World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
54
Citations
11527
World Ranking
3173
National Ranking
649

Fang Fang publication distribution in Engineering and Technology in 2026

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

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 220 publications — 55th percentile

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

The last bar groups every scientist with 804 publications or more.

Fang Fang D-index placement in Engineering and Technology in 2026

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

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Fang Fang is affiliated with North China Electric Power University in China and has contributed extensively to the fields of Engineering and Computer Science, with a distinct focus on Electrical and Electronic Engineering and Computer Networks and Communications. Their work spans a wide range of specialized subfields including Aerospace Engineering, Artificial Intelligence, and Information Systems.

Their research topics cover advanced technologies in wireless communication and network optimization. Key areas of work include:

  • Advanced Wireless Communication Technologies
  • Optical Wireless Communication Technologies
  • IoT and Edge/Fog Computing
  • Satellite Communication Systems
  • IoT Networks and Protocols
  • UAV Applications and Optimization
  • Advanced MIMO Systems Optimization

Fang Fang has published in several prominent venues where they have a consistent presence. Their frequent publication outlets are:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Communications
  • IEEE Transactions on Wireless Communications
  • IEEE Internet of Things Journal

Coauthorship is a significant aspect of their scholarly activities. Frequent collaborators include:

  • Zhiguo Ding
  • Xianbin Wang
  • Donghong Cai
  • Yanqing Xu
  • Quoc-Viet Pham

Representative recent papers from Fang Fang reflect their research focus and publication history:

  • A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art, 2020, IEEE Access
  • A survey on blockchain for big data: Approaches, opportunities, and future directions, 2022, Future Generation Computer Systems
  • Energy-Efficient Design of IRS-NOMA Networks, 2020, IEEE Transactions on Vehicular Technology
  • Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks, 2020, IEEE Transactions on Communications
  • A State-of-the-Art Survey on Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access Networks, 2022, Proceedings of the IEEE

Best Publications

  • Implementation of machine-learning classification in remote sensing: an applied review

    Aaron E. Maxwell;Timothy A. Warner;Fang Fang

  • A survey of multi-access edge computing in 5G and beyond : fundamentals, technology integration, and state-of-the-art.

    Quoc Viet Pham;Fang Fang;Vu Nguyen Ha;Md. Jalil Piran

  • Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network

    Fang Fang;Haijun Zhang;Julian Cheng;Victor C. M. Leung

  • A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions.

    Natarajan Deepa;Quoc-Viet Pham;Dinh C. Nguyen;Sweta Bhattacharya

  • Combined cooling, heating and power systems: A survey

    Mingxi Liu;Yang Shi;Fang Fang

  • Joint User Scheduling and Power Allocation Optimization for Energy-Efficient NOMA Systems With Imperfect CSI

    Fang Fang;Haijun Zhang;Julian Cheng;Sebastien Roy

  • Energy-Efficient Design of IRS-NOMA Networks

    Fang Fang;Yanqing Xu;Quoc-Viet Pham;Zhiguo Ding

  • Uncertainties of virtual power plant: Problems and countermeasures

    Songyuan Yu;Fang Fang;Yajuan Liu;Jizhen Liu

  • Interplay Between NOMA and Other Emerging Technologies: A Survey

    Mojtaba Vaezi;Gayan Amarasuriya Aruma Baduge;Yuanwei Liu;Ahmed Arafa

  • A new operation strategy for CCHP systems with hybrid chillers

    Mingxi Liu;Yang Shi;Fang Fang;Fang Fang

  • A Novel Optimal Operational Strategy for the CCHP System Based on Two Operating Modes

    Fang Fang;Q. H. Wang;Yang Shi

  • Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks

    Fang Fang;Yanqing Xu;Zhiguo Ding;Chao Shen

  • Energy-Efficient Resource Allocation in NOMA Heterogeneous Networks

    Haijun Zhang;Fang Fang;Julian Cheng;Keping Long

  • Joint Energy Efficient Subchannel and Power Optimization for a Downlink NOMA Heterogeneous Network

    Fang Fang;Julian Cheng;Zhiguo Ding

  • Dynamic modeling and multivariable control of organic Rankine cycles in waste heat utilizing processes

    Jianhua Zhang;Wenfang Zhang;Guolian Hou;Fang Fang

  • Measurement of the Cosmic Ray Helium Energy Spectrum from 70 GeV to 80 TeV with the DAMPE Space Mission

    F Alemanno;Q An;P Azzarello;F C T Barbato

  • Generalized predictive control applied in waste heat recovery power plants

    Jianhua Zhang;Yeli Zhou;Ying Li;Guolian Hou

  • Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach

    Mingxi Liu;Mingxi Liu;Yang Shi;Fang Fang;Fang Fang

  • Tuning of PID controllers for boiler-turbine units

    Wen Tan;Jizhen Liu;Fang Fang;Yanqiao Chen

  • Zoonotic Vectorborne Pathogens and Ectoparasites of Dogs and Cats in Eastern and Southeast Asia.

    Vito Colella;Viet L Nguyen;Do Y Tan;Na Lu

  • Measurement of the cosmic-ray proton spectrum from 40 GeV to 100 TeV with the DAMPE satellite.

    Q. An;R. Asfandiyarov;P. Azzarello;P. Bernardini

Frequent Co-Authors

Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Jacques Guillot
Jacques Guillot École nationale vétérinaire d'Alfort
Yang Shi
Yang Shi University of Victoria
Haijun Zhang
Haijun Zhang University of Science and Technology Beijing
Julian Cheng
Julian Cheng University of British Columbia
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Olivier Chosidow
Olivier Chosidow Université Paris Cité
Ju H. Park
Ju H. Park Yeungnam University
Frederic Beugnet
Frederic Beugnet Boehringer Ingelheim (Germany)
Anne Lespine
Anne Lespine Federal University of Toulouse Midi-Pyrénées

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