Lingzhi Hu

827 total citations
29 papers, 628 citations indexed

About

Lingzhi Hu is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Lingzhi Hu has authored 29 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 12 papers in Control and Systems Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Lingzhi Hu's work include Adaptive Dynamic Programming Control (16 papers), Adaptive Control of Nonlinear Systems (7 papers) and Advanced MRI Techniques and Applications (6 papers). Lingzhi Hu is often cited by papers focused on Adaptive Dynamic Programming Control (16 papers), Adaptive Control of Nonlinear Systems (7 papers) and Advanced MRI Techniques and Applications (6 papers). Lingzhi Hu collaborates with scholars based in China, United States and Australia. Lingzhi Hu's co-authors include Samuel A. Wickline, Ding Wang, Joshua L. Hood, Mingming Zhao, Junfei Qiao, Junjie Chen, Gregory M. Lanza, Shelton D. Caruthers, John S. Allen and Lei Zhang and has published in prestigious journals such as The FASEB Journal, Magnetic Resonance in Medicine and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Lingzhi Hu

26 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingzhi Hu China 12 195 155 138 121 104 29 628
Xianglei He China 16 249 1.3× 105 0.7× 330 2.4× 77 0.6× 95 0.9× 51 965
Qian Wan China 12 170 0.9× 76 0.5× 34 0.2× 280 2.3× 21 0.2× 33 725
Ruliang Wang China 12 150 0.8× 32 0.2× 77 0.6× 139 1.1× 100 1.0× 59 471
Jinhua Huang China 19 154 0.8× 22 0.1× 26 0.2× 218 1.8× 101 1.0× 90 1.4k
Hanju Kim South Korea 14 63 0.3× 58 0.4× 56 0.4× 127 1.0× 18 0.2× 40 440
Max L. Balter United States 10 162 0.8× 23 0.1× 36 0.3× 307 2.5× 85 0.8× 16 806
Xuhui Wang China 11 124 0.6× 40 0.3× 41 0.3× 241 2.0× 31 0.3× 49 589
Tao Chen China 22 224 1.1× 28 0.2× 11 0.1× 129 1.1× 70 0.7× 113 1.6k
Dániel András Drexler Hungary 16 323 1.7× 51 0.3× 127 0.9× 67 0.6× 160 1.5× 116 951
Shuhei Kimura Japan 14 645 3.3× 113 0.7× 23 0.2× 35 0.3× 49 0.5× 65 1.0k

