Beilei Wang

3.4k total citations
126 papers, 2.4k citations indexed

About

Beilei Wang is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Beilei Wang has authored 126 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Biomedical Engineering and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Beilei Wang's work include Optical Imaging and Spectroscopy Techniques (10 papers), Nanoparticle-Based Drug Delivery (9 papers) and Chronic Myeloid Leukemia Treatments (9 papers). Beilei Wang is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (10 papers), Nanoparticle-Based Drug Delivery (9 papers) and Chronic Myeloid Leukemia Treatments (9 papers). Beilei Wang collaborates with scholars based in China, United States and Hong Kong. Beilei Wang's co-authors include Guangyu Zhu, Jianwei Sun, Zhaobin Wang, Xian Chen, Hongli Wen, Feng Wang, Tak Fu Hung, Hai Zhu, S. F. Yu and Linqi Shi and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Beilei Wang

117 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beilei Wang China 26 706 561 536 441 292 126 2.4k
Shaofei Zhang China 28 308 0.4× 713 1.3× 568 1.1× 259 0.6× 220 0.8× 107 2.3k
Xuesong Li China 28 795 1.1× 375 0.7× 924 1.7× 231 0.5× 132 0.5× 145 2.5k
Hsin‐Hung Chen Taiwan 23 381 0.5× 220 0.4× 361 0.7× 626 1.4× 456 1.6× 83 2.0k
Yonghong Song China 33 319 0.5× 900 1.6× 726 1.4× 753 1.7× 477 1.6× 192 4.1k
Xianghui Zeng China 32 495 0.7× 372 0.7× 1.0k 1.9× 425 1.0× 310 1.1× 100 2.8k
Mingming Guo China 32 390 0.6× 874 1.6× 327 0.6× 476 1.1× 407 1.4× 172 3.0k
Akihiko Yoshida Japan 27 779 1.1× 317 0.6× 425 0.8× 320 0.7× 70 0.2× 177 2.7k
Ronghua Jin China 30 480 0.7× 849 1.5× 596 1.1× 791 1.8× 450 1.5× 112 2.7k
Yuan Liu China 31 495 0.7× 655 1.2× 1.3k 2.5× 550 1.2× 249 0.9× 126 3.2k
Mi‐Jeong Kim South Korea 29 601 0.9× 1.2k 2.1× 455 0.8× 402 0.9× 145 0.5× 107 2.7k

Countries citing papers authored by Beilei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Beilei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beilei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Beilei Wang. A scholar is included among the top collaborators of Beilei 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 Beilei Wang. Beilei 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, Beilei, Shuangchen Li, Jia Li, et al.. (2025). Deep system prior based graph convolution network for NIR-II fluorescence molecular tomography. Computer Methods and Programs in Biomedicine. 270. 108948–108948.
3.
Li, Yan, Chao Wu, Rui Jin, et al.. (2024). Hypocrellin A from an ethnic medicinal fungus protects against NLRP3-driven gout in mice by suppressing inflammasome activation. Acta Pharmacologica Sinica. 46(4). 1016–1029. 6 indexed citations
4.
Hua, Jing, Ming Shi, Yifang He, et al.. (2024). Self-Feedback DNAzyme Motor for Cascade-Amplified Imaging of mRNA in Live Cells and In Vivo. ACS Sensors. 9(3). 1280–1289. 13 indexed citations
5.
Guo, Hongbo, et al.. (2024). Dynamic fluorescence molecular tomography metabolic parameters solution based on problem decomposition and prior refactor. Journal of Biophotonics. 17(4). e202300445–e202300445. 1 indexed citations
6.
Guo, Hongbo, Yuqing Hou, Xiaowei He, et al.. (2024). GAICN: Graph Attention Iterative Contraction Network for Bioluminescence Tomography. IEEE Transactions on Medical Imaging. 44(4). 1659–1670. 1 indexed citations
7.
Li, Shuangchen, Beilei Wang, Jingjing Yu, et al.. (2024). FSMN-Net: a free space matching network based on manifold convolution for optical molecular tomography. Optics Letters. 49(5). 1161–1161. 3 indexed citations
8.
Wang, Junjie, Ziping Qi, Yun Wu, et al.. (2023). Discovery of IHMT-MST1-39 as a novel MST1 kinase inhibitor and AMPK activator for the treatment of diabetes mellitus. Signal Transduction and Targeted Therapy. 8(1). 143–143. 12 indexed citations
9.
Li, Shuangchen, Beilei Wang, Jingjing Yu, et al.. (2023). 3D-deep optical learning: a multimodal and multitask reconstruction framework for optical molecular tomography. Optics Express. 31(15). 23768–23768. 7 indexed citations
10.
Wang, Beilei, Shuangchen Li, Lizhi Zhang, et al.. (2023). A review of methods for solving the optical molecular tomography. Journal of Applied Physics. 133(13). 11 indexed citations
11.
Li, Jintao, Lizhi Zhang, Jia Liu, et al.. (2023). An adaptive parameter selection strategy based on maximizing the probability of data for robust fluorescence molecular tomography reconstruction. Journal of Biophotonics. 16(8). e202300031–e202300031. 2 indexed citations
12.
13.
Zhao, Yizhe, Shuangchen Li, Xuelei He, et al.. (2023). Liver injury monitoring using dynamic fluorescence molecular tomography based on a time-energy difference strategy. Biomedical Optics Express. 14(10). 5298–5298. 4 indexed citations
14.
Wang, Yuejie, Hongbo Guo, Beilei Wang, et al.. (2022). Accurate and fast reconstruction for bioluminescence tomography based on adaptive Newton hard thresholding pursuit algorithm. Journal of the Optical Society of America A. 39(5). 829–829. 7 indexed citations
15.
Wang, Beilei, et al.. (2022). Triglyceride to High-Density Lipoprotein Ratio can predict coronary artery calcification. Pakistan Journal of Medical Sciences. 38(3). 624–631. 6 indexed citations
16.
Guo, Hongbo, Xuelei He, Beilei Wang, et al.. (2022). A Graph-guided Hybrid Regularization Method For Bioluminescence Tomography. Computer Methods and Programs in Biomedicine. 230. 107329–107329. 5 indexed citations
17.
Liang, Huamin, Fengming Zou, Qingwang Liu, et al.. (2021). Nanocrystal-loaded liposome for targeted delivery of poorly water-soluble antitumor drugs with high drug loading and stability towards efficient cancer therapy. International Journal of Pharmaceutics. 599. 120418–120418. 34 indexed citations
18.
19.
Liu, Hongjuan, Zhiliang Zhu, Huiyan Jiang, & Beilei Wang. (2008). A Novel Image Encryption Algorithm Based on Improved 3D Chaotic Cat Map. 3016–3021. 44 indexed citations
20.
Chen, Xi, Yingli An, Yan Zhang, et al.. (2008). Formation and catalytic activity of spherical composites with surfaces coated with gold nanoparticles. Journal of Colloid and Interface Science. 322(2). 414–420. 67 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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