World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
11229
World Ranking
1894
National Ranking
328

Jing Na publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Jing Na sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 291 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Jing Na D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Jing Na sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 58 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Jing Na is affiliated with Kunming University of Science and Technology in China. Their research primarily focuses on engineering, with a significant contribution to the field of control and systems engineering. Within this domain, they have also worked on related subfields such as mechanical engineering, biomedical engineering, electrical and electronic engineering, and civil and structural engineering.

The scientist's main topics of work include:

  • Adaptive Control of Nonlinear Systems
  • Iterative Learning Control Systems
  • Control Systems in Engineering
  • Advanced Control Systems Optimization
  • Adaptive Dynamic Programming Control
  • Hydraulic and Pneumatic Systems
  • Control Systems and Identification

Jing Na has published frequently in several distinguished venues, including:

  • IEEE Transactions on Industrial Electronics
  • SSRN Electronic Journal
  • IEEE Transactions on Automation Science and Engineering
  • ISA Transactions
  • 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)

They have collaborated extensively with several co-authors, most frequently with Guanbin Gao, Yingbo Huang, Shubo Wang, Xuemei Ren, and Yashan Xing.

Some of their recent papers are:

  • "Adaptive Identifier-Critic-Based Optimal Tracking Control for Nonlinear Systems With Experimental Validation," 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • "USDE-Based Sliding Mode Control for Servo Mechanisms With Unknown System Dynamics," 2020, IEEE/ASME Transactions on Mechatronics
  • "Value iteration and adaptive optimal output regulation with assured convergence rate," 2022, Control Engineering Practice
  • "Parameter Estimation and Adaptive Control for Servo Mechanisms With Friction Compensation," 2020, IEEE Transactions on Industrial Informatics
  • "Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion," 2020, IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Adaptive Prescribed Performance Motion Control of Servo Mechanisms with Friction Compensation

    Jing Na;Qiang Chen;Xuemei Ren;Yu Guo

  • Adaptive Parameter Estimation and Control Design for Robot Manipulators With Finite-Time Convergence

    Chenguang Yang;Yiming Jiang;Wei He;Jing Na

  • Robust adaptive finite-time parameter estimation and control for robotic systems

    Jing Na;Muhammad Nasiruddin Mahyuddin;Guido Herrmann;Xuemei Ren

  • Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics

    Chenguang Yang;Yiming Jiang;Jing Na;Zhijun Li

  • Adaptive control of nonlinear uncertain active suspension systems with prescribed performance.

    Yingbo Huang;Jing Na;Xing Wu;Xiaoqin Liu

  • Adaptive Control for Nonlinear Pure-Feedback Systems With High-Order Sliding Mode Observer

    Jing Na;Xuemei Ren;Dongdong Zheng

  • Active Adaptive Estimation and Control for Vehicle Suspensions With Prescribed Performance

    Jing Na;Yingbo Huang;Xing Wu;Guanbin Gao

  • Adaptive Finite-Time Fuzzy Control of Nonlinear Active Suspension Systems With Input Delay

    Jing Na;Yingbo Huang;Xing Wu;Shun-Feng Su

  • Extended-State-Observer-Based Funnel Control for Nonlinear Servomechanisms With Prescribed Tracking Performance

    Shubo Wang;Xuemei Ren;Jing Na;Tianyi Zeng

  • MME-EKF-Based Path-Tracking Control of Autonomous Vehicles Considering Input Saturation

    Chuan Hu;Zhenfeng Wang;Hamid Taghavifar;Jing Na

  • Approximation-Free Control for Vehicle Active Suspensions With Hydraulic Actuator

    Yingbo Huang;Jing Na;Xing Wu;Guanbin Gao

  • Proceedings of the 32nd Chinese Control Conference

    Jing Na;Muhammad Nasiruddin Mahyuddin;Guido Herrmann;Xuemei Ren

  • Neural-Network-Based Adaptive Funnel Control for Servo Mechanisms With Unknown Dead-Zone

    Shubo Wang;Haisheng Yu;Jinpeng Yu;Jing Na

  • Output Feedback Control of Uncertain Hydraulic Servo Systems

    Jing Na;Yunpeng Li;Yingbo Huang;Guanbin Gao

  • Robust adaptive parameter estimation of sinusoidal signals

    Jing Na;Juan Yang;Xing Wu;Yu Guo

  • RISE-Based Asymptotic Prescribed Performance Tracking Control of Nonlinear Servo Mechanisms

    Shubo Wang;Jing Na;Xuemei Ren

  • Adaptive neural dynamic surface control for servo systems with unknown dead-zone

    Jing Na;Jing Na;Xuemei Ren;Guido Herrmann;Zhi Qiao

  • Online adaptive approximate optimal tracking control with simplified dual approximation structure for continuous-time unknown nonlinear systems

    Jing Na;Guido Herrmann

  • Adaptive Observer-Based Parameter Estimation With Application to Road Gradient and Vehicle Mass Estimation

    Muhammad Nasiruddin Mahyuddin;Jing Na;Guido Herrmann;Xuemei Ren

  • Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks

    Chenguang Yang;Guangzhu Peng;Long Cheng;Jing Na

  • USDE-Based Sliding Mode Control for Servo Mechanisms With Unknown System Dynamics

    Shubo Wang;Liang Tao;Qiang Chen;Jing Na

  • Vehicle Engine Torque Estimation via Unknown Input Observer and Adaptive Parameter Estimation

    Jing Na;Anthony Siming Chen;Guido Herrmann;Richard Burke

Frequent Co-Authors

Xuemei Ren
Xuemei Ren Beijing Institute of Technology
Chenguang Yang
Chenguang Yang University of Liverpool
Zhijun Li
Zhijun Li Tongji University
Quanmin Zhu
Quanmin Zhu University of the West of England
Wei He
Wei He University of Science and Technology Beijing
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Qinmin Yang
Qinmin Yang Zhejiang University
Jinpeng Yu
Jinpeng Yu Qingdao University
Long Cheng
Long Cheng Chinese Academy of Sciences
Rong-Fong Fung
Rong-Fong Fung National Kaohsiung First University of Science and Technology

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