Tao Song

4.2k total citations · 2 hit papers
122 papers, 2.5k citations indexed

About

Tao Song is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Tao Song has authored 122 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 29 papers in Electrical and Electronic Engineering and 24 papers in Computer Networks and Communications. Recurrent topics in Tao Song's work include Advanced Neural Network Applications (9 papers), Medical Image Segmentation Techniques (9 papers) and Privacy-Preserving Technologies in Data (8 papers). Tao Song is often cited by papers focused on Advanced Neural Network Applications (9 papers), Medical Image Segmentation Techniques (9 papers) and Privacy-Preserving Technologies in Data (8 papers). Tao Song collaborates with scholars based in China, United States and United Kingdom. Tao Song's co-authors include Jieneng Chen, Xiangde Luo, Guotai Wang, Haibing Guan, Ruhui Ma, Hua Yang, Zhengui Xue, Roland R. Lee, Mingxiong Huang and Charles Gasparovic and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Tao Song

111 papers receiving 2.4k citations

Hit Papers

Semi-supervised Medical Image Segmentation through Dual-t... 2021 2026 2022 2024 2021 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tao Song China 23 575 562 541 472 308 122 2.5k
Wanqing Wu China 35 432 0.8× 794 1.4× 734 1.4× 362 0.8× 566 1.8× 164 3.8k
Tomás Ward Ireland 34 752 1.3× 489 0.9× 395 0.7× 1.8k 3.8× 349 1.1× 225 4.5k
Chiew Tong Lau Singapore 25 126 0.2× 479 0.9× 463 0.9× 408 0.9× 678 2.2× 119 2.7k
Dimitrios I. Fotiadis Greece 32 560 1.0× 325 0.6× 747 1.4× 685 1.5× 55 0.2× 269 4.2k
Yi Shan China 20 232 0.4× 688 1.2× 298 0.6× 149 0.3× 264 0.9× 89 1.7k
Metin Akay United States 38 259 0.5× 511 0.9× 352 0.7× 1.2k 2.5× 123 0.4× 220 5.4k
Afshin Shoeibi Iran 29 662 1.2× 562 1.0× 836 1.5× 1.0k 2.2× 82 0.3× 60 2.9k
Malek Adjouadi United States 31 407 0.7× 665 1.2× 399 0.7× 1.2k 2.5× 54 0.2× 263 3.0k
Sílvia D. Olabarriaga Netherlands 26 400 0.7× 333 0.6× 249 0.5× 324 0.7× 294 1.0× 104 2.2k
Tae‐Seong Kim South Korea 20 324 0.6× 648 1.2× 377 0.7× 404 0.9× 101 0.3× 65 2.0k

Countries citing papers authored by Tao Song

Since Specialization
Citations

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

Fields of papers citing papers by Tao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Song

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Song. A scholar is included among the top collaborators of Tao Song 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 Tao Song. Tao Song 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.
Feng, C.R., Yu Tang, Meng Xiao, et al.. (2025). Local chemical ordering enhances simultaneously strength and ductility of Ti-V-Zr-Nb-Al lightweight multi-component alloys. Journal of Materials Research and Technology. 36. 9289–9297.
2.
Qi, Feng, Chengwen Wang, Chengwen Wang, et al.. (2025). Mechanism of rigid functional groups on the temperature resistance of fluid loss additives for well cementing. Reactive and Functional Polymers. 214. 106314–106314. 3 indexed citations
3.
Yang, Jiaqiang, Tao Song, Lei Jin, et al.. (2025). In-operando visualization of the dynamic microvia copper filling process for metal interconnection of integrated circuit. Electrochimica Acta. 535. 146698–146698.
4.
5.
Song, Tao, et al.. (2025). Improved latent diffusion model for data augmentation in flat tube defect detection. Journal of Intelligent Manufacturing.
6.
Song, Tao, et al.. (2024). Adaptive disturbance observer-based fast nonsingular terminal sliding mode control for quadrotors. Journal of the Franklin Institute. 361(14). 107092–107092. 5 indexed citations
7.
Zhao, Yi, Lei Jin, Jiaqiang Yang, et al.. (2024). 1-Dodecyl-2-methyl-3-benzylimidazolium chloride as a novel leveler: Towards simultaneously both the microvia void-free filling and through hole conformal thickening. Colloids and Surfaces A Physicochemical and Engineering Aspects. 695. 134239–134239. 5 indexed citations
8.
Song, Tao, et al.. (2024). A two-stage defect detection method for unevenly illuminated self-adhesive printed materials. Scientific Reports. 14(1). 20547–20547. 1 indexed citations
9.
Du, Bingsheng, Jie Zhong, Le Chen, et al.. (2024). Advances in Gas Detection of Pattern Recognition Algorithms for Chemiresistive Gas Sensor. Materials. 17(21). 5190–5190. 2 indexed citations
10.
Song, Tao, Wenxing Zhu, Shibin Su, & Wenwen Wang. (2023). Distributed “End-Edge-Cloud” structural car-following control system for intelligent connected vehicle using sliding mode strategy. Communications in Nonlinear Science and Numerical Simulation. 126. 107468–107468. 9 indexed citations
11.
Zhang, Jianqing, Hua Yang, Hao Wang, et al.. (2023). FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. arXiv (Cornell University). 3249–3261. 39 indexed citations
12.
Zhang, Rui, et al.. (2023). MCAS-GP: Deep Learning-Empowered Middle Cerebral Artery Segmentation and Gate Proposition. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(4). 924–935.
13.
Huang, Mingxiong, Deborah L. Harrington, Charles Huang, et al.. (2023). EMG-projected MEG high-resolution source imaging of human motor execution: Brain-muscle coupling above movement frequencies. Imaging Neuroscience. 2. 1–20. 1 indexed citations
14.
Ma, Ruhui, Hua Yang, Hao Wang, et al.. (2022). WH 2 D 2 N 2 : Distributed AI-enabled OK-ASN Service for Web of Things. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(5). 1–16. 1 indexed citations
15.
Huang, Yechong, et al.. (2019). Mutual information neural estimation in CNN-based end-to-end medical image registration.. arXiv (Cornell University). 1 indexed citations
16.
Song, Tao, et al.. (2018). Fault diagnosis for rotating machineries under variable operation conditions based on SVDI. 37(19). 211–216. 1 indexed citations
17.
Song, Tao, et al.. (2018). Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. IEEE Transactions on Big Data. 8(3). 644–657. 18 indexed citations
18.
Song, Tao, et al.. (2014). A comparison study of algorithms for surface normal determination based on point cloud data. Precision Engineering. 39. 47–55. 23 indexed citations
19.
Guo, Li, et al.. (2013). Dynamic channel allocation supporting multi-service over cognitive radio networks. Wireless Personal Multimedia Communications. 1–5. 1 indexed citations
20.
Song, Tao. (1999). ANALYSIS AND CALCULATION OF DIPOLE MOMENT OF AMS MAGNET. Advanced Technology of Electrical Engineering and Energy. 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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