World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
4838
World Ranking
5594
National Ranking
1915

Kevin P. Chen 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 Kevin P. Chen 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: 211 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Kevin P. Chen 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 Kevin P. Chen 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: 35 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Overview

Kevin P. Chen is affiliated with the University of Pittsburgh in the United States and has a significant presence in the fields of Engineering and Physics and Astronomy. Their research mainly focuses on Electrical and Electronic Engineering, Atomic and Molecular Physics and Optics, Biomedical Engineering, Computational Mechanics, and Mechanics of Materials.

Their main research topics include advanced fiber optic sensors, photonic and optical devices, advanced fiber laser technologies, semiconductor lasers and optical devices, laser material processing techniques, topological materials and phenomena, and gas sensing nanomaterials and sensors.

Frequent publication venues for Kevin P. Chen include the 27th International Conference on Optical Fiber Sensors, Conference on Lasers and Electro-Optics, IEEE Sensors Journal, Journal of Lightwave Technology, and Optics Express.

Kevin P. Chen has collaborated extensively, with frequent co-authors such as Kehao Zhao, Mohan Wang, Qirui Wang, Sheng Huang, and Jingyu Wu.

Recent notable papers include:

  • Recent Advances in Machine Learning for Fiber Optic Sensor Applications, 2021, Advanced Intelligent Systems
  • Thouless pumping in disordered photonic systems, 2020, Light Science & Applications
  • Distributed fiber sensor and machine learning data analytics for pipeline protection against extrinsic intrusions and intrinsic corrosions, 2020, Optics Express
  • Metal-organic framework functionalized polymer coating for fiber optical methane sensors, 2020, Sensors and Actuators B Chemical
  • Real-Time Optical Fiber-Based Distributed Temperature Monitoring of Insulation Oil-Immersed Commercial Distribution Power Transformer, 2020, IEEE Sensors Journal

Best Publications

  • Topological protection of photonic mid-gap defect modes

    Jiho Noh;Wladimir A. Benalcazar;Sheng Huang;Matthew J. Collins

  • Photonic topological boundary pumping as a probe of 4D quantum Hall physics

    Oded Zilberberg;Sheng Huang;Jonathan Guglielmon;Mohan Wang

  • Observation of Photonic Topological Valley Hall Edge States

    Jiho Noh;Sheng Huang;Kevin P. Chen;Mikael C. Rechtsman

  • Topological protection of photonic mid-gap cavity modes

    Jiho Noh;Wladimir A. Benalcazar;Sheng Huang;Matthew J. Collins

  • Experimental observation of optical Weyl points and Fermi arc-like surface states

    Jiho Noh;Sheng Huang;Daniel Leykam;Y. D. Chong

  • Experimental realization of a Weyl exceptional ring

    Alexander Cerjan;Sheng Huang;Mohan Wang;Kevin P. Chen

  • Laser shaping of photonic materials: deep-ultraviolet and ultrafast lasers

    P.R Herman;R.S Marjoribanks;A Oettl;K Chen

  • Recent Advances in Machine Learning for Fiber Optic Sensor Applications

    Abhishek Venketeswaran;Nageswara Lalam;Jeffrey Wuenschell;P. R. Ohodnicki

  • Experimental realization of a Weyl exceptional ring

    Alexander Cerjan;Sheng Huang;Kevin P. Chen;Yidong Chong

  • Ultrafast femtosecond-laser-induced fiber Bragg gratings in air-hole microstructured fibers for high-temperature pressure sensing.

    Charles M. Jewart;Qingqing Wang;John Canning;Dan Grobnic

  • Distributed Optical Fiber Sensors with Ultrafast Laser Enhanced Rayleigh Backscattering Profiles for Real-Time Monitoring of Solid Oxide Fuel Cell Operations

    Aidong Yan;Sheng Huang;Shuo Li;Rongzhang Chen

  • All-fiber ultrafast thulium-doped fiber ring laser with dissipative soliton and noise-like output in normal dispersion by single-wall carbon nanotubes

    QingQing Wang;Tong Chen;Mingshan Li;Botao Zhang

  • All-fiber passively mode-locked thulium-doped fiber ring laser using optically deposited graphene saturable absorbers

    QingQing Wang;Tong Chen;Botao Zhang;Mingshan Li

  • Enhanced spontaneous Raman scattering and gas composition analysis using a photonic crystal fiber

    Michael P. Buric;Kevin P. Chen;Joel Falk;Steven D. Woodruff

  • Thouless pumping in disordered photonic systems.

