World's Best Scientists 2026 revealed!
Duane S. Boning

Duane S. Boning

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
7249
World Ranking
3593
National Ranking
1319

Duane S. Boning 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 Duane S. Boning 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: 256 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Duane S. Boning 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 Duane S. Boning 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: 45 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2005 - IEEE Fellow For contributions to modeling and control in semiconductor manufacturing.

Overview

Duane S. Boning is affiliated with MIT in the United States and has a research portfolio spanning engineering and computer science with a focus on electrical and electronic engineering as well as artificial intelligence. Their work crosses several subfields including biomedical engineering, statistics, probability and uncertainty, and signal processing.

The primary topics addressed in their research include:

  • Photonic and Optical Devices
  • Optical Network Technologies
  • Neural Networks and Reservoir Computing
  • Anomaly Detection Techniques and Applications
  • Semiconductor Lasers and Optical Devices
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Data Classification

Boning's collaborations involve frequent coauthors such as Zhengqi Gao, Zhengxing Zhang, Fan-Keng Sun, Uttara Chakraborty, and Wim Bogaerts.

The main publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Transactions on Semiconductor Manufacturing
  • Journal of Lightwave Technology
  • Optics Express
  • Conference on Lasers and Electro-Optics

Notable recent papers include:

  • Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations, 2020, arXiv (Cornell University)
  • Robust Reinforcement Learning on State Observations with Learned Optimal Adversary, 2021, arXiv (Cornell University)
  • Variational Quantum Pulse Learning, 2022, 2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
  • One Class Process Anomaly Detection Using Kernel Density Estimation Methods, 2022, IEEE Transactions on Semiconductor Manufacturing

Duane S. Boning was awarded the IEEE Fellow in 2005 for contributions to modeling and control in semiconductor manufacturing.

Best Publications

  • Towards Fast Computation of Certified Robustness for ReLU Networks

    Tsui-Wei Weng;Huan Zhang;Hongge Chen;Zhao Song

  • Analysis and decomposition of spatial variation in integrated circuit processes and devices

    B.E. Stine;D.S. Boning;J.E. Chung

  • Design for Manufacturability and Statistical Design: A Constructive Approach

    Michael Orshansky;Sani Nassif;Duane Boning

  • A self-tuning EWMA controller utilizing artificial neural network function approximation techniques

    T.H. Smith;D.S. Boning

  • The physical and electrical effects of metal-fill patterning practices for oxide chemical-mechanical polishing processes

    B.E. Stine;D.S. Boning;J.E. Chung;L. Camilletti

  • Run by run control of chemical-mechanical polishing

    D. Boning;W. Moyne;T. Smith;J. Moyne

  • Towards Stable and Efficient Training of Verifiably Robust Neural Networks

    Huan Zhang;Hongge Chen;Chaowei Xiao;Sven Gowal

  • Characterization and modeling of oxide chemical-mechanical polishing using planarization length and pattern density concepts

    D.O. Ouma;D.S. Boning;J.E. Chung;W.G. Easter

  • Rapid characterization and modeling of pattern-dependent variation in chemical-mechanical polishing

    B.E. Stine;D.O. Ouma;R.R. Divecha;D.S. Boning

  • A methodology for modeling the effects of systematic within-die interconnect and device variation on circuit performance

    Vikas Mehrotra;Shiou Lin Sam;Duane Boning;Anantha Chandrakasan

  • Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

    Huan Zhang;Hongge Chen;Chaowei Xiao;Bo Li

  • DOE/Opt: a system for design of experiments, response surface modeling, and optimization using process and device simulation

    D.S. Boning;P.K. Mozumder

  • An integrated characterization and modeling methodology for CMP dielectric planarization

    D. Ouma;D. Boning;J. Chung;G. Shin

  • The Limitations of Adversarial Training and the Blind-Spot Attack

    Huan Zhang;Hongge Chen;Zhao Song;Duane S. Boning

  • Technology scaling impact of variation on clock skew and interconnect delay

    V. Mehrotra;D. Boning

  • Run by run advanced process control of metal sputter deposition

    T.H. Smith;D.S. Boning;J. Stefani;S.W. Butler

  • Simultaneous Fault Detection and Classification for Semiconductor Manufacturing Tools

    Brian E. Goodlin;Duane S. Boning;Herbert H. Sawin;Barry M. Wise

  • Low open-area endpoint detection using a PCA-based T/sup 2/ statistic and Q statistic on optical emission spectroscopy measurements

    D.A. White;B.E. Goodlin;A.E. Gower;D.S. Boning

  • Spatial characterization of wafer state using principal component analysis of optical emission spectra in plasma etch

    D.A. White;D. Boning;S.W. Butler;G.G. Barna

  • Modeling the effects of manufacturing variation on high-speed microprocessor interconnect performance

    Unknown

  • Robust Decision Trees Against Adversarial Examples.

    Hongge Chen;Huan Zhang;Duane S. Boning;Cho-Jui Hsieh

Frequent Co-Authors

Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Huan Zhang
Huan Zhang University of California, Los Angeles
Yee Cheong Lam
Yee Cheong Lam Nanyang Technological University
Rob A. Rutenbar
Rob A. Rutenbar University of Pittsburgh
Zhao Song
Zhao Song Adobe Systems (United States)
Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)

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

Pursuing a degree in Electronics and Electrical Engineering opens doors to various flexible education options. Many students prefer a competency based masters degree, which focuses on mastering essential skills rather than time spent in class, allowing for accelerated progression and personalized learning.

For military spouses and dependents seeking quality education, finding institutions recognized as the best online colleges for military spouses ensures access to supportive programs tailored for their unique circumstances and schedules.

Flexibility in start dates is another crucial factor, with many students benefiting from online schools with multiple start dates. These options enable learners to begin coursework at times that best fit their personal and professional commitments.

Additionally, short-term education paths like 6-month certificate programs that pay well can provide targeted skills for quick entry or advancement in the electronics and electrical engineering job market, offering a practical route to boost earning potential.

Best Scientists Citing Duane S. Boning

Trending Scientists

Recently Published Articles