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Jing Li

ResearcherPublications, citations & collaboration network

Jing Li is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 389 works, 4,517 citations, an h-index of 30 and an i10-index of 80.

389
Works
4,517
Citations
30
h-index
80
i10-index

How has Jing Li's publication output changed over time?

ScholarIQpublication output · 2008–2022

Output grew0% over the shown period — from 1 works in 2008 to 1 in 2022.

1
1
1
1
1
2
1
1
1
200820102012201320142016201820202022

What are the most-cited papers on Jing Li?

ScholarIQmost cited works
Brief Introduction of Back Propagation (BP) Neural Network Algorithm and Its Improvement
Jing Li, Jihang Cheng, Jingyuan Shi, Fei Huang
S4210208846. 2012694 Citations
Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints
Yan‐Jun Liu, Jing Li, Shaocheng Tong, C. L. Philip Chen
IEEE Transactions on Neural Networks and Learning Systems. 2016513 Citations
Adaptive Neural Dynamic Surface Control With Prespecified Tracking Accuracy of Uncertain Stochastic Nonstrict-Feedback Systems
Jian Wu, Xuemiao Chen, Qianjin Zhao, Jing Li, Zheng‐Guang Wu
IEEE Transactions on Cybernetics. 2020202 Citations
Experimental study on the performance of vehicle integrated thermal management system for pure electric vehicles
Jing Ma, Yongfei Sun, Shiang Zhang, Jing Li, Siguang Li
S105637730. 2022123 Citations

Related on ScholarIQ

Shenyang Aerospace University
Institution
Brief Introduction of Back Propagation (BP) Neural Network Algorithm and Its Improvement
Paper
Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints
Paper
Adaptive Neural Dynamic Surface Control With Prespecified Tracking Accuracy of Uncertain Stochastic Nonstrict-Feedback Systems
Paper
Adaptive NN output‐feedback decentralized stabilization for a class of large‐scale stochastic nonlinear strict‐feedback systems
Paper
Experimental study on the performance of vehicle integrated thermal management system for pure electric vehicles
Paper
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