    Alexander Cerjan;Mohan Wang;Sheng Huang;Kevin P. Chen

  • Active Fiber Bragg Grating Hydrogen Sensors for All-Temperature Operation

    M. Buric;K.P. Chen;M. Bhattarai;P.R. Swinehart

  • All-fiber passively mode-locked thulium-doped fiber ring oscillator operated at solitary and noiselike modes.

    Q Wang;T Chen;B Zhang;A P Heberle

  • Distributed fiber sensor and machine learning data analytics for pipeline protection against extrinsic intrusions and intrinsic corrosions

    Zhaoqiang Peng;Jianan Jian;Hongqiao Wen;Andrei Gribok

  • Fiber Bragg grating flow sensors powered by in-fiber light

    L.J. Cashdollar;K.P. Chen

  • Improved sensitivity gas detection by spontaneous Raman scattering.

    Michael P. Buric;Kevin P. Chen;Joel Falk;Steven D. Woodruff

  • Metal-organic framework functionalized polymer coating for fiber optical methane sensors

    Rongtao Cao;Hangjun Ding;Ki-Joong Kim;Zhaoqiang Peng

  • Sensitivity enhancement of fiber Bragg gratings to transverse stress by using microstructural fibers

    Charles Jewart;Kevin P. Chen;Ben McMillen;Michael M. Bails

  • Regenerated gratings in air-hole microstructured fibers for high-temperature pressure sensing

    Tong Chen;Rongzhang Chen;Charles Jewart;Botao Zhang

  • Design of a highly-birefringent microstructured photonic crystal fiber for pressure monitoring

    Charles M Jewart;Sully Mejía Quintero;Arthur M B Braga;Kevin P Chen

  • Real-Time Optical Fiber-Based Distributed Temperature Monitoring of Insulation Oil-Immersed Commercial Distribution Power Transformer

    Mudabbir Badar;Ping Lu;Qirui Wang;Thomas Boyer

  • Radiation resistant fiber Bragg grating in random air-line fibers for sensing applications in nuclear reactor cores.

    Mohamed A S Zaghloul;Mohan Wang;Sheng Huang;Cyril Hnatovsky

  • Femtosecond laser fabrication of nanograting-based distributed fiber sensors for extreme environmental applications

    Mohan Wang;Kehao Zhao;Jingyu Wu;Yuqi Li

  • Fabrication of strong long-period gratings in hydrogen-free fibers with 157-nm F 2 -laser radiation

    Kevin P. Chen;Peter R. Herman;Jie Zhang;Robin Tam

  • Fiber-optic flow sensors for high-temperature environment operation up to 800°C

    Rongzhang Chen;Aidong Yan;Qingqing Wang;Kevin P Chen

  • Distributed high-temperature pressure sensing using air-hole microstructural fibers

    Tong Chen;Qingqing Wang;Rongzhang Chen;Botao Zhang

  • Thouless Pumping in Disordered Photonic Systems

    Alexander Cerjan;Sheng Huang;Mohan Wang;Kevin P. Chen

Frequent Co-Authors

Paul R. Ohodnicki
Paul R. Ohodnicki University of Pittsburgh
Ming-Jun Li
Ming-Jun Li Corning (United States)
Yongfeng Lu
Yongfeng Lu University of Nebraska–Lincoln
Karen Lozano
Karen Lozano The University of Texas at Austin
Ping Lu
Ping Lu Leidos (United States)
John Canning
John Canning University of Technology Sydney
Stephen J. Mihailov
Stephen J. Mihailov National Academies of Sciences, Engineering, and Medicine
Daniel Jaque
Daniel Jaque Autonomous University of Madrid
Albert C. To
Albert C. To University of Pittsburgh

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Additionally, an instructional design degree online is an excellent choice for engineers interested in developing educational technologies or training content, combining technical expertise with pedagogy to enhance learning experiences in STEM fields.

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