Tao Bian

1.6k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Tao Bian is a scholar working on Computational Theory and Mathematics, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Tao Bian has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 10 papers in Biomedical Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Tao Bian's work include Adaptive Dynamic Programming Control (22 papers), Mechanical Circulatory Support Devices (10 papers) and Frequency Control in Power Systems (8 papers). Tao Bian is often cited by papers focused on Adaptive Dynamic Programming Control (22 papers), Mechanical Circulatory Support Devices (10 papers) and Frequency Control in Power Systems (8 papers). Tao Bian collaborates with scholars based in United States and China. Tao Bian's co-authors include Zhong‐Ping Jiang, Yu Jiang, Yan Lei, Yan‐Wu Wang, Zhi‐Hong Guan, Bo Pang, Weinan Gao, Tianqi Hong, Francisco de León and Haitao Wu and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Tao Bian

26 papers receiving 1.2k citations

Hit Papers

Distributed Control of Nonlinear Multiagent Systems With ... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tao Bian United States 13 765 677 343 256 246 27 1.2k
Lili Cui China 12 941 1.2× 676 1.0× 434 1.3× 259 1.0× 130 0.5× 29 1.2k
Geyang Xiao China 17 895 1.2× 628 0.9× 469 1.4× 272 1.1× 271 1.1× 47 1.2k
Hongwen Ma China 14 589 0.8× 578 0.9× 269 0.8× 234 0.9× 281 1.1× 23 967
Huaguang Zhang China 7 940 1.2× 790 1.2× 492 1.4× 252 1.0× 255 1.0× 9 1.3k
Mingming Ha China 17 776 1.0× 581 0.9× 428 1.2× 257 1.0× 95 0.4× 38 1.1k
Yanhong Luo China 6 680 0.9× 470 0.7× 321 0.9× 192 0.8× 83 0.3× 7 824
Hongliang Li China 15 1.4k 1.8× 959 1.4× 656 1.9× 427 1.7× 169 0.7× 27 1.7k
Ali Heydari United States 18 632 0.8× 550 0.8× 259 0.8× 261 1.0× 90 0.4× 46 941
Jilie Zhang China 14 544 0.7× 529 0.8× 238 0.7× 159 0.6× 494 2.0× 33 998
Hanguang Su China 17 519 0.7× 616 0.9× 289 0.8× 252 1.0× 333 1.4× 55 1.1k

Countries citing papers authored by Tao Bian

Since Specialization
Citations

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

Fields of papers citing papers by Tao Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Bian. A scholar is included among the top collaborators of Tao Bian 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 Bian. Tao Bian 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.
Bian, Tao, et al.. (2025). MTSR-GAN: achieving 2.5 m resolution from 10 m Sentinel-2 images with a novel super-resolution GAN framework. International Journal of Remote Sensing. 46(14). 5303–5327.
2.
Bian, Tao, et al.. (2024). MRI Super-Resolution Analysis via MRISR: Deep Learning for Low-Field Imaging. Information. 15(10). 655–655. 3 indexed citations
3.
Pang, Bo, Tao Bian, & Zhong‐Ping Jiang. (2021). Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation. IEEE Transactions on Automatic Control. 67(1). 504–511. 53 indexed citations
4.
Bian, Tao & Zhong‐Ping Jiang. (2021). Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach. IEEE Transactions on Neural Networks and Learning Systems. 33(7). 2781–2790. 88 indexed citations
5.
Jiang, Zhong‐Ping, Tao Bian, & Weinan Gao. (2020). Learning-Based Control: A Tutorial and Some Recent Results. 8(3). 176–284. 75 indexed citations
6.
Bian, Tao & Zhong‐Ping Jiang. (2019). Continuous-Time Robust Dynamic Programming. SIAM Journal on Control and Optimization. 57(6). 4150–4174. 36 indexed citations
7.
Bian, Tao & Zhong‐Ping Jiang. (2019). Reinforcement learning for linear continuous-time systems: an incremental learning approach. IEEE/CAA Journal of Automatica Sinica. 6(2). 433–440. 22 indexed citations
8.
Wang, Yan‐Wu, Yan Lei, Tao Bian, & Zhi‐Hong Guan. (2019). Distributed Control of Nonlinear Multiagent Systems With Unknown and Nonidentical Control Directions via Event-Triggered Communication. IEEE Transactions on Cybernetics. 50(5). 1820–1832. 211 indexed citations breakdown →
9.
Pang, Bo, Tao Bian, & Zhong‐Ping Jiang. (2019). Adaptive dynamic programming for finite-horizon optimal control of linear time-varying discrete-time systems. Control Theory and Technology. 17(1). 73–84. 24 indexed citations
10.
Bian, Tao & Zhong‐Ping Jiang. (2018). Stochastic and adaptive optimal control of uncertain interconnected systems: A data-driven approach. Systems & Control Letters. 115. 48–54. 13 indexed citations
11.
Pang, Bo, Tao Bian, & Zhong‐Ping Jiang. (2018). Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems. 861–866. 16 indexed citations
12.
Bian, Tao & Zhong‐Ping Jiang. (2016). A Tool for the Global Stabilization of Stochastic Nonlinear Systems. IEEE Transactions on Automatic Control. 62(4). 1946–1951. 9 indexed citations
13.
Bian, Tao & Zhong‐Ping Jiang. (2016). New results in global stabilization for stochastic nonlinear systems. Control Theory and Technology. 14(1). 57–67. 3 indexed citations
14.
Bian, Tao, Yu Jiang, & Zhong‐Ping Jiang. (2016). Adaptive Dynamic Programming for Stochastic Systems With State and Control Dependent Noise. IEEE Transactions on Automatic Control. 61(12). 4170–4175. 66 indexed citations
15.
Hong, Tianqi, Tao Bian, & Francisco de León. (2016). Supplementary damping controller of grid connected dc micro-grids based on Q-learning. 24. 1–5. 4 indexed citations
16.
Bian, Tao & Zhong‐Ping Jiang. (2015). Value iteration and adaptive optimal control for linear continuous-time systems. 53–58. 2 indexed citations
17.
Lu, Pingli, et al.. (2015). Robust adaptive dynamic programming for a zero-sum differential game. 22. 2468–2473. 1 indexed citations
18.
Bian, Tao, Yu Jiang, & Zhong‐Ping Jiang. (2014). Adaptive dynamic programming and optimal control of nonlinear nonaffine systems. Automatica. 50(10). 2624–2632. 182 indexed citations
19.
Bian, Tao, Yu Jiang, & Zhong‐Ping Jiang. (2014). Adaptive dynamic programming for nonlinear nonaffine systems. 48. 3603–3608. 1 indexed citations
20.
Bian, Tao, Yu Jiang, & Zhong‐Ping Jiang. (2014). Decentralized Adaptive Optimal Control of Large-Scale Systems With Application to Power Systems. IEEE Transactions on Industrial Electronics. 62(4). 2439–2447. 118 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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