kyungeun, et al.. (2022). Multi-Cell Type and Multi-Level Graph Aggregation Network for Cancer Grading in Pathology Images. SSRN Electronic Journal. 1 indexed citations
10.
Song, Boram, et al.. (2022). SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images. IEEE Journal of Biomedical and Health Informatics. 26(7). 3218–3228. 47 indexed citations
11.
Song, Boram, In‐Gu Do, Dong‐Hoe Koo, et al.. (2021). Venous Invasion and Perineural Invasion as Upstaging and Poor Prognostic Factors in N0 Gastric Cancers. Anticancer Research. 41(11). 5803–5810. 6 indexed citations
12.
Kim, Kyungeun, et al.. (2021). Joint categorical and ordinal learning for cancer grading in pathology images. Medical Image Analysis. 73. 102206–102206. 25 indexed citations
13.
Lee, Chul, Bohyun Kim, Boram Song, Jeong Hwan Park, & Kyung Chul Moon. (2017). Clinicopathologic Features of Benign Neurogenic Tumor of Urinary Bladder. International Journal of Surgical Pathology. 26(3). 221–228. 6 indexed citations
14.
Song, Boram, et al.. (2017). Intraosseous Hibernoma: A Rare and Unique Intraosseous Lesion. Journal of Pathology and Translational Medicine. 51(5). 499–504. 14 indexed citations
15.
Lee, Chul, Bohyun Kim, Boram Song, & Kyung Chul Moon. (2017). Implication of PHF2 Expression in Clear Cell Renal Cell Carcinoma. Journal of Pathology and Translational Medicine. 51(4). 359–364. 11 indexed citations
16.
Kim, Bohyun, et al.. (2016). HER2 Protein Overexpression and Gene Amplification in Plasmacytoid Urothelial Carcinoma of the Urinary Bladder. Disease Markers. 2016. 1–6. 20 indexed citations
17.
Park, Jeong Hwan, et al.. (2016). Renal epithelioid angiomyolipoma: Histopathologic review, immunohistochemical evaluation and prognostic significance. Pathology International. 66(10). 571–577. 20 indexed citations
18.
Song, Boram, et al.. (2015). Antioxidant Activities of Perilla frutescens Britton Seed Extract and Its Inhibitory Effects against Major Characteristics of Cancer Cells. Journal of the Korean Society of Food Science and Nutrition. 44(2). 208–215. 7 indexed citations
19.
Lee, Yuna, Boram Song, & Jihyeung Ju. (2014). Anti-inflammatory Activity of Perilla frutescens Britton Seed in RAW 264.7 Macrophages and an Ulcerative Colitis Mouse Model. Korean Journal of Food Science and Technology. 46(1). 61–67. 6 indexed citations
20.
Kwon, Jin Seon, Doo Yeon Kwon, Da Yeon Kim, et al.. (2013). Injectable in situ-forming hydrogel for cartilage tissue engineering. Journal of Materials Chemistry B. 1(26). 3314–3314. 41 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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