Hannah Horng

554 total citations
22 papers, 316 citations indexed

About

Hannah Horng is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hannah Horng has authored 22 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hannah Horng's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced X-ray and CT Imaging (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Hannah Horng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced X-ray and CT Imaging (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Hannah Horng collaborates with scholars based in United States, China and Russia. Hannah Horng's co-authors include Russell T. Shinohara, Despina Kontos, Peter B. Noël, Sharyn I. Katz, Eric A. Cohen, Babak Haghighi, Bardia Yousefi, Vishnu Bashyam, Mingyao Li and Meichen Yu and has published in prestigious journals such as NeuroImage, Cancer Research and Scientific Reports.

In The Last Decade

Hannah Horng

21 papers receiving 311 citations

Peers

Hannah Horng
Niels Verburg Netherlands
Renske Gahrmann Netherlands
Matthew Brendel United States
Erik Pearson United States
Niels Verburg Netherlands
Hannah Horng
Citations per year, relative to Hannah Horng Hannah Horng (= 1×) peers Niels Verburg

Countries citing papers authored by Hannah Horng

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Horng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Horng

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Horng. A scholar is included among the top collaborators of Hannah Horng 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 Hannah Horng. Hannah Horng 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.
Winham, Stacey J., Anne Marie McCarthy, Christopher G. Scott, et al.. (2025). Radiomic Parenchymal Phenotypes of Breast Texture from Mammography and Association with Risk of Breast Cancer. Radiology. 315(2). e240281–e240281. 1 indexed citations
2.
Horng, Hannah, Leonid Roshkovan, Eric A. Cohen, et al.. (2025). Development of a prognostic multiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first line immunotherapy. Scientific Reports. 15(1). 34591–34591.
3.
Hu, Fengling, Alfredo Lucas, Andrew A. Chen, et al.. (2024). DeepComBat : A statistically motivated, hyperparameter‐robust, deep learning approach to harmonization of neuroimaging data. Human Brain Mapping. 45(11). e26708–e26708. 6 indexed citations
4.
Horng, Hannah, Christopher G. Scott, Stacey J. Winham, et al.. (2024). Multivariate testing and effect size measures for batch effect evaluation in radiomic features. Scientific Reports. 14(1). 13923–13923. 1 indexed citations
5.
Roshkovan, Leonid, Hannah Horng, Andrew Chen, et al.. (2024). Radiomics Analysis for the Identification of Invasive Pulmonary Subsolid Nodules From Longitudinal Presurgical CT Scans. Journal of Thoracic Imaging. 40(1). 1 indexed citations
6.
Haghighi, Babak, Hannah Horng, Peter B. Noël, et al.. (2023). Radiomic phenotyping of the lung parenchyma in a lung cancer screening cohort. Scientific Reports. 13(1). 2040–2040. 2 indexed citations
7.
Winham, Stacey J., Anne Marie McCarthy, Aimilia Gastounioti, et al.. (2023). Abstract GS4-06: Radiomic phenotypes of breast texture and association with breast cancer risk and masking. Cancer Research. 83(5_Supplement). GS4–6. 1 indexed citations
8.
Hu, Fengling, Andrew A. Chen, Hannah Horng, et al.. (2023). Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. NeuroImage. 274. 120125–120125. 65 indexed citations
9.
Luna, José Marcio, Andrew R. Barsky, Russell T. Shinohara, et al.. (2022). Radiomic Phenotypes for Improving Early Prediction of Survival in Stage III Non-Small Cell Lung Cancer Adenocarcinoma after Chemoradiation. Cancers. 14(3). 700–700. 7 indexed citations
10.
Horng, Hannah, Rhea Chitalia, Leonid Roshkovan, et al.. (2022). Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans. Scientific Reports. 12(1). 21505–21505. 10 indexed citations
11.
Horng, Hannah, Bardia Yousefi, Eric A. Cohen, et al.. (2022). Generalized ComBat harmonization methods for radiomic features with multi-modal distributions and multiple batch effects. Scientific Reports. 12(1). 4493–4493. 56 indexed citations
12.
Horng, Hannah, Jackson Steinkamp, Charles E. Kahn, & Tessa S. Cook. (2022). Ensemble Approaches to Recognize Protected Health Information in Radiology Reports. Journal of Digital Imaging. 35(6). 1694–1698. 3 indexed citations
13.
Horng, Hannah, Leonid Roshkovan, Peter B. Noël, et al.. (2022). Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy. Scientific Reports. 12(1). 9993–9993. 10 indexed citations
14.
Horng, Hannah, Bardia Yousefi, Eric A. Cohen, et al.. (2022). Improved generalized ComBat methods for harmonization of radiomic features. Scientific Reports. 12(1). 19009–19009. 20 indexed citations
15.
Hu, Rong, et al.. (2022). Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI. Scientific Reports. 12(1). 7924–7924. 22 indexed citations
16.
Liu, Yen‐Liang, Chao‐Kai Chou, Cong Liu, et al.. (2019). Assessing metastatic potential of breast cancer cells based on EGFR dynamics. Scientific Reports. 9(1). 3395–3395. 47 indexed citations
17.
Guo, Hengchang, Hannah Horng, Hui Li, et al.. (2019). Morphological and functional characteristics of aging kidneys based on two‐photon microscopy in vivo. Journal of Biophotonics. 13(2). e201900246–e201900246. 6 indexed citations
18.
Tang, Qinggong, Zhifang Li, Hannah Horng, et al.. (2018). Quantitative evaluation of redox ratio and collagen characteristics during breast cancer chemotherapy using two-photon intrinsic imaging. Biomedical Optics Express. 9(3). 1375–1375. 30 indexed citations
19.
Tang, Qinggong, Tadanobu Nagaya, Hannah Horng, et al.. (2018). 3D mesoscopic fluorescence tomography for imaging micro-distribution of antibody-photon absorber conjugates during near infrared photoimmunotherapy in vivo. Journal of Controlled Release. 279. 171–180. 18 indexed citations
20.
Horng, Hannah, et al.. (2018). Biomimetic Microvascular Tissue Phantoms Fabricated with Two-Photon 3D Printing. Frontiers in Optics / Laser Science. JW3A.118–JW3A.118. 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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