Maosen Wang

750 total citations
31 papers, 481 citations indexed

About

Maosen Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Maosen Wang has authored 31 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cognitive Neuroscience. Recurrent topics in Maosen Wang's work include Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Maosen Wang is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Maosen Wang collaborates with scholars based in China, United States and Germany. Maosen Wang's co-authors include Yi He, Xin Yu, Terrence J. Sejnowski, Xuan Yang, Shaozhang Niu, Hellmut Merkle, Afonso C. Silva, Stephen Dodd, Alan P. Koretsky and Klaus Scheffler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Methods.

In The Last Decade

Maosen Wang

29 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maosen Wang China 11 193 133 99 91 35 31 481
Niall McLoughlin United Kingdom 14 361 1.9× 154 1.2× 95 1.0× 69 0.8× 23 0.7× 21 528
Anupam Garg United States 13 133 0.7× 121 0.9× 80 0.8× 113 1.2× 47 1.3× 30 604
Shengpei Wang China 14 274 1.4× 225 1.7× 67 0.7× 98 1.1× 42 1.2× 41 604
Haiguang Wen United States 12 702 3.6× 127 1.0× 87 0.9× 125 1.4× 18 0.5× 20 881
Zafer İşcan Türkiye 10 372 1.9× 79 0.6× 93 0.9× 118 1.3× 36 1.0× 19 569
Michael Stauffer Switzerland 6 137 0.7× 212 1.6× 38 0.4× 101 1.1× 26 0.7× 15 484
Radu Ranta France 13 380 2.0× 35 0.3× 88 0.9× 40 0.4× 38 1.1× 49 584
Gholam‐Ali Hossein‐Zadeh Iran 17 626 3.2× 179 1.3× 46 0.5× 59 0.6× 25 0.7× 89 812

Countries citing papers authored by Maosen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Maosen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maosen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Maosen Wang. A scholar is included among the top collaborators of Maosen 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 Maosen Wang. Maosen 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.
Xu, Shuqin, et al.. (2025). Stimuli-responsive hydrogels composed of modified cellulose nanocrystal and gelatin with oriented channels for guiding axonal myelination. Carbohydrate Polymers. 356. 123402–123402. 4 indexed citations
2.
Wang, Shuai, Maosen Wang, Zhibin Zheng, et al.. (2025). Relationship between microstructural evolution and wear behaviour of in-situ Fe3W3C particles reinforced iron matrix composites. Materials Chemistry and Physics. 347. 131461–131461. 1 indexed citations
3.
Kingsmore, Kathryn M., et al.. (2025). Interstitial fluid transport dynamics predict glioblastoma invasion and progression. PubMed. 2(1). 30–30.
4.
Niu, Shaozhang, et al.. (2024). UGEE-Net: Uncertainty-guided and edge-enhanced network for image splicing localization. Neural Networks. 178. 106430–106430. 4 indexed citations
5.
Kingsmore, Kathryn M., et al.. (2024). A novel methodology for mapping interstitial fluid dynamics in murine brain tumors using DCE-MRI. Methods. 231. 78–93. 1 indexed citations
6.
Gu, Feng, et al.. (2024). EMF-Net: An edge-guided multi-feature fusion network for text manipulation detection. Expert Systems with Applications. 249. 123548–123548. 4 indexed citations
7.
Wang, Kai, et al.. (2024). EC-Net: General image tampering localization network based on edge distribution guidance and contrastive learning. Knowledge-Based Systems. 293. 111656–111656. 4 indexed citations
8.
Gutova, Margarita, et al.. (2024). Model discovery approach enables noninvasive measurement of intra-tumoral fluid transport in dynamic MRI. APL Bioengineering. 8(2). 26106–26106. 1 indexed citations
9.
10.
Wang, Maosen, Jennifer M. Munson, Kristin M. Myers, et al.. (2024). Pregnancy-induced remodeling of the murine reproductive tract: a longitudinal in vivo magnetic resonance imaging study. Scientific Reports. 14(1). 586–586. 6 indexed citations
11.
Zhang, Xudong, et al.. (2023). Clinical implications of RAB13 expression in pan-cancer based on multi-databases integrative analysis. Scientific Reports. 13(1). 16859–16859. 3 indexed citations
12.
Tang, Xiaoli, et al.. (2023). Nanoarchitectonics of cellulose nanocrystal conjugated with a tetrasaccharide-glycoprobe for targeting oligodendrocyte precursor cells. Carbohydrate Polymers. 317. 121086–121086. 3 indexed citations
13.
Wang, Maosen, et al.. (2023). MFI-Net: Multi-Feature Fusion Identification Networks for Artificial Intelligence Manipulation. IEEE Transactions on Circuits and Systems for Video Technology. 34(2). 1266–1280. 13 indexed citations
14.
Ahmed, S. Ansar, Jing Ju, Ashwin Ramesh, et al.. (2021). Early Influences of Microbiota on White Matter Development in Germ-Free Piglets. Frontiers in Cellular Neuroscience. 15. 807170–807170. 17 indexed citations
15.
Niu, Shaozhang, et al.. (2020). A Modified Method for Scene Text Detection by ResNet. Computers, materials & continua/Computers, materials & continua (Print). 65(3). 2233–2245. 4 indexed citations
16.
Wang, Maosen, Yi He, Terrence J. Sejnowski, & Xin Yu. (2018). Brain-state dependent astrocytic Ca 2+ signals are coupled to both positive and negative BOLD-fMRI signals. Proceedings of the National Academy of Sciences. 115(7). E1647–E1656. 73 indexed citations
17.
Xia, Yang, Keith M. Kendrick, Xiuxiu Liu, et al.. (2016). Mozart, Mozart Rhythm and Retrograde Mozart Effects: Evidences from Behaviours and Neurobiology Bases. Scientific Reports. 6(1). 18744–18744. 52 indexed citations
18.
Yu, Xin, Yi He, Maosen Wang, et al.. (2016). Sensory and optogenetically driven single-vessel fMRI. Nature Methods. 13(4). 337–340. 82 indexed citations
19.
Zhu, Wei, Maosen Wang, & Chunde Yang. (2014). Leader-following consensus of fractional-order multi-agent systems with general linear models. 3493–3496. 7 indexed citations
20.
Wang, Maosen, et al.. (2005). Robot Navigation Using Biosonar for Natural Landmark Tracking. 4196. 3–7. 6 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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