Xiaosong Wang

8.8k total citations · 6 hit papers
103 papers, 4.5k citations indexed

About

Xiaosong Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Xiaosong Wang has authored 103 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 18 papers in Molecular Biology. Recurrent topics in Xiaosong Wang's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Hearing Loss and Rehabilitation (12 papers) and AI in cancer detection (11 papers). Xiaosong Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Hearing Loss and Rehabilitation (12 papers) and AI in cancer detection (11 papers). Xiaosong Wang collaborates with scholars based in China, United States and United Kingdom. Xiaosong Wang's co-authors include Robert V. Shannon, Lendra Friesen, Deniz Başkent, Qian‐Jie Fu, Ronald M. Summers, Daguang Xu, Le Lü, Ziyue Xu, Ke Yan and Karen Drukker and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Analytical Biochemistry.

In The Last Decade

Xiaosong Wang

97 papers receiving 4.4k citations

Hit Papers

Speech recognition in noise as a function of the number o... 2001 2026 2009 2017 2001 2018 2020 2018 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaosong Wang China 29 1.4k 1.1k 886 780 687 103 4.5k
Metin Akay United States 38 1.2k 0.9× 259 0.2× 352 0.4× 404 0.5× 560 0.8× 220 5.4k
Dimitris Samaras United States 40 816 0.6× 418 0.4× 878 1.0× 215 0.3× 222 0.3× 149 5.0k
Paul Sajda United States 39 3.8k 2.8× 598 0.6× 550 0.6× 382 0.5× 655 1.0× 177 6.0k
Aiping Liu China 41 1.8k 1.3× 246 0.2× 314 0.4× 358 0.5× 526 0.8× 256 4.9k
Martti Juhola Finland 28 368 0.3× 67 0.1× 626 0.7× 622 0.8× 228 0.3× 222 3.6k
Jochen Klucken Germany 46 366 0.3× 96 0.1× 200 0.2× 2.9k 3.8× 112 0.2× 173 10.2k
Yingchun Zhang China 37 2.1k 1.5× 719 0.7× 367 0.4× 206 0.3× 276 0.4× 350 4.8k
Wanqing Wu China 35 362 0.3× 432 0.4× 734 0.8× 262 0.3× 156 0.2× 164 3.8k
David M. Cash United Kingdom 36 719 0.5× 1.0k 1.0× 1.3k 1.5× 334 0.4× 41 0.1× 143 5.1k
Taketoshi Mori Japan 32 234 0.2× 290 0.3× 254 0.3× 529 0.7× 110 0.2× 364 4.4k

Countries citing papers authored by Xiaosong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosong Wang. A scholar is included among the top collaborators of Xiaosong 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 Xiaosong Wang. Xiaosong 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
2.
3.
Wang, Xuan, et al.. (2024). Dual-Perspective Label Smoothing for Accurate Tumor Segmentation. 1–5. 1 indexed citations
4.
Zhao, Zhiming, et al.. (2024). Enhancing E-commerce Recommendations: Unveiling Insights from Customer Reviews with BERTFusionDNN. 4(2). 38–44. 7 indexed citations
5.
Wang, Xiaosong, Yongyi Lu, Yuyin Zhou, et al.. (2024). Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. 1–5. 3 indexed citations
6.
Zhang, Shuning, Yanbo Pei, Xiaosong Wang, & Gang Liu. (2024). In-situ EBSD observation of texture evolution and lattice rotation behavior in shear deformation of thin-walled aluminum alloy tubes. Journal of Materials Research and Technology. 29. 449–460. 11 indexed citations
7.
Huang, Lin, et al.. (2024). A 275 μ W 81.5 dB-SNDR and 200 kS/s CT IDSM With an AC-OSA-Based Integrator Using CNRS and FIR DACs. IEEE Transactions on Circuits & Systems II Express Briefs. 72(1). 23–27. 1 indexed citations
8.
Wang, Xiaosong, Qian Da, Xiaoqiang Liu, et al.. (2023). A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. Scientific Data. 10(1). 574–574. 30 indexed citations
9.
Wang, Xing, Liying Qin, Yan Liu, et al.. (2023). Ursolic acid attenuates cholestasis through NRF2-mediated regulation of UGT2B7 and BSEP/MRP2. Naunyn-Schmiedeberg s Archives of Pharmacology. 397(4). 2257–2267. 12 indexed citations
10.
Wang, Xiaosong, Xiaoyu Zhang, Linlin Wang, et al.. (2023). High ambient temperature increases the number of emergency visits for upper urolithiasis in Hefei City, China. Heliyon. 9(1). e12856–e12856. 5 indexed citations
11.
Hanberg, Jennifer S., Xiaoqing Fu, Xiaosong Wang, et al.. (2023). Effectiveness of a fourth dose of COVID-19 mRNA vaccine in patients with systemic autoimmune rheumatic diseases using disease-modifying antirheumatic drugs: an emulated target trial. The Lancet Rheumatology. 6(1). e21–e30. 7 indexed citations
12.
Yu, Xiaojun, Shanxi Wang, Ying-Guang Wang, et al.. (2022). IGF2BP2 Induces U251 Glioblastoma Cell Chemoresistance by Inhibiting FOXO1-Mediated PID1 Expression Through Stabilizing lncRNA DANCR. Frontiers in Cell and Developmental Biology. 9. 659228–659228. 24 indexed citations
13.
Wang, Xiaosong, Lei Xing, Rui Yang, et al.. (2021). The circACTN4 interacts with FUBP1 to promote tumorigenesis and progression of breast cancer by regulating the expression of proto-oncogene MYC. Molecular Cancer. 20(1). 91–91. 77 indexed citations
14.
Yang, Dong, Ziyue Xu, Wenqi Li, et al.. (2021). Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Analysis. 70. 101992–101992. 176 indexed citations breakdown →
15.
Wang, Xiaosong, et al.. (2021). Infrared Image Brightness Correction for TIR Object Tracking. 2021 7th International Conference on Computer and Communications (ICCC). 704–708. 1 indexed citations
16.
Zhang, Ling, Xiaosong Wang, Dong Yang, et al.. (2020). Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Transactions on Medical Imaging. 39(7). 2531–2540. 288 indexed citations breakdown →
17.
Zhang, Fan, Zhonghai Li, Ying Zhang, Zhiqiang Huang, & Xiaosong Wang. (2014). Determination of six phthalate acid esters in camellia oil by gas chromatography-mass spectrometry coupled with solid-phase extraction using single-walled carbon nanotubes as adsorbent. Chinese Journal of Chromatography. 32(7). 735–735. 1 indexed citations
18.
Wang, Xiaosong, et al.. (2012). Development and validation of the Mandarin disyllable recognition test. Acta Oto-Laryngologica. 132(8). 855–861. 14 indexed citations
19.
Wang, Xiaosong. (2011). Development of dam-break flood. 1 indexed citations
20.
Wang, Xiaosong, et al.. (2010). Study surveys on tree image extraction in a complex background. Beijing Linye Daxue xuebao. 32(3). 197–203. 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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