Huimao Zhang

3.3k total citations
94 papers, 2.5k citations indexed

About

Huimao Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Huimao Zhang has authored 94 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Biomedical Engineering and 18 papers in Materials Chemistry. Recurrent topics in Huimao Zhang's work include Radiomics and Machine Learning in Medical Imaging (27 papers), Nanoplatforms for cancer theranostics (13 papers) and Advanced X-ray and CT Imaging (12 papers). Huimao Zhang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (27 papers), Nanoplatforms for cancer theranostics (13 papers) and Advanced X-ray and CT Imaging (12 papers). Huimao Zhang collaborates with scholars based in China, United States and Hong Kong. Huimao Zhang's co-authors include Zhenxin Wang, Fuyao Liu, Xiuxia He, Junping Zhang, Hongda Chen, Chunjie Guo, Xueyan Li, Haotong Wei, Yang Bai and Yu Fu and has published in prestigious journals such as Advanced Materials, Nature Communications and PLoS ONE.

In The Last Decade

Huimao Zhang

87 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huimao Zhang China 29 866 821 714 395 370 94 2.5k
Zhengyang Zhou China 30 1.4k 1.6× 1.4k 1.7× 1.2k 1.6× 457 1.2× 540 1.5× 166 4.0k
Yang Du China 30 2.1k 2.4× 697 0.8× 470 0.7× 121 0.3× 632 1.7× 128 3.7k
Xibo Ma China 24 1.5k 1.7× 407 0.5× 347 0.5× 202 0.5× 342 0.9× 59 2.2k
Paul Kumar Upputuri Singapore 27 3.1k 3.6× 1.1k 1.4× 543 0.8× 189 0.5× 326 0.9× 60 3.6k
Liqiang Zhou China 21 1.2k 1.3× 537 0.7× 419 0.6× 160 0.4× 292 0.8× 37 2.3k
Ping Gong China 25 2.0k 2.3× 862 1.0× 577 0.8× 176 0.4× 743 2.0× 104 3.1k
Sun Mi Kim South Korea 32 364 0.4× 739 0.9× 809 1.1× 225 0.6× 67 0.2× 164 3.3k
Zeyu Zhang China 20 1.2k 1.4× 578 0.7× 369 0.5× 89 0.2× 124 0.3× 69 1.9k
Liang Song China 39 3.2k 3.7× 1000 1.2× 912 1.3× 170 0.4× 345 0.9× 96 4.0k
Chongwei Chi China 30 2.6k 3.0× 1.3k 1.5× 613 0.9× 130 0.3× 476 1.3× 68 3.8k

Countries citing papers authored by Huimao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Huimao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huimao Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Huimao Zhang. A scholar is included among the top collaborators of Huimao Zhang 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 Huimao Zhang. Huimao Zhang 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.
Zhang, Kun, Kan He, Shuangshuang Xie, et al.. (2025). Gadoxetic Acid–enhanced MRI Scoring Model to Predict Pathologic Features of Hepatocellular Carcinoma. Radiology. 314(2). e233229–e233229. 3 indexed citations
2.
Wang, Jing, Rui Guo, Huimao Zhang, et al.. (2025). [177Lu]Lu-XYIMSR-01: A Novel CAIX-Targeted Radiotherapeutic for Enhanced Treatment of Malignant Glioma. Bioconjugate Chemistry. 36(3). 588–596.
3.
Wang, Yaning, Jingfeng Zhang, Mingyang Li, et al.. (2024). SMART: Development and Application of a Multimodal Multi-organ Trauma Screening Model for Abdominal Injuries in Emergency Settings. Academic Radiology. 32(5). 2655–2666. 2 indexed citations
4.
Cheng, Jing, Naijia Liu, Yu Fu, et al.. (2024). A dynamic approach for MR T2-weighted pelvic imaging. Physics in Medicine and Biology. 69(20). 205019–205019.
5.
Wang, Hongchao, et al.. (2024). Visualizing the Habenula Using 3T High-Resolution MP2RAGE and QSM: A Preliminary Study. American Journal of Neuroradiology. 45(4). 504–510. 1 indexed citations
6.
Li, Xinxin, Meiling Zhang, Hua Zhang, Zhenxin Wang, & Huimao Zhang. (2023). Upconversion nanoparticle-based fluorescence resonance energy transfer sensing platform for the detection of cathepsin B activity in vitro and in vivo. Microchimica Acta. 190(5). 181–181. 8 indexed citations
7.
Pan, Xingchen, et al.. (2023). Recent Advances in Habenula Imaging Technology: A Comprehensive Review. Journal of Magnetic Resonance Imaging. 59(3). 737–746. 2 indexed citations
8.
Chen, Bowen, Hua Zhang, Hua Zhang, et al.. (2023). Photothermal induced chemo-immunological synergistic therapy for anaplastic thyroid carcinoma treatment. Materials & Design. 229. 111859–111859. 3 indexed citations
9.
Peng, Hao, Qian Wan, Xin Liu, et al.. (2022). Automatic segmentation of human supraclavicular adipose tissue using high-resolution T2-weighted magnetic resonance imaging. Magnetic Resonance Materials in Physics Biology and Medicine. 36(4). 641–649. 3 indexed citations
10.
Zhao, Hongguang, Yan Guo, Fanyang Meng, et al.. (2021). A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer. European Radiology. 31(8). 6030–6038. 36 indexed citations
11.
12.
Li, Mingbian, Huayang Li, Weijun Li, et al.. (2021). Oriented 2D Perovskite Wafers for Anisotropic X‐ray Detection through a Fast Tableting Strategy. Advanced Materials. 34(8). e2108020–e2108020. 87 indexed citations
13.
Fu, Yu, Kan He, Shuxu Guo, et al.. (2020). Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism. IEEE Access. 8. 64131–64138. 26 indexed citations
14.
Song, Jinmei, Xiaopeng Feng, Huayang Li, et al.. (2020). Facile Strategy for Facet Competition Management to Improve the Performance of Perovskite Single-Crystal X-ray Detectors. The Journal of Physical Chemistry Letters. 11(9). 3529–3535. 82 indexed citations
15.
16.
Yang, Huamin, et al.. (2017). A Study of Multilevel Banded Graph Cuts for Three-Dimensional Colon Tissue Segmentation. International Journal of Pattern Recognition and Artificial Intelligence. 31(9). 1755012–1755012. 1 indexed citations
17.
Zhong, Sheng, Bo Wu, Yang Liu, et al.. (2017). Identification of Driver Genes and Key Pathways of Pediatric Brain Tumors and Comparison of Molecular Pathogenesis Based on Pathologic Types. World Neurosurgery. 107. 990–1000. 5 indexed citations
18.
Zhong, Sheng, Yuxiang Fan, Qi Yan, et al.. (2017). The therapeutic effect of silymarin in the treatment of nonalcoholic fatty disease. Medicine. 96(49). e9061–e9061. 75 indexed citations
19.
Zhang, Huimao, et al.. (2015). Active Contours Driven by Multi-Feature Gaussian Distribution Fitting Energy with Application to Vessel Segmentation. PLoS ONE. 10(11). e0143105–e0143105. 25 indexed citations
20.
Liu, Guifeng, et al.. (2011). An initial study of tracking movement of normal patellar using volume scan on sensation 320 CT. Zhonghua fangshexian yixue zazhi. 45(1). 69–72. 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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