Adam Huang

745 total citations
49 papers, 528 citations indexed

About

Adam Huang is a scholar working on Oncology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adam Huang has authored 49 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adam Huang's work include Colorectal Cancer Screening and Detection (14 papers), Medical Image Segmentation Techniques (7 papers) and AI in cancer detection (7 papers). Adam Huang is often cited by papers focused on Colorectal Cancer Screening and Detection (14 papers), Medical Image Segmentation Techniques (7 papers) and AI in cancer detection (7 papers). Adam Huang collaborates with scholars based in United States, Taiwan and China. Adam Huang's co-authors include Ronald M. Summers, Hon‐Man Liu, Chung‐Wei Lee, Ya‐Fang Chen, Amy K. Hara, Nicholas Petrick, Marek Franaszek, Ching‐Yao Yang, Gwo-Shing Chen and Gregory M. Nielson and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Adam Huang

46 papers receiving 519 citations

Peers

Adam Huang

ONCOL

CVPR

RNMI

PRM

Changgong Zhang China

Jeffrey Glaister United States

David Clunie United States

Fayu Liu China

Dániel Tóth United Kingdom

Mitsutaka Nemoto Japan

Dan M. Popescu Romania

Yuki Shimahara Japan

Barbaros S. Erdal United States

Hugo Duarte Portugal

Changgong Zhang China

Adam Huang

291 ×1.2

ONCOL

204 ×1.7

CVPR

46 ×0.4

RNMI

39 ×0.4

71 ×0.7

PRM

Citations per year, relative to Adam Huang Adam Huang (= 1×) peers Changgong Zhang

Countries citing papers authored by Adam Huang

Since Specialization

Citations

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

Fields of papers citing papers by Adam Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Huang

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

All Works

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20 of 20 papers shown

Liu, Jian, Dan Li, Jing Li, et al.. (2025). Patient-derived organoids reveal marked heterogeneity in chemosensitivity profiles of colorectal cancer and a potential association with HER2 status. Frontiers in Pharmacology. 16. 1620764–1620764. 1 indexed citations

Lo, Men‐Tzung, et al.. (2024). A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression. Scientific Reports. 14(1). 31772–31772. 7 indexed citations

Huang, Adam, Chung‐Wei Lee, & Hon‐Man Liu. (2021). Time to peak and full width at half maximum in MR perfusion: valuable indicators for monitoring moyamoya patients after revascularization. Scientific Reports. 11(1). 479–479. 6 indexed citations

Lee, Bo‐Ching, Yen‐Heng Lin, Chung‐Wei Lee, Hon‐Man Liu, & Adam Huang. (2018). Prediction of Borderzone Infarction by CTA in Patients Undergoing Carotid Embolization for Carotid Blowout. American Journal of Neuroradiology. 39(7). 1280–1285. 7 indexed citations

Armstrong, April W., Wenhui Wei, Raymond Miao, et al.. (2017). 243 Real world systemic corticosteroid (SCS) utilization patterns and costs in adult patients with atopic dermatitis (AD). Journal of Investigative Dermatology. 137(5). S41–S41.

Huang, Adam, et al.. (2017). Evaluating and Improving Automatic Sleep Spindle Detection by Using Multi-Objective Evolutionary Algorithms. Frontiers in Human Neuroscience. 11. 261–261. 5 indexed citations

Huang, Adam, Chung‐Wei Lee, & Hon‐Man Liu. (2016). Rolling ball sifting algorithm for the augmented visual inspection of carotid bruit auscultation. Scientific Reports. 6(1). 30179–30179. 3 indexed citations

Chang, Wen‐Yu, et al.. (2015). The feasibility of using manual segmentation in a multifeature computer-aided diagnosis system for classification of skin lesions: a retrospective comparative study. BMJ Open. 5(4). e007823–e007823. 6 indexed citations

Huang, Adam, et al.. (2013). Computer-Aided Diagnosis of Skin Lesions Using Conventional Digital Photography: A Reliability and Feasibility Study. PLoS ONE. 8(11). e76212–e76212. 73 indexed citations

10.

Başer, Onur, et al.. (2013). Obese patients in the veteran population in the United States: A health care cost and utilization analysis. Value in Health. 16(3). A110–A110. 2 indexed citations

11.

Lee, Chung‐Wei, et al.. (2013). CT Angiography Findings in Carotid Blowout Syndrome and Its Role as a Predictor of 1-Year Survival. American Journal of Neuroradiology. 35(3). 562–567. 32 indexed citations

12.

Huang, Adam, et al.. (2010). Using Standard Nonenhanced Axial Scans for Cerebral CT Angiography Bone Elimination. Investigative Radiology. 45(5). 225–232. 4 indexed citations

13.

Huang, Adam, Jiang Li, Ronald M. Summers, Nicholas Petrick, & Amy K. Hara. (2010). Improving polyp detection algorithms for CT colonography: Pareto front approach. Pattern Recognition Letters. 31(11). 1461–1469. 6 indexed citations

14.

Huang, Adam, et al.. (2009). On Concise 3-D Simple Point Characterizations: A Marching Cubes Paradigm. IEEE Transactions on Medical Imaging. 28(1). 43–51. 23 indexed citations

15.

Yang, Ching‐Yao, Ya‐Fang Chen, Chung‐Wei Lee, et al.. (2008). Multiphase CT Angiography versus Single-Phase CT Angiography: Comparison of Image Quality and Radiation Dose. American Journal of Neuroradiology. 29(7). 1288–1295. 55 indexed citations

16.

Uitert, Robert Van, Jianhua Yao, Nicholas Petrick, et al.. (2008). Wavelet method for CT colonography computer-aided polyp detectiona). Medical Physics. 35(8). 3527–3538. 22 indexed citations

17.

Huang, Adam, Ronald M. Summers, Marek Franaszek, et al.. (2007). Teniae Coli–based Circumferential Localization System for CT Colonography: Feasibility Study. Radiology. 243(2). 551–560. 18 indexed citations

18.

Huang, Adam, et al.. (2006). Thin structure segmentation and visualization in three-dimensional biomedical images: a shape-based approach. IEEE Transactions on Visualization and Computer Graphics. 12(1). 93–102. 21 indexed citations

19.

Summers, Ronald M., Adam Huang, Jianhua Yao, et al.. (2006). Assessment of Polyp and Mass Histopathology by Intravenous Contrast–Enhanced CT Colonography. Academic Radiology. 13(12). 1490–1495. 7 indexed citations

20.

Huang, Adam & Gregory M. Nielson. (2003). A Comparison of Weighted Average Methods for Computing Normals to Marching Cubes Isosurfaces.. Vision Modeling and Visualization. 23(2). 399–406. 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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