Yongjun He

813 total citations
37 papers, 569 citations indexed

About

Yongjun He is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Yongjun He has authored 37 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Yongjun He's work include Neural Networks and Applications (15 papers), Robotic Mechanisms and Dynamics (12 papers) and Model Reduction and Neural Networks (6 papers). Yongjun He is often cited by papers focused on Neural Networks and Applications (15 papers), Robotic Mechanisms and Dynamics (12 papers) and Model Reduction and Neural Networks (6 papers). Yongjun He collaborates with scholars based in China and United Kingdom. Yongjun He's co-authors include Lin Xiao, Jianhua Dai, Lei Jia, Bolin Liao, Yaonan Wang, Wensheng Tang, Haiyan Tan, Xinwang Liu, Jichun Li and Fuchun Sun and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Yongjun He

37 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongjun He China 14 326 323 117 116 47 37 569
Zhiguo Tan China 13 266 0.8× 435 1.3× 84 0.7× 139 1.2× 38 0.8× 28 619
Chenfu Yi China 16 339 1.0× 508 1.6× 119 1.0× 117 1.0× 47 1.0× 39 833
Rongbo Lu China 10 282 0.9× 339 1.0× 59 0.5× 89 0.8× 34 0.7× 23 527
Lei Ding China 9 266 0.8× 367 1.1× 86 0.7× 77 0.7× 25 0.5× 23 508
Yimeng Qi China 10 144 0.4× 199 0.6× 47 0.4× 77 0.7× 24 0.5× 15 377
Dongsheng Guo China 14 311 1.0× 775 2.4× 90 0.8× 316 2.7× 53 1.1× 34 980
Peng Miao China 9 160 0.5× 277 0.9× 113 1.0× 43 0.4× 20 0.4× 28 452
Yiwen Yang China 10 176 0.5× 282 0.9× 45 0.4× 73 0.6× 41 0.9× 20 415
Guanghui Xu China 14 183 0.6× 200 0.6× 195 1.7× 183 1.6× 11 0.2× 35 645
Huiyan Lu China 6 131 0.4× 174 0.5× 34 0.3× 64 0.6× 21 0.4× 12 325

Countries citing papers authored by Yongjun He

Since Specialization
Citations

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

Fields of papers citing papers by Yongjun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjun He

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjun He. A scholar is included among the top collaborators of Yongjun He 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 Yongjun He. Yongjun He 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.
He, Yongjun, et al.. (2025). A Nonlinear Noise-Resistant Zeroing Neural Network Model for Solving Time-Varying Quaternion Generalized Lyapunov Equation and Applications to Color Image Processing. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14371–14383. 2 indexed citations
2.
He, Yongjun, et al.. (2024). Two ZNN-Based Unified SMC Schemes for Finite/Fixed/Preassigned-Time Synchronization of Chaotic Systems. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(3). 2108–2121. 3 indexed citations
3.
Xiao, Lin, et al.. (2024). A Fixed-Time Robust Controller Based on Zeroing Neural Dynamics for Projective Synchronization of Offshore Wind Turbine Systems. IEEE Transactions on Industrial Informatics. 20(7). 9782–9792. 5 indexed citations
4.
Tang, Wensheng, et al.. (2024). A Predefined-Time Adaptive Zeroing Neural Network for Solving Time-Varying Linear Equations and Its Application to UR5 Robot. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4703–4712. 11 indexed citations
5.
Xiao, Lin, et al.. (2024). Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition. IEEE Transactions on Systems Man and Cybernetics Systems. 54(6). 3642–3651. 9 indexed citations
6.
He, Yongjun, et al.. (2024). A Fuzzy Neural Network Approach to Adaptive Robust Nonsingular Sliding Mode Control for Predefined-Time Tracking of a Quadrotor. IEEE Transactions on Fuzzy Systems. 32(12). 6775–6788. 7 indexed citations
7.
Xiao, Lin, et al.. (2023). Prescribed-time robust ZNN models for solving equality and inequality systems. Journal of the Franklin Institute. 360(13). 9307–9328. 4 indexed citations
8.
Xiao, Lin, Yuanfang Zhang, Lei Jia, & Yongjun He. (2023). A ZNN-based sliding mode control strategy for solving synchronization problems of chaotic systems with application in memristor oscillator. Journal of the Franklin Institute. 360(16). 12101–12124. 4 indexed citations
9.
He, Yongjun, et al.. (2023). A Dynamic Gain Fixed-Time Robust ZNN Model for Time-Variant Equality Constrained Quaternion Least Squares Problem With Applications to Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18394–18403. 10 indexed citations
10.
Xiao, Lin, et al.. (2023). A fixed-time robust controller based on zeroing neural network for generalized projective synchronization of chaotic systems. Chaos Solitons & Fractals. 169. 113279–113279. 26 indexed citations
11.
12.
Xiao, Lin, et al.. (2023). Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9408–9416. 12 indexed citations
13.
Dai, Jianhua, et al.. (2022). A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations. Knowledge-Based Systems. 242. 108405–108405. 24 indexed citations
14.
Xiao, Lin, et al.. (2021). Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion. IEEE Transactions on Industrial Informatics. 18(3). 1562–1571. 27 indexed citations
15.
He, Yongjun, et al.. (2021). Double Accelerated Convergence ZNN with Noise-Suppression for Handling Dynamic Matrix Inversion. Mathematics. 10(1). 50–50. 13 indexed citations
16.
Dai, Jianhua, et al.. (2021). Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion. IEEE Transactions on Industrial Informatics. 18(4). 2434–2442. 30 indexed citations
17.
Liu, Ping, Lin Xiao, Lei Jia, & Yongjun He. (2021). A Novel-Restraint and Predefined-Time ZNN Model for Time-Dependent Matrix Inversion. 207–211. 3 indexed citations
18.
Xiao, Lin, Yongjun He, Jianhua Dai, et al.. (2020). A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. IEEE Transactions on Neural Networks and Learning Systems. 33(4). 1535–1545. 49 indexed citations
19.
Xiao, Lin, et al.. (2020). Improved finite-time zeroing neural networks for time-varying complex Sylvester equation solving. Mathematics and Computers in Simulation. 178. 246–258. 17 indexed citations
20.

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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