Han Wang

3.9k total citations
96 papers, 3.2k citations indexed

About

Han Wang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Polymers and Plastics. According to data from OpenAlex, Han Wang has authored 96 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Biomedical Engineering, 25 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Polymers and Plastics. Recurrent topics in Han Wang's work include Nanoplatforms for cancer theranostics (31 papers), Dendrimers and Hyperbranched Polymers (22 papers) and Nanoparticle-Based Drug Delivery (21 papers). Han Wang is often cited by papers focused on Nanoplatforms for cancer theranostics (31 papers), Dendrimers and Hyperbranched Polymers (22 papers) and Nanoparticle-Based Drug Delivery (21 papers). Han Wang collaborates with scholars based in China, Portugal and United States. Han Wang's co-authors include Xiangyang Shi, Mingwu Shen, Guixiang Zhang, Chen Peng, Rui Guo, Linfeng Zheng, Xueyan Cao, Jingwen Chen, Yu Fan and Qian Chen and has published in prestigious journals such as Advanced Materials, ACS Nano and PLoS ONE.

In The Last Decade

Han Wang

90 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Wang China 29 1.7k 1.3k 933 832 707 96 3.2k
Linfeng Zheng China 22 1.2k 0.7× 1.3k 1.0× 783 0.8× 715 0.9× 598 0.8× 49 2.7k
Chen Peng China 21 1.0k 0.6× 988 0.8× 762 0.8× 700 0.8× 738 1.0× 31 2.3k
Chen Peng China 34 1.9k 1.1× 1.1k 0.8× 1.1k 1.1× 575 0.7× 261 0.4× 67 2.8k
Wenwu Xiao China 32 1.5k 0.9× 1.6k 1.3× 1.0k 1.1× 1.4k 1.7× 305 0.4× 105 4.3k
Yong Hu China 33 1.8k 1.0× 1.3k 1.0× 952 1.0× 913 1.1× 200 0.3× 92 3.2k
Sixiang Shi United States 31 2.3k 1.4× 1.4k 1.1× 1.4k 1.5× 868 1.0× 145 0.2× 53 3.8k
Aaron M. Mohs United States 30 1.4k 0.8× 693 0.6× 1.8k 1.9× 1.0k 1.2× 148 0.2× 71 3.6k
Kaushal Rege United States 31 1.4k 0.8× 822 0.7× 697 0.7× 1.4k 1.7× 114 0.2× 117 3.4k
Shun Shen China 38 2.7k 1.6× 1.8k 1.4× 1.3k 1.4× 1.3k 1.6× 169 0.2× 76 4.3k
Hamed Arami United States 36 2.5k 1.5× 1.3k 1.0× 970 1.0× 1.3k 1.5× 105 0.1× 65 4.1k