Countries citing papers authored by Lingzhi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhi Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingzhi Hu. A scholar is included among the top collaborators of Lingzhi Hu 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 Lingzhi Hu. Lingzhi Hu 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.
Hu, Lingzhi, Ding Wang, Gongming Wang, & Junfei Qiao. (2025). Self-triggered neural tracking control for discrete-time nonlinear systems via adaptive critic learning. Neural Networks. 186. 107280–107280.
2.
Wang, Ding, Jiangyu Wang, Lingzhi Hu, & Liguo Zhang. (2024). Novel Parallel Formulation for Iterative Reinforcement Learning Control. IEEE Transactions on Systems Man and Cybernetics Systems. 54(10). 6320–6331. 4 indexed citations
3.
Wang, Ding, Lingzhi Hu, Hua Wang, & Junfei Qiao. (2024). Nonperiodic and Periodic Event-Triggered Online H∞ Control for Constrained Nonlinear Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 55(1). 331–343. 9 indexed citations
4.
Wang, Ding, Jiangyu Wang, Lingzhi Hu, & Mingming Zhao. (2023). Event-based online learning control design with eligibility trace for discrete-time unknown nonlinear systems. Engineering Applications of Artificial Intelligence. 123. 106240–106240. 4 indexed citations
5.
Wang, Ding, et al.. (2023). Model-free intelligent critic design with error analysis for neural tracking control. Neurocomputing. 572. 127198–127198.
6.
Wang, Ding, et al.. (2023). Data-driven tracking control design with reinforcement learning involving a wastewater treatment application. Engineering Applications of Artificial Intelligence. 123. 106242–106242. 6 indexed citations
7.
Hu, Lingzhi, et al.. (2022). An event-triggered neural critic technique for nonzero-sum game design with control constraints. International Journal of Systems Science. 54(2). 237–250. 3 indexed citations
8.
Wang, Ding, Lingzhi Hu, Mingming Zhao, & Junfei Qiao. (2022). Dual Event-Triggered Constrained Control Through Adaptive Critic for Discrete-Time Zero-Sum Games. IEEE Transactions on Systems Man and Cybernetics Systems. 53(3). 1584–1595. 79 indexed citations
9.
Wang, Ding, et al.. (2022). Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation. IEEE Transactions on Circuits & Systems II Express Briefs. 70(4). 1535–1539. 2 indexed citations
10.
Wang, Ding, et al.. (2022). Adaptive optimal tracking control with novel event‐triggered formulation for a type of nonlinear systems. International Journal of Adaptive Control and Signal Processing. 36(12). 3004–3022. 4 indexed citations
11.
Hu, Lingzhi, Hua Pan, & Samuel A. Wickline. (2021). Fluorine (19F) MRI to Measure Renal Oxygen Tension and Blood Volume: Experimental Protocol. Methods in molecular biology. 2216. 509–518. 5 indexed citations
12.
Wang, Ding, Mingming Zhao, Mingming Ha, & Lingzhi Hu. (2021). Adaptive-critic-based hybrid intelligent optimal tracking for a class of nonlinear discrete-time systems. Engineering Applications of Artificial Intelligence. 105. 104443–104443. 23 indexed citations
13.
Wang, Ding, Lingzhi Hu, Mingming Zhao, & Junfei Qiao. (2021). Adaptive Critic for Event-Triggered Unknown Nonlinear Optimal Tracking Design With Wastewater Treatment Applications. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6276–6288. 61 indexed citations
14.
Chen, Junjie, Chandu Vemuri, Joseph P. Gaut, et al.. (2015). Antithrombin nanoparticles improve kidney reperfusion and protect kidney function after ischemia-reperfusion injury. American Journal of Physiology-Renal Physiology. 308(7). F765–F773. 31 indexed citations
15.
Hu, Lingzhi, Samuel A. Wickline, & Joshua L. Hood. (2014). Magnetic resonance imaging of melanoma exosomes in lymph nodes. Magnetic Resonance in Medicine. 74(1). 266–271. 161 indexed citations
16.
Hu, Lingzhi, Junjie Chen, Xiaoxia Yang, et al.. (2013). Assessing intrarenal nonperfusion and vascular leakage in acute kidney injury with multinuclear 1H/19F MRI and perfluorocarbon nanoparticles. Magnetic Resonance in Medicine. 71(6). 2186–2196. 27 indexed citations
17.
Hu, Lingzhi, Junjie Chen, Xiaoxia Yang, et al.. (2012). Rapid quantification of oxygen tension in blood flow with a fluorine nanoparticle reporter and a novel blood flow‐enhanced‐saturation‐recovery sequence. Magnetic Resonance in Medicine. 70(1). 176–183. 11 indexed citations
18.
Zhang, Lei, John S. Allen, Lingzhi Hu, et al.. (2012). Cardiomyocyte architectural plasticity in fetal, neonatal, and adult pig hearts delineated with diffusion tensor MRI. American Journal of Physiology-Heart and Circulatory Physiology. 304(2). H246–H252. 30 indexed citations
19.
Hu, Lingzhi, Lei Zhang, Junjie Chen, Gregory M. Lanza, & Samuel A. Wickline. (2011). Diffusional mechanisms augment the fluorine MR relaxation in paramagnetic perfluorocarbon nanoparticles that provides a “relaxation switch” for detecting cellular endosomal activation. Journal of Magnetic Resonance Imaging. 34(3). 653–661. 11 indexed citations
20.
Hu, Lingzhi, Junjie Chen, Lei Zhang, et al.. (2011). A generalized strategy for designing 19F/1H dual‐frequency MRI coil for small animal imaging at 4.7 Tesla. Journal of Magnetic Resonance Imaging. 34(1). 245–252. 31 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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