Tao Sun

2.4k total citations · 1 hit paper
81 papers, 1.3k citations indexed

About

Tao Sun is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tao Sun has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Mechanics, 26 papers in Artificial Intelligence and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tao Sun's work include Sparse and Compressive Sensing Techniques (35 papers), Stochastic Gradient Optimization Techniques (16 papers) and Numerical methods in inverse problems (11 papers). Tao Sun is often cited by papers focused on Sparse and Compressive Sensing Techniques (35 papers), Stochastic Gradient Optimization Techniques (16 papers) and Numerical methods in inverse problems (11 papers). Tao Sun collaborates with scholars based in China, United States and Spain. Tao Sun's co-authors include Dongsheng Li, Bao Wang, Gang Fu, Changjun Liu, Zhou Rong, Qijian Zhang, Lizhi Cheng, Xudong Yang, Xing Rong and Hao Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Tao Sun

77 papers receiving 1.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Decentralized Federated Averaging

2022 168 citations Tao Sun, Dongsheng Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tao Sun China	15	467	241	208	200	174	81	1.3k
Adil Bagirov Australia	28	875 1.9×	423 1.8×	468 2.3×	58 0.3×	105 0.6×	134	2.5k
Qinghua Zhang China	28	908 1.9×	96 0.4×	285 1.4×	41 0.2×	82 0.5×	151	2.4k
Deepak Gupta India	27	951 2.0×	74 0.3×	651 3.1×	83 0.4×	56 0.3×	103	2.0k
Wojciech Pieczynski France	23	1.0k 2.2×	53 0.2×	725 3.5×	519 2.6×	130 0.7×	135	2.0k
Xiaowei Gu United Kingdom	27	930 2.0×	26 0.1×	290 1.4×	147 0.7×	66 0.4×	94	1.8k
Derek T. Anderson United States	22	861 1.8×	30 0.1×	747 3.6×	226 1.1×	252 1.4×	170	2.0k
Huan Xu Singapore	17	410 0.9×	141 0.6×	315 1.5×	101 0.5×	98 0.6×	35	1.0k
Gloria Bordogna Italy	22	765 1.6×	32 0.1×	127 0.6×	63 0.3×	79 0.5×	136	2.3k
Xudong Sun China	16	359 0.8×	142 0.6×	618 3.0×	216 1.1×	14 0.1×	63	1.7k
Bingyi Kang China	24	813 1.7×	28 0.1×	320 1.5×	63 0.3×	316 1.8×	92	2.2k

Countries citing papers authored by Tao Sun

Since Specialization

Citations

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

Fields of papers citing papers by Tao Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Sun. A scholar is included among the top collaborators of Tao Sun 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 Sun. Tao Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zuo, Hui, et al.. (2025). Transformer-based Multi-resolution Fast 3D Reconstruction for Structural Damage Detection. Proceedings of the ... ISARC.

Ye, Zhen, et al.. (2024). Cross-Domain Few-Shot Learning Based on Graph Convolution Contrast for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 17 indexed citations

Wang, Wenshuo, et al.. (2024). A dual‐decoder banded convolutional attention network for bone segmentation in ultrasound images. Medical Physics. 52(3). 1556–1572. 1 indexed citations

Li, Jianqiang, et al.. (2023). Multitask-Based Evolutionary Optimization for Vehicle Routing Problems in Autonomous Transportation. IEEE Transactions on Automation Science and Engineering. 21(3). 2400–2411. 7 indexed citations

Li, Jianqiang, Tao Sun, Qiuzhen Lin, Min Jiang, & Kay Chen Tan. (2022). Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 26(5). 1102–1116. 44 indexed citations

Sun, Tao, et al.. (2022). Adaptive and Implicit Regularization for Matrix Completion. SIAM Journal on Imaging Sciences. 15(4). 2000–2022. 2 indexed citations

Sun, Tao & Dongsheng Li. (2022). General nonconvex total variation and low-rank regularizations: Model, algorithm and applications. Pattern Recognition. 130. 108692–108692. 7 indexed citations

Sun, Tao & Dongsheng Li. (2022). Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization. Neural Networks. 149. 195–203. 12 indexed citations

Song, Yimin, et al.. (2022). Accurate and robust registration method for computer-assisted high tibial osteotomy surgery. International Journal of Computer Assisted Radiology and Surgery. 18(2). 329–337. 4 indexed citations

10.

Ye, Zhen, et al.. (2021). Graph-Based Dimensionality Reduction for Hyperspectral Imagery: A Review. Journal of Beijing Institute of Technology. 30(2). 91–112. 2 indexed citations

11.

Sun, Tao, et al.. (2021). An Adaptive Learning Rate Schedule for SIGNSGD Optimizer in Neural Networks. Neural Processing Letters. 54(2). 803–816. 5 indexed citations

12.

Guan, Lei, et al.. (2018). An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. 1209–1216. 13 indexed citations

13.

Sun, Tao, et al.. (2017). Asynchronous Coordinate Descent under More Realistic Assumptions. Neural Information Processing Systems. 30. 6182–6190. 9 indexed citations

14.

Sun, Tao, et al.. (2017). Precompact convergence of the nonconvex Primal–Dual Hybrid Gradient algorithm. Journal of Computational and Applied Mathematics. 330. 15–27. 5 indexed citations

15.

Sun, Tao, et al.. (2017). Attribute Reduction Algorithm Based on Structure Discernibility Matrix in Composite Information Systems. SHILAP Revista de lepidopterología. 11. 1016–1016. 1 indexed citations

16.

Sun, Tao, et al.. (2015). Projective iterative hard thresholding algorithm for sparse signal recovery. 244–247. 1 indexed citations

17.

Song, Shengyuan, et al.. (2014). Extenics Evaluation of Engineering Geological Zoning of Foundation Soil in Tianjin Binhai New Area. Journal of Northeastern University. 35(10). 1502. 1 indexed citations

18.

Lei, Kai, et al.. (2009). Self-organized hierarchical k-means file clustering algorithm based on P2P sharing directories and its application. 402–405. 1 indexed citations

19.

Sun, Tao, et al.. (2007). Parametric bootstrap confidence intervals for linear regression processes with long-memory errors. 69(4). 615–634. 2 indexed citations

20.

Chen, Di‐Rong & Tao Sun. (2006). Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss. Journal of Machine Learning Research. 7(86). 2435–2447. 5 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.

Explore authors with similar magnitude of impact