Sanbo Ding

2.1k total citations
67 papers, 1.7k citations indexed

About

Sanbo Ding is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sanbo Ding has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 31 papers in Control and Systems Engineering and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Sanbo Ding's work include Neural Networks Stability and Synchronization (39 papers), Advanced Memory and Neural Computing (22 papers) and Stability and Control of Uncertain Systems (20 papers). Sanbo Ding is often cited by papers focused on Neural Networks Stability and Synchronization (39 papers), Advanced Memory and Neural Computing (22 papers) and Stability and Control of Uncertain Systems (20 papers). Sanbo Ding collaborates with scholars based in China, Germany and New Zealand. Sanbo Ding's co-authors include Zhanshan Wang, Huaguang Zhang, Xiangpeng Xie, Nannan Rong, Huaguang Zhang, Yanming Wu, Qihe Shan, Yajuan Liu, Yanhui Jing and Jidong Wang and has published in prestigious journals such as Automatica, Materials Science and Engineering A and Expert Systems with Applications.

In The Last Decade

Sanbo Ding

63 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanbo Ding China 24 1.3k 654 621 506 274 67 1.7k
Jiahui Wang China 18 464 0.4× 399 0.6× 1.4k 2.2× 129 0.3× 332 1.2× 32 1.8k
Zhichen Li China 21 693 0.5× 354 0.5× 891 1.4× 75 0.1× 165 0.6× 71 1.4k
Faqiang Wang China 22 431 0.3× 844 1.3× 319 0.5× 735 1.5× 101 0.4× 80 1.6k
Dandan Zhang China 10 565 0.4× 188 0.3× 209 0.3× 104 0.2× 166 0.6× 17 789
Manman Yuan China 17 433 0.3× 363 0.6× 73 0.1× 231 0.5× 174 0.6× 51 823
D.C. Hamill United Kingdom 20 460 0.3× 1.4k 2.1× 527 0.8× 707 1.4× 92 0.3× 46 2.0k
Seung-Hoon Lee South Korea 20 702 0.5× 438 0.7× 364 0.6× 157 0.3× 148 0.5× 95 1.3k
Zhengzhi Han China 18 482 0.4× 112 0.2× 609 1.0× 443 0.9× 56 0.2× 70 1.2k
Shun‐Yan Ren China 26 1.8k 1.3× 596 0.9× 382 0.6× 684 1.4× 537 2.0× 77 1.9k
P. Selvaraj India 23 677 0.5× 161 0.2× 797 1.3× 218 0.4× 143 0.5× 50 1.3k

Countries citing papers authored by Sanbo Ding

Since Specialization
Citations

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

Fields of papers citing papers by Sanbo Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanbo Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Sanbo Ding. A scholar is included among the top collaborators of Sanbo Ding 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 Sanbo Ding. Sanbo Ding 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.
Ding, Sanbo, et al.. (2025). Set-membership estimation for T–S fuzzy complex networks: a dynamic coding-decoding mechanism. Nonlinear Dynamics. 113(13). 17041–17056.
2.
Rong, Nannan, Yang Yu, Sanbo Ding, & Limei Song. (2025). Event-based model predictive control of fuzzy cloud control system under DoS attacks. Nonlinear Dynamics. 113(20). 27841–27852.
3.
4.
Ding, Sanbo, et al.. (2024). Input-to-state Practical Stability of Event-triggered Estimators for Discrete-time Recurrent Neural Networks With Unknown Time-delay. International Journal of Control Automation and Systems. 22(2). 593–602. 1 indexed citations
5.
Zhao, Yuanhao, et al.. (2024). A new insight on the event‐triggered state feedback control for Markov jump systems. International Journal of Robust and Nonlinear Control. 34(18). 12375–12388. 2 indexed citations
6.
Rong, Nannan, Yanhui Jing, Sanbo Ding, & Xiangpeng Xie. (2023). Event-triggered synchronization for discrete-time delayed neural networks via aperiodic detection. Expert Systems with Applications. 244. 123048–123048. 5 indexed citations
7.
Ding, Sanbo, et al.. (2023). Aperiodic intermittent event-triggered synchronization control for discrete-time complex dynamical networks. Expert Systems with Applications. 237. 121500–121500. 14 indexed citations
8.
Ding, Sanbo, et al.. (2023). Event-Based Distributed Set-Membership Estimation for Complex Networks: A Coding-Decoding Method. IEEE Transactions on Network Science and Engineering. 11(2). 1619–1630. 3 indexed citations
9.
Ding, Sanbo, et al.. (2023). Dual-Event-Driven Synchronization Control for Discrete-Time Complex Dynamical Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 71(2). 851–861. 6 indexed citations
10.
Ding, Sanbo, et al.. (2021). Periodic Event-Triggered Dynamic Feedback Synchronization Control of Discrete-Time Neural Networks. IEEE Transactions on Cybernetics. 53(8). 5380–5386. 8 indexed citations
11.
Ding, Sanbo & Zhanshan Wang. (2020). Event-triggered synchronization of discrete-time neural networks: A switching approach. Neural Networks. 125. 31–40. 118 indexed citations
12.
Ding, Sanbo, Zhanshan Wang, & Nannan Rong. (2020). Intermittent Control for Quasisynchronization of Delayed Discrete-Time Neural Networks. IEEE Transactions on Cybernetics. 51(2). 862–873. 75 indexed citations
13.
Rong, Nannan, Zhanshan Wang, Sanbo Ding, & Huaguang Zhang. (2018). Interval type-2 regional switching T–S fuzzy control for time-delay systems via membership function dependent approach. Fuzzy Sets and Systems. 374. 152–169. 9 indexed citations
14.
Ding, Sanbo, Zhanshan Wang, & Huaguang Zhang. (2018). Event-Triggered Stabilization of Neural Networks With Time-Varying Switching Gains and Input Saturation. IEEE Transactions on Neural Networks and Learning Systems. 29(10). 5045–5056. 77 indexed citations
15.
Ding, Sanbo, Zhanshan Wang, & Huaguang Zhang. (2018). Quasi-Synchronization of Delayed Memristive Neural Networks via Region-Partitioning-Dependent Intermittent Control. IEEE Transactions on Cybernetics. 49(12). 4066–4077. 75 indexed citations
16.
Wang, Jidong, Zhanshan Wang, Sanbo Ding, & Huaguang Zhang. (2018). Refined Jensen-Based Multiple Integral Inequality and Its Application to Stability of Time-Delay Systems. IEEE/CAA Journal of Automatica Sinica. 5(3). 758–764. 5 indexed citations
17.
Wang, Zhanshan, Sanbo Ding, & Huaguang Zhang. (2017). Hierarchy of stability criterion for time-delay systems based on multiple integral approach. Applied Mathematics and Computation. 314. 422–428. 26 indexed citations
18.
Ding, Sanbo, Zhanshan Wang, Jidong Wang, & Huaguang Zhang. (2016). H∞state estimation for memristive neural networks with time-varying delays: The discrete-time case. Neural Networks. 84. 47–56. 47 indexed citations
19.
Ding, Sanbo & Zhanshan Wang. (2016). Lag quasi-synchronization for memristive neural networks with switching jumps mismatch. Neural Computing and Applications. 28(12). 4011–4022. 47 indexed citations
20.
Wang, Zhanshan, Sanbo Ding, Qihe Shan, & Huaguang Zhang. (2016). Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method. IEEE Transactions on Neural Networks and Learning Systems. 28(10). 2456–2463. 92 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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