Zhiguo Tan

802 total citations
28 papers, 619 citations indexed

About

Zhiguo Tan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Zhiguo Tan has authored 28 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 11 papers in Artificial Intelligence and 9 papers in Aerospace Engineering. Recurrent topics in Zhiguo Tan's work include Robotic Mechanisms and Dynamics (11 papers), Neural Networks and Applications (10 papers) and Iterative Learning Control Systems (7 papers). Zhiguo Tan is often cited by papers focused on Robotic Mechanisms and Dynamics (11 papers), Neural Networks and Applications (10 papers) and Iterative Learning Control Systems (7 papers). Zhiguo Tan collaborates with scholars based in China, Hong Kong and United Kingdom. Zhiguo Tan's co-authors include Lin Xiao, Xuanjiao Lv, Weibing Li, Zhi Yang, Yueming Hu, Shuai Li, Yunong Zhang, Ke Chen, Ke Chen and Kenli Li and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Zhiguo Tan

26 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhiguo Tan China	13	435	266	139	84	60	28	619
Lei Ding China	9	367 0.8×	266 1.0×	77 0.6×	86 1.0×	37 0.6×	23	508
Rongbo Lu China	10	339 0.8×	282 1.1×	89 0.6×	59 0.7×	31 0.5×	23	527
Dongsheng Guo China	14	775 1.8×	311 1.2×	316 2.3×	90 1.1×	95 1.6×	34	980
Yiwen Yang China	10	282 0.6×	176 0.7×	73 0.5×	45 0.5×	28 0.5×	20	415
Yongjun He China	14	323 0.7×	326 1.2×	116 0.8×	117 1.4×	21 0.3×	37	569
Laicheng Yan China	7	285 0.7×	150 0.6×	75 0.5×	33 0.4×	33 0.6×	11	381
Yimeng Qi China	10	199 0.5×	144 0.5×	77 0.6×	47 0.6×	17 0.3×	15	377
Peng Miao China	9	277 0.6×	160 0.6×	43 0.3×	113 1.3×	28 0.5×	28	452
Girish Parmar India	15	437 1.0×	105 0.4×	145 1.0×	305 3.6×	102 1.7×	67	819
Wuxi Shi China	15	532 1.2×	111 0.4×	196 1.4×	32 0.4×	52 0.9×	56	672

Countries citing papers authored by Zhiguo Tan

Since Specialization

Citations

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

Fields of papers citing papers by Zhiguo Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiguo Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiguo Tan. A scholar is included among the top collaborators of Zhiguo Tan 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 Zhiguo Tan. Zhiguo Tan 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

Tan, Zhiguo & Yunong Zhang. (2025). Finite-time convergent gradient-zeroing neurodynamic system for solving temporally-variant linear simultaneous equation. Applied Soft Computing. 170. 112695–112695.

Xing, Yang, et al.. (2025). Mitochondrial function in intestinal ischemia-reperfusion injury: mechanisms and therapeutic perspectives. Molecular Biology Reports. 52(1). 784–784.

Tan, Zhiguo, et al.. (2024). A Review of Deep Learning-Based LiDAR and Camera Extrinsic Calibration. Sensors. 24(12). 3878–3878. 4 indexed citations

Gao, Feng, et al.. (2023). Terahertz tunable vanadium dioxide metasurface for dynamic illusion and cloaking. iScience. 27(1). 108609–108609. 3 indexed citations

Tan, Zhiguo, et al.. (2022). Solidification and Evolution of β-NiAl Phase in a Re-Containing Single Crystal Superalloy. Metals and Materials International. 28(10). 2305–2317. 5 indexed citations

Tan, Zhiguo. (2022). Fixed-Time Convergent Gradient Neural Network for Solving Online Sylvester Equation. Mathematics. 10(17). 3090–3090. 10 indexed citations

Tan, Zhiguo, Xingang Wang, Yanhong Yang, et al.. (2021). Microstructural Stability and Creep Performance of a Novel Low-Cost Single Crystal Superalloy. Metals and Materials International. 28(7). 1599–1610. 9 indexed citations

Xiao, Lin, Lei Jia, Jianhua Dai, & Zhiguo Tan. (2020). Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances. Neurocomputing. 415. 174–183. 9 indexed citations

Xiao, Lin, et al.. (2020). Design of a nonlinearly activated gradient-based neural network and its application to matrix inversion. Filomat. 34(15). 5095–5101. 1 indexed citations

10.

Li, Weibing, et al.. (2019). A Variable-Gain Finite-Time Convergent Recurrent Neural Network for Time-Variant Quadratic Programming With Unknown Noises Endured. IEEE Transactions on Industrial Informatics. 15(9). 5330–5340. 49 indexed citations

11.

Tan, Zhiguo, Yueming Hu, Lin Xiao, & Ke Chen. (2019). Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion. IEEE Access. 7. 33434–33440. 29 indexed citations

12.

Tan, Zhiguo, Weibing Li, Lin Xiao, & Yueming Hu. (2019). New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore–Penrose Inversion. IEEE Transactions on Neural Networks and Learning Systems. 31(8). 2980–2992. 56 indexed citations

13.

Tan, Zhiguo, Lin Xiao, Siyuan Chen, & Xuanjiao Lv. (2019). Noise-Tolerant and Finite-Time Convergent ZNN Models for Dynamic Matrix Moore–Penrose Inversion. IEEE Transactions on Industrial Informatics. 16(3). 1591–1601. 22 indexed citations

14.

Lv, Xuanjiao, et al.. (2019). Improved Gradient Neural Networks for Solving Moore–Penrose Inverse of Full-Rank Matrix. Neural Processing Letters. 50(2). 1993–2005. 29 indexed citations

15.

Xiao, Lin, Shuai Li, Faa‐Jeng Lin, Zhiguo Tan, & Ameer Hamza Khan. (2018). Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed. IEEE Transactions on Industrial Informatics. 15(5). 2605–2616. 66 indexed citations

16.

Xiao, Lin, Yongsheng Zhang, Kenli Li, Bolin Liao, & Zhiguo Tan. (2018). A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion. Neurocomputing. 331. 483–492. 57 indexed citations

17.

Lv, Xuanjiao, Lin Xiao, Zhiguo Tan, & Zhi Yang. (2018). Wsbp function activated Zhang dynamic with finite-time convergence applied to Lyapunov equation. Neurocomputing. 314. 310–315. 35 indexed citations

18.

Xiao, Lin, Kenli Li, Zhiguo Tan, et al.. (2018). Nonlinear gradient neural network for solving system of linear equations. Information Processing Letters. 142. 35–40. 59 indexed citations

19.

Zhang, Yunong, Zhiguo Tan, Zhi Yang, & Xuanjiao Lv. (2008). A dual neural network applied to drift-free resolution of five-link planar robot arm. 1274–1279. 16 indexed citations

20.

Chen, Ke, Dongsheng Guo, Zhiguo Tan, Zhi Yang, & Yunong Zhang. (2008). Cyclic Motion Planning of Redundant Robot Arms: Simple Extension of Performance Index May Not Work. 635–639. 3 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