World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
68
Citations
15934
World Ranking
1031
National Ranking
178

Computer Science

D-Index
76
Citations
20544
World Ranking
1355
National Ranking
182

Zheng Yan 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 Zheng Yan 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: 432 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Zheng Yan 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 Zheng Yan 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Zheng Yan is a researcher affiliated with Xidian University in China. Their work spans multiple areas within computer science and engineering, focusing primarily on artificial intelligence, electrical and electronic engineering, and computer vision and pattern recognition. Zheng Yan's research contributions address a variety of specialized topics and fields.

The scientist's recent publications include:

  • Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors, 2020, Nature Electronics
  • Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health, 2023, Sustainability
  • Multilabel Image Classification via Feature/Label Co-Projection, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • CKFO: Convolution Kernel First Operated Algorithm With Applications in Memristor-Based Convolutional Neural Network, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control Systems, 2023, IEEE/CAA Journal of Automatica Sinica

Zheng Yan collaborates frequently with a number of researchers in the domain, including Tingwen Huang, Shiping Wen, Yuting Cao, Jie Lü, and Zhenyuan Guo. These coauthors have worked together on multiple projects, reflecting ongoing partnerships within their research community.

The scientist's areas of study include:

  • Computer Science
  • Engineering

Subfields where Zheng Yan has made significant contributions are:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Computer Networks and Communications

Their main research topics cover a broad range of specialized themes, such as:

  • Advanced Memory and Neural Computing
  • Neural Networks Stability and Synchronization
  • Machine Learning and Extreme Learning Machines
  • Time Series Analysis and Forecasting
  • Neural Networks and Applications
  • Sparse and Compressive Sensing Techniques
  • Domain Adaptation and Few-Shot Learning

Zheng Yan's work is published frequently in venues including Neurocomputing, arXiv (Cornell University), IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Cybernetics, and IEEE Transactions on Neural Networks and Learning Systems.

Best Publications

  • A survey on trust management for Internet of Things

    Zheng Yan;Zheng Yan;Peng Zhang;Athanasios V. Vasilakos

  • A survey on machine learning for data fusion

    Tong Meng;Xuyang Jing;Zheng Yan;Zheng Yan;Witold Pedrycz

  • Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors

    Ming Wang;Zheng Yan;Ting Wang;Pingqiang Cai

  • From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework

    Opeyemi Osanaiye;Shuo Chen;Zheng Yan;Rongxing Lu

  • Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT

    Xiaokang Zhou;Xuesong Xu;Wei Liang;Zhi Zeng

  • Trust Evaluation Based Security Solution in Ad Hoc Networks

    Zheng Yan;Peng Zhang;Teemupekka Virtanen

  • A Survey on Biometric Authentication: Toward Secure and Privacy-Preserving Identification

    Zhang Rui;Zheng Yan

  • Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles

    Xiaokang Zhou;Wei Liang;Jinhua She;Zheng Yan

  • An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics

    Qingchen Zhang;Laurence T. Yang;Zheng Yan;Zhikui Chen

  • Smart contract architecture for decentralized energy trading and management based on blockchains

    Dong Han;Chengzhenghao Zhang;Jian Ping;Zheng Yan

  • A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion

    Wenxiu Ding;Xuyang Jing;Zheng Yan;Laurence T. Yang

  • Security, Privacy and Anonymity in Computation, Communication and Storage

    Guojun Wang;Mohammed Atiquzzaman;Zheng Yan;Kim-Kwang Raymond Choo

  • Deduplication on Encrypted Big Data in Cloud

    Zheng Yan;Wenxiu Ding;Xixun Yu;Haiqi Zhu

  • A security and trust framework for virtualized networks and software-defined networking

    Zheng Yan;Zheng Yan;Peng Zhang;Athanasios V. Vasilakos

  • Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays

    Zhenyuan Guo;Zhenyuan Guo;Jun Wang;Zheng Yan

  • Model Predictive Control for Tracking of Underactuated Vessels Based on Recurrent Neural Networks

    Zheng Yan;Jun Wang

  • Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays

    Zhenyuan Guo;Jun Wang;Zheng Yan

  • A privacy-preserving cryptosystem for IoT E-healthcare

    Rafik Hamza;Rafik Hamza;Zheng Yan;Zheng Yan;Khan Muhammad;Paolo Bellavista

  • Data Collection for Security Measurement in Wireless Sensor Networks: A Survey

    Haomeng Xie;Zheng Yan;Zhen Yao;Mohammed Atiquzzaman

  • Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling

    Zhenyuan Guo;Jun Wang;Zheng Yan

  • Trust Modeling and Management: From Social Trust to Digital Trust

    Zheng Yan;Silke Holtmanns

  • Privacy preservation in permissionless blockchain: A survey

    Li Peng;Wei Feng;Zheng Yan;Zheng Yan;Yafeng Li

Frequent Co-Authors

Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Robert H. Deng
Robert H. Deng Singapore Management University
Shiping Wen
Shiping Wen University of Technology Sydney
Witold Pedrycz
Witold Pedrycz University of Alberta
Qinghua Zheng
Qinghua Zheng Xi'an Jiaotong University
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Jie Lu
Jie Lu University of Technology Sydney
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Guangquan Zhang
Guangquan Zhang University of Technology Sydney
Mohammed Atiquzzaman
Mohammed Atiquzzaman University of Oklahoma

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Electronics and Electrical Engineering opens doors to various career paths, and pursuing related online degrees can enhance your prospects. For those looking to complement their technical background with management skills, earning a project manager bachelor degree can be a strategic move. This prepares graduates for leadership roles in engineering projects and development teams.

Many working professionals benefit from accelerated online degrees, which offer flexible schedules and faster completion times. These programs are designed to balance education with ongoing career commitments, allowing students to upskill efficiently without lengthy breaks.

For those interested in transitioning into educational roles, exploring the best online master's for teaching can provide valuable expertise in instructional design and technology integration. This path is ideal for engineers passionate about mentoring and training future professionals.

Lastly, competency-based education is gaining traction in engineering fields. A what is a competency based masters degree program emphasizes mastering skills and knowledge at your own pace, making it a practical option for self-motivated students aiming to directly apply their learning to real-world challenges.

Best Scientists Citing Zheng Yan

Trending Scientists

Recently Published Articles