Countries citing papers authored by Han Wang

Since Specialization
Citations

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

Fields of papers citing papers by Han Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Han Wang. A scholar is included among the top collaborators of Han Wang 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 Han Wang. Han Wang 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.
2.
Wang, Zhiqiang, Yunqi Guo, Gaoming Li, et al.. (2025). Dendrimer-Mediated Generation of a Metal-Phenolic Network for Antibody Delivery to Elicit Improved Tumor Chemo/Chemodynamic/Immune Therapy. ACS Applied Materials & Interfaces. 17(3). 4662–4674. 2 indexed citations
3.
Liu, Yuxuan, et al.. (2025). Pathological validation of 18F-AlF-NOTA-octreotide PET/CT for neuroblastoma. Scientific Reports. 15(1). 34802–34802.
4.
Wang, Han, Di Zuo, Fei Zheng, et al.. (2025). The value of 18F-AlF-NOTATATE PET/CT in restaging high-risk neuroblastoma after chemotherapy. Frontiers in Medicine. 12. 1596272–1596272.
5.
Wang, Han, Chao Chen, Shuai Zhang, et al.. (2024). Damage classification and evolution in composite under low-velocity impact using acoustic emission, machine learning and wavelet packet decomposition. Engineering Fracture Mechanics. 306. 110238–110238. 22 indexed citations
6.
Zhang, Bin, Rui Yang, Haoyu Huang, et al.. (2024). Macrophage membrane-camouflaged nanoclusters of ultrasmall iron oxide nanoparticles for precision glioma theranostics. Biomaterials Science. 12(10). 2705–2716. 9 indexed citations
7.
Mekuria, Shewaye Lakew, Gaoming Li, Zhiqiang Wang, et al.. (2024). Dendrimer nanoclusters loaded with gold nanoparticles for enhanced tumor CT imaging and chemotherapy via an amplified EPR effect. Journal of Materials Chemistry B. 12(38). 9524–9532. 7 indexed citations
8.
Wang, Han, Qing Yang, Binlin Zhang, & Dexin Gao. (2024). Deep learning based insulator fault detection algorithm for power transmission lines. Journal of Real-Time Image Processing. 21(4). 14 indexed citations
9.
10.
Zhai, Cong, et al.. (2022). Addressing the imaging limitations of a microsphere-assisted nanoscope. Optics Express. 30(22). 39417–39417. 4 indexed citations
11.
Xie, Ni, Jingwen Chen, Rong Cao, et al.. (2022). Multiparametric MRI and Machine Learning Based Radiomic Models for Preoperative Prediction of Multiple Biological Characteristics in Prostate Cancer. Frontiers in Oncology. 12. 839621–839621. 27 indexed citations
12.
Liang, Kaicheng, Zhicong Li, Yu Luo, et al.. (2020). Intelligent Nanocomposites with Intrinsic Blood–Brain‐Barrier Crossing Ability Designed for Highly Specific MR Imaging and Sonodynamic Therapy of Glioblastoma. Small. 16(8). e1906985–e1906985. 90 indexed citations
13.
Zhu, Jianzhi, Zhicong Li, Changchang Zhang, et al.. (2019). Single enzyme loaded nanoparticles for combinational ultrasound-guided focused ultrasound ablation and hypoxia-relieved chemotherapy. Theranostics. 9(26). 8048–8060. 24 indexed citations
14.
Macharia, Daniel K., Liang Chen, Nuo Yu, et al.. (2017). PEGylated (NH4)xWO3 nanorods as efficient and stable multifunctional nanoagents for simultaneous CT imaging and photothermal therapy of tumor. Journal of Photochemistry and Photobiology B Biology. 174. 10–17. 10 indexed citations
15.
Zong, Hong, et al.. (2016). Dendrimer antibody conjugate to target and image HER-2 overexpressing cancer cells. Oncotarget. 7(24). 36002–36013. 35 indexed citations
16.
Xiao, Tingting, Shihui Wen, Han Wang, et al.. (2013). Facile synthesis of acetylated dendrimer-entrapped gold nanoparticles with enhanced gold loading for CT imaging applications. Journal of Materials Chemistry B. 1(21). 2773–2773. 27 indexed citations
17.
Wang, Han, Feng Zhang, Yanfeng Meng, et al.. (2013). MRI-Monitored Intra-Shunt Local Agent Delivery of Motexafin Gadolinium: Towards Improving Long-Term Patency of TIPS. PLoS ONE. 8(2). e57419–e57419. 2 indexed citations
18.
Wang, Han, Linfeng Zheng, Chen Peng, et al.. (2012). Folic acid-modified dendrimer-entrapped gold nanoparticles as nanoprobes for targeted CT imaging of human lung adencarcinoma. Biomaterials. 34(2). 470–480. 165 indexed citations
19.
Kotopoulis, Spiros, Han Wang, S. Cochran, & Michiel Postema. (2011). Lithium niobate transducers for MRI-guided ultrasonic microsurgery. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 58(8). 1570–1576. 10 indexed citations
20.
An, Xiao, et al.. (2010). Treatment of intravenous leiomyoma with transcatheter arterial embolization. International Journal of Gynecology & Obstetrics. 110(1). 71–73. 2 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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