World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
57
Citations
10227
World Ranking
2004
National Ranking
345

Long Cheng 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 Long Cheng 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: 216 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Long Cheng 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 Long Cheng 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: 57 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Long Cheng is affiliated with the Chinese Academy of Sciences in China and specializes in engineering, with a focus on biomedical engineering, control and systems engineering, electrical and electronic engineering, aerospace engineering, and computer vision and pattern recognition.

The research portfolio of Long Cheng encompasses several main topics, including:

  • Muscle activation and electromyography studies
  • Robot Manipulation and Learning
  • Prosthetics and Rehabilitation Robotics
  • Stroke Rehabilitation and Recovery
  • Underwater Vehicles and Communication Systems
  • Paleontology and Evolutionary Biology
  • Iterative Learning Control Systems

Recent papers demonstrate contributions across robotics, control systems, and biomechanics. Selected works include:

  • Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation, 2021, IEEE Transactions on Cybernetics
  • Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints, 2020, IEEE Transactions on Industrial Informatics
  • Development and Motion Control of Biomimetic Underwater Robots: A Survey, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • Full-field measurement and fracture and fatigue characterizations of asphalt concrete based on the SCB test and stereo-DIC, 2020, Engineering Fracture Mechanics

The scientist collaborates frequently with several coauthors, including Min Tan, Houcheng Li, Yongxiang Zou, Li-Jun Han, and Zhengwei Li.

Long Cheng has published extensively in a number of scientific venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE/ASME Transactions on Mechatronics
  • SSRN Electronic Journal
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Robotics

Best Publications

  • Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks

    Zeng-Guang Hou;Long Cheng;Min Tan

  • Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties

    Long Cheng;Zeng-Guang Hou;Min Tan;Yingzi Lin

  • Neural-Learning-Based Telerobot Control With Guaranteed Performance

    Chenguang Yang;Xinyu Wang;Long Cheng;Hongbin Ma

  • 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 an Electrically Driven Nonholonomic Mobile Robot via Backstepping and Fuzzy Approach

    Zeng-Guang Hou;An-Min Zou;Long Cheng;Min Tan

  • Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators

    Long Cheng;Weichuan Liu;Zeng-Guang Hou;Junzhi Yu

  • Brief paper: Adaptive neural network tracking control for manipulators with uncertain kinematics, dynamics and actuator model

    Long Cheng;Zeng-Guang Hou;Min Tan

  • Necessary and Sufficient Conditions for Consensus of Double-Integrator Multi-Agent Systems With Measurement Noises

    Long Cheng;Zeng-Guang Hou;Min Tan;Xu Wang

  • Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation

    Chenguang Yang;Dianye Huang;Wei He;Long Cheng

  • A Mean Square Consensus Protocol for Linear Multi-Agent Systems With Communication Noises and Fixed Topologies

    Long Cheng;Zeng-Guang Hou;Min Tan

  • Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks

    Long Cheng;Zeng-Guang Hou;Yingzi Lin;Min Tan

  • Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot–Environment Interaction

    Chenguang Yang;Guangzhu Peng;Yanan Li;Rongxin Cui

  • Sampled-data based average consensus of second-order integral multi-agent systems: Switching topologies and communication noises

    Long Cheng;Yunpeng Wang;Zeng-Guang Hou;Min Tan

  • Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation

    Xinbo Yu;Bin Li;Wei He;Yanghe Feng

  • Seeking Consensus in Networks of Linear Agents: Communication Noises and Markovian Switching Topologies

    Yunpeng Wang;Long Cheng;Wei Ren;Zeng-Guang Hou

  • Containment control of continuous-time linear multi-agent systems with aperiodic sampling

    Huiyang Liu;Long Cheng;Min Tan;Zeng-Guang Hou

  • On Convergence Rate of Leader-Following Consensus of Linear Multi-Agent Systems With Communication Noises

    Long Cheng;Yunpen Wang;Wei Ren;Zeng-Guang Hou

  • Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback

    Linghuan Kong;Wei He;Yiting Dong;Long Cheng

  • Containment control of multi-agent systems in a noisy communication environment

    Yunpeng Wang;Long Cheng;Zeng-Guang Hou;Min Tan

  • Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints

    Dianye Huang;Chenguang Yang;Yongping Pan;Long Cheng

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

    Chenguang Yang;Guangzhu Peng;Long Cheng;Jing Na

  • Containment Control of Multiagent Systems With Dynamic Leaders Based on a $PI^{n}$ -Type Approach

    Long Cheng;Yunpeng Wang;Wei Ren;Zeng-Guang Hou

  • Containment Control of Multi-Agent Systems with Dynamic Leaders Based on a $PI^n$-Type Approach

    Yunpeng Wang;Long Cheng;Wei Ren;Zeng-Guang Hou

Frequent Co-Authors

Min Tan
Min Tan Chinese Academy of Sciences
Chenguang Yang
Chenguang Yang University of Liverpool
Yingzi Lin
Yingzi Lin Northeastern University
Shuo Wang
Shuo Wang Nankai University
Junzhi Yu
Junzhi Yu Peking University
Zhijun Li
Zhijun Li Tongji University
Yongping Pan
Yongping Pan Sun Yat-sen University
Wei Ren
Wei Ren University of California, Riverside
Wei He
Wei He University of Science and Technology Beijing
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology

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