World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
68
Citations
23909
World Ranking
992
National Ranking
173

Computer Science

D-Index
68
Citations
24101
World Ranking
2051
National Ranking
283

Jiafu Wan 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 Jiafu Wan 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: 180 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Jiafu Wan 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 Jiafu Wan 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

Jiafu Wan is affiliated with South China University of Technology in China, contributing to research across engineering and computer science disciplines. The main fields of study associated with their work include Engineering and Computer Science, with a focus on several subfields such as Industrial and Manufacturing Engineering, Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, and Artificial Intelligence.

Their research encompasses a range of topics, prominently featuring:

  • Digital Transformation in Industry
  • Machine Fault Diagnosis Techniques
  • IoT and Edge/Fog Computing
  • Manufacturing Process and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Fault Detection and Control Systems
  • Gear and Bearing Dynamics Analysis

Jiafu Wan has a consistent publication record in several academic venues. Notable frequent publication venues include:

  • IEEE Access
  • IEEE Transactions on Industrial Informatics
  • IEEE/ASME Transactions on Mechatronics
  • Advanced Engineering Informatics
  • Sensors

Frequent collaborators in Jiafu Wan's work include Jinbiao Tan, Jianhua Shi, Baotong Chen, Shiyong Wang, and Mejdl Safran, indicating an active research network.

Some recent papers authored or co-authored by Jiafu Wan cover topics related to fault diagnosis and machinery systems, including:

  • Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images, 2020, IEEE Transactions on Industrial Informatics
  • Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain, 2022, IEEE/ASME Transactions on Mechatronics
  • Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation, 2023, IEEE Transactions on Industrial Informatics
  • Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery, 2021, IEEE/ASME Transactions on Mechatronics
  • Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer, 2023, Journal of Manufacturing Systems

Best Publications

  • Implementing smart factory of Industrie 4.0: an outlook

    Shiyong Wang;Jiafu Wan;Di Li;Chunhua Zhang

  • Towards smart factory for industry 4.0

    Shiyong Wang;Jiafu Wan;Daqiang Zhang;Di Li

  • Security of the Internet of Things: perspectives and challenges

    Qi Jing;Athanasios V. Vasilakos;Jiafu Wan;Jingwei Lu

  • Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

    Baotong Chen;Jiafu Wan;Lei Shu;Peng Li

  • Security in the Internet of Things: A Review

    Hui Suo;Jiafu Wan;Caifeng Zou;Jianqi Liu

  • Software-Defined Industrial Internet of Things in the Context of Industry 4.0

    Jiafu Wan;Shenglong Tang;Zhaogang Shu;Di Li

  • A survey of Cyber-Physical Systems

    Jianhua Shi;Jiafu Wan;Hehua Yan;Hui Suo

  • Data mining for the Internet of Things: literature review and challenges

    Feng Chen;Pan Deng;Jiafu Wan;Daqiang Zhang

  • A review of industrial wireless networks in the context of Industry 4.0

    Xiaomin Li;Di Li;Jiafu Wan;Athanasios V. Vasilakos

  • Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies

    Hong-Ning Dai;Hao Wang;Guangquan Xu;Jiafu Wan

  • A Manufacturing Big Data Solution for Active Preventive Maintenance

    Jiafu Wan;Shenglong Tang;Di Li;Shiyong Wang

  • Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images

    Haidong Shao;Min Xia;Guangjie Han;Yu Zhang

  • Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions

    Jiafu Wan;Daqiang Zhang;Shengjie Zhao;Laurence T. Yang

  • Machine-to-Machine Communications: Architectures, Standards and Applications

    Min Chen;Jiafu Wan;Fang Li

  • A Scalable and Quick-Response Software Defined Vehicular Network Assisted by Mobile Edge Computing

    Jianqi Liu;Jiafu Wan;Bi Zeng;Qinruo Wang

  • A Blockchain-Based Solution for Enhancing Security and Privacy in Smart Factory

    Jiafu Wan;Jiapeng Li;Muhammad Imran;Di Li

  • Artificial-Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges

    Jiafu Wan;Xiaomin Li;Hong-Ning Dai;Andrew Kusiak

  • Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory

    Jiafu Wan;Baotong Chen;Shiyong Wang;Min Xia

  • A Survey of Recent Developments in Home M2M Networks

    Min Chen;Jiafu Wan;Sergio Gonzalez;Xiaofei Liao

  • Cloud-enabled wireless body area networks for pervasive healthcare

    Jiafu Wan;Caifeng Zou;Sana Ullah;Chin-Feng Lai

  • A survey on position-based routing for vehicular ad hoc networks

    Jianqi Liu;Jiafu Wan;Qinruo Wang;Pan Deng

Frequent Co-Authors

Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Antonio Celesti
Antonio Celesti University of Messina
Min Chen
Min Chen South China University of Technology
Chengliang Liu
Chengliang Liu Shanghai Jiao Tong University
Houbing Song
Houbing Song University of Maryland, Baltimore County
Chin-Feng Lai
Chin-Feng Lai National Cheng Kung University
Jaime Lloret
Jaime Lloret Universitat Politècnica de València
Feng Xia
Feng Xia RMIT University
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Mohammad Mehedi Hassan
Mohammad Mehedi Hassan King Saud University

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Related Online Degrees & Career Pathways

Studying Electronics and Electrical Engineering in the USA opens numerous pathways, both academic and professional. Many students benefit from flexible scheduling options, such as those offered by online colleges with weekly start dates. This flexibility allows learners to begin their studies at convenient times, fitting education seamlessly into busy lives.

For those looking for quicker entry into the workforce, short term certificate programs can provide focused training and skills relevant to electronics and electrical fields. These programs often lead to well-paying jobs faster than traditional degrees.

Supportive educational environments also matter. Many institutions now cater specifically to non-traditional students, including military families. Resources like online school for military spouses help address unique challenges, offering tailored support and community.

Career options within this field can suit a variety of personalities. For those who prefer quieter, more focused work, there are many careers for introverts in engineering that emphasize individual problem-solving and innovation over large team interactions.

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