Mi Huang

689 total citations
10 papers, 505 citations indexed

About

Mi Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mi Huang has authored 10 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mi Huang's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced X-ray and CT Imaging (4 papers). Mi Huang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced X-ray and CT Imaging (4 papers). Mi Huang collaborates with scholars based in United States, China and United Kingdom. Mi Huang's co-authors include Tianye Niu, Pengfei Yang, Chen Luo, Lei Xu, Peng Lin, Zhaoming Ye, Yan Wu, Binghao Li, H. Geng and Zhiyi Peng and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Mi Huang

10 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mi Huang United States	10	403	195	119	85	84	10	505
Qingtao Qiu China	16	495 1.2×	273 1.4×	118 1.0×	97 1.1×	134 1.6×	51	614
R. Berenguer Spain	10	470 1.2×	197 1.0×	208 1.7×	81 1.0×	88 1.0×	20	632
Chen Luo China	13	471 1.2×	230 1.2×	191 1.6×	106 1.2×	89 1.1×	27	571
M Jermoumi United States	4	586 1.5×	241 1.2×	228 1.9×	48 0.6×	99 1.2×	9	668
Nilesh Sable India	11	181 0.4×	276 1.4×	43 0.4×	133 1.6×	80 1.0×	65	625
Sonja Stieb Switzerland	15	399 1.0×	265 1.4×	108 0.9×	101 1.2×	80 1.0×	43	650
Vincent Bourbonne France	13	421 1.0×	299 1.5×	93 0.8×	37 0.4×	126 1.5×	71	584
Elisabeth Pfaehler Netherlands	15	649 1.6×	252 1.3×	186 1.6×	35 0.4×	105 1.3×	31	721
Aslı Okur Germany	12	213 0.5×	197 1.0×	106 0.9×	127 1.5×	82 1.0×	21	486
Giacomo Feliciani Italy	10	343 0.9×	183 0.9×	128 1.1×	67 0.8×	87 1.0×	32	455

Countries citing papers authored by Mi Huang

Since Specialization

Citations

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

Fields of papers citing papers by Mi Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Huang. A scholar is included among the top collaborators of Mi 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 Mi Huang. Mi 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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10 of 10 papers shown

Li, Jianxiang, Hong Yang, Yuhang Dong, et al.. (2023). Fabrication of antibacterial Fe3+-carboxymethylcellulose-polyacrylamide-Ag nanoparticles hydrogel coating for urinary catheters. Colloids and Surfaces A Physicochemical and Engineering Aspects. 672. 131680–131680. 17 indexed citations

Huang, Mi, Zhuoran Jiang, Yushi Chang, et al.. (2022). Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysis. Physics in Medicine and Biology. 67(8). 85003–85003. 19 indexed citations

Lin, Peng, Pengfei Yang, Shi Chen, et al.. (2020). A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma. Cancer Imaging. 20(1). 7–7. 93 indexed citations

Huang, Mi, Zhuoran Jiang, Yushi Chang, et al.. (2020). 4D radiomics: impact of 4D-CBCT image quality on radiomic analysis. Physics in Medicine and Biology. 66(4). 45023–45023. 17 indexed citations

Xu, Lei, Pengfei Yang, Wenjie Liang, et al.. (2019). A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma. Theranostics. 9(18). 5374–5385. 124 indexed citations

Nie, Ke, Hania Al‐Hallaq, X. Allen Li, et al.. (2019). NCTN Assessment on Current Applications of Radiomics in Oncology. International Journal of Radiation Oncology*Biology*Physics. 104(2). 302–315. 43 indexed citations

Men, Kuo, H. Geng, Chingyun Cheng, et al.. (2018). Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades. Medical Physics. 46(1). 286–292. 42 indexed citations

Wu, Yan, Lei Xu, Pengfei Yang, et al.. (2018). Survival Prediction in High-grade Osteosarcoma Using Radiomics of Diagnostic Computed Tomography. EBioMedicine. 34. 27–34. 90 indexed citations

Men, Kuo, Pamela Boimel, James Janopaul‐Naylor, et al.. (2018). Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy. Physics in Medicine and Biology. 63(18). 185016–185016. 49 indexed citations

10.

Men, Kuo, Pamela Boimel, James Janopaul‐Naylor, et al.. (2018). A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer. Journal of Applied Clinical Medical Physics. 20(1). 110–117. 11 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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