Hyeyoon Chang

763 total citations
28 papers, 578 citations indexed

About

Hyeyoon Chang is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Hyeyoon Chang has authored 28 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Epidemiology. Recurrent topics in Hyeyoon Chang's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Hyeyoon Chang is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Hyeyoon Chang collaborates with scholars based in South Korea, Japan and United States. Hyeyoon Chang's co-authors include Aeree Kim, Baek‐hui Kim, Jienan Kong, Hayeon Kim, Aeree Kim, Wonkyung Jung, Han Kyeom Kim, Woon Yong Jung, Hao Lin and Chung‐Cheng Huang and has published in prestigious journals such as Cancer Research, Oncogene and Scientific Reports.

In The Last Decade

Hyeyoon Chang

26 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyeyoon Chang South Korea 13 282 155 134 108 92 28 578
Na Cheng China 9 143 0.5× 146 0.9× 109 0.8× 77 0.7× 78 0.8× 29 576
Laurie L. Carr United States 12 271 1.0× 186 1.2× 244 1.8× 87 0.8× 85 0.9× 15 810
Yu Zeng China 16 176 0.6× 208 1.3× 185 1.4× 56 0.5× 120 1.3× 47 672
Kazuhiro Tabata Japan 14 151 0.5× 151 1.0× 260 1.9× 107 1.0× 95 1.0× 75 697
Katrin Bankov Germany 14 189 0.7× 129 0.8× 126 0.9× 109 1.0× 73 0.8× 36 481
Annika Blank Switzerland 17 387 1.4× 147 0.9× 95 0.7× 218 2.0× 106 1.2× 40 798
Sukjoong Oh South Korea 13 252 0.9× 121 0.8× 107 0.8× 164 1.5× 78 0.8× 52 783
Yulia Bronstein United States 10 644 2.3× 209 1.3× 148 1.1× 147 1.4× 61 0.7× 15 903
Wen-Yih Liang Taiwan 14 501 1.8× 146 0.9× 132 1.0× 174 1.6× 126 1.4× 22 755
Giuseppe Nicolò Fanelli Italy 14 237 0.8× 209 1.3× 133 1.0× 60 0.6× 198 2.2× 46 630

Countries citing papers authored by Hyeyoon Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hyeyoon Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeyoon Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeyoon Chang. A scholar is included among the top collaborators of Hyeyoon Chang 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 Hyeyoon Chang. Hyeyoon Chang 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, Chan Ho, Won Young Park, Ja Yoon Ku, et al.. (2025). Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens. Scientific Reports. 15(1). 11006–11006.
2.
Kim, Hyunil, et al.. (2023). RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis. Bioengineering. 10(11). 1279–1279. 3 indexed citations
3.
Chang, Hyeyoon, et al.. (2021). Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning. npj Digital Medicine. 4(1). 99–99. 33 indexed citations
4.
Yu, Young‐Dong, Hyung Joon Han, Dong‐Sik Kim, et al.. (2018). Clinical significance of pancreatic intraepithelial neoplasia in resectable pancreatic cancer on survivals. Annals of Surgical Treatment and Research. 94(5). 247–247. 12 indexed citations
5.
Chang, Hyeyoon, Jin Hwa Hong, Jae Kwan Lee, et al.. (2018). Programmed death-1 (PD-1) expression in cervical intraepithelial neoplasia and its relationship with recurrence after conization. Journal of Gynecologic Oncology. 29(3). e27–e27. 14 indexed citations
6.
Chang, Hyeyoon, Jung Sun Kim, Yoon Ji Choi, et al.. (2017). Overexpression of PD-L2 is associated with shorter relapse-free survival in patients with malignant salivary gland tumors. OncoTargets and Therapy. Volume 10. 2983–2992. 46 indexed citations
7.
Kim, Hayeon, Jong Wook Kim, Aeree Kim, & Hyeyoon Chang. (2017). Clear Cell Renal Cell Carcinoma with Intratumoral Granulomatous Reaction: A Case Report and Review of the Literature. Journal of Pathology and Translational Medicine. 51(3). 325–328. 1 indexed citations
8.
9.
Jung, Wonkyung, Eun Jung Lee, Hyeyoon Chang, et al.. (2016). SIRT7, H3K18ac, and ELK4 Immunohistochemical Expression in Hepatocellular Carcinoma. Journal of Pathology and Translational Medicine. 50(5). 337–344. 27 indexed citations
10.
Choi, Yoo Jin, et al.. (2016). A Case of Malignant PEComa of the Uterus Associated with Intramural Leiomyoma and Endometrial Carcinoma. Journal of Pathology and Translational Medicine. 50(6). 469–473. 8 indexed citations
11.
Choi, Jin‐Hyuk, Chungyeul Kim, Ha Yeon Kim, et al.. (2016). Detection of Human Papillomavirus in Korean Breast Cancer Patients by Real-Time Polymerase Chain Reaction and Meta-Analysis of Human Papillomavirus and Breast Cancer. Journal of Pathology and Translational Medicine. 50(6). 442–450. 19 indexed citations
12.
Kim, Hyun Jung, Aeree Kim, Hyeong Sik Ahn, et al.. (2015). Meta-analysis reveals no significant correlation between breast cancer survival and ErbB3 expression. Apmis. 123(5). 383–393. 2 indexed citations
13.
Chang, Hyeyoon, et al.. (2015). Expression of ROR1, pAkt, and pCREB in gastric adenocarcinoma. Annals of Diagnostic Pathology. 19(5). 330–334. 26 indexed citations
14.
Lee, Youngseok, Young-Joon Ryu, Hoiseon Jeong, et al.. (2012). Effectiveness of Silver-enhanced In Situ Hybridization for Evaluating HER2 Gene Status in Invasive Breast Carcinoma: A Comparative Study. Archives of Medical Research. 43(2). 139–144. 8 indexed citations
15.
Chang, Hyeyoon, et al.. (2012). Pigmented Perivascular Epithelioid Cell Tumor (PEComa) of the Kidney: A Case Report and Review of the Literature. The Korean Journal of Pathology. 46(5). 499–499. 12 indexed citations
16.
17.
Chang, Hyeyoon, et al.. (2010). Review of Acupuncture Related Death Cases with a Case Report: Acupuncture Shock?. Korean Journal of Legal Medicine. 34(1). 67–71. 1 indexed citations
18.
Jones, Richard, Alex Fang, M.N. Sysak, et al.. (2010). Hybrid silicon lasers: Integration of III–V and silicon photonics using wafer bonding. 1–2.
19.
Oh, Junseo, et al.. (2006). TIMP-2 upregulates RECK expression via dephosphorylation of paxillin tyrosine residues 31 and 118. Oncogene. 25(30). 4230–4234. 38 indexed citations
20.
Lin, Hao, et al.. (2004). Prediction of disease persistence after conization for microinvasive cervical carcinoma and cervical intraepithelial neoplasia grade 3. International Journal of Gynecological Cancer. 14(2). 311–316. 27 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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