Adam Huang

92 total papers · 740 total citations
48 papers, 525 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 48 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 11 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), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Adam Huang is often cited by papers focused on Colorectal Cancer Screening and Detection (14 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 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 Tian-Yau Wu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Adam Huang

46 papers receiving 516 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Adam Huang	245	118	117	110	98	48	525
Jeffrey Glaister	219 0.9×	86 0.7×	109 0.9×	174 1.6×	71 0.7×	22	473
Yongtao Zhang	62 0.3×	73 0.6×	111 0.9×	63 0.6×	45 0.5×	54	566
Nan Yang	75 0.3×	152 1.3×	144 1.2×	185 1.7×	53 0.5×	53	526
Dániel Tóth	74 0.3×	155 1.3×	160 1.4×	31 0.3×	81 0.8×	48	563
K D Kunze	123 0.5×	39 0.3×	57 0.5×	127 1.2×	31 0.3×	37	601
Mitsutaka Nemoto	36 0.1×	93 0.8×	201 1.7×	118 1.1×	156 1.6×	50	521
Li Jiang	151 0.6×	73 0.6×	175 1.5×	84 0.8×	143 1.5×	25	523
Dag Pavić	174 0.7×	44 0.4×	165 1.4×	151 1.4×	169 1.7×	31	574
Frederic Madesta	129 0.5×	67 0.6×	364 3.1×	167 1.5×	112 1.1×	19	556
Alessandro Riccardi	70 0.3×	93 0.8×	160 1.4×	149 1.4×	97 1.0×	44	612

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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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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