World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
43
Citations
6267
World Ranking
1745
National Ranking
665

Zheng O'Neill publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Zheng O'Neill sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 114 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Zheng O'Neill D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Zheng O'Neill sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 43 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Zheng O'Neill is affiliated with Texas A&M University in the United States. Their research is predominantly situated in the field of Engineering, focusing particularly on Building and Construction, Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, and Environmental Engineering as subfields.

The scientist's work covers several main topics, including:

  • Building Energy and Comfort Optimization
  • Smart Grid Energy Management
  • Infection Control and Ventilation
  • Refrigeration and Air Conditioning Technologies
  • Wind and Air Flow Studies
  • Facilities and Workplace Management
  • Modeling and Simulation Systems

Zheng O'Neill has authored numerous papers, contributing to a variety of journals and conferences. Recent papers include:

  • Grey-box modeling and application for building energy simulations - A critical review, 2021, Renewable and Sustainable Energy Reviews
  • Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons, 2020, Renewable Energy
  • Ten questions concerning occupant health in buildings during normal operations and extreme events including the COVID-19 pandemic, 2020, Building and Environment
  • A review of data-driven fault detection and diagnostics for building HVAC systems, 2023, Applied Energy
  • HVAC energy savings, thermal comfort and air quality for occupant-centric control through a side-by-side experimental study, 2021, Applied Energy

Frequent venues where Zheng O'Neill publishes include:

  • Energy and Buildings
  • SSRN Electronic Journal
  • Science and Technology for the Built Environment
  • Applied Energy
  • Building Simulation Conference proceedings

The scientist collaborates regularly with a core group of co-authors, among whom are:

  • Jin Wen
  • Zhihong Pang
  • Zhiyao Yang
  • Teresa Wu
  • Bing Dong

Best Publications

  • A methodology for meta-model based optimization in building energy models

    Bryan Eisenhower;Zheng O’Neill;Satish Narayanan;Vladimir A. Fonoberov

  • A review of smart building sensing system for better indoor environment control

    Bing Dong;Vishnu Prakash;Fan Feng;Zheng O'Neill

  • Grey-box modeling and application for building energy simulations - A critical review

    Yanfei Li;Zheng O'Neill;Liang Zhang;Jianli Chen

  • Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons

    Zhihong Pang;Zhihong Pang;Fuxin Niu;Fuxin Niu;Zheng O’Neill

  • An Optimal and Learning-Based Demand Response and Home Energy Management System

    Dong Zhang;Shuhui Li;Min Sun;Zheng O'Neill

  • A review of data-driven fault detection and diagnostics for building HVAC systems

    Unknown

  • Uncertainty and sensitivity decomposition of building energy models

    Bryan Eisenhower;Zheng O'Neill;Vladimir A. Fonoberov;Igor Mezić

  • Comparisons of inverse modeling approaches for predicting building energy performance

    Yuna Zhang;Zheng O'Neill;Bing Dong;Godfried Augenbroe

  • A BIM-enabled information infrastructure for building energy Fault Detection and Diagnostics

    Bing Dong;Zheng O'Neill;Zhengwei Li

  • The role of sensitivity analysis in the building performance analysis: A critical review

    Zhihong Pang;Zheng O'Neill;Yanfei Li;Yanfei Li;Fuxin Niu;Fuxin Niu

  • Integrating Home Energy Simulation and Dynamic Electricity Price for Demand Response Study

    Shuhui Li;Dong Zhang;Adam B. Roget;Zheng O'Neill

  • A critical review of fault modeling of HVAC systems in buildings

    Yanfei Li;Zheng O’Neill

  • HVAC energy savings, thermal comfort and air quality for occupant-centric control through a side-by-side experimental study

    Meng Kong;Meng Kong;Bing Dong;Rongpeng Zhang;Zheng O'Neill

  • Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems

    Biao Sun;Peter B. Luh;Qing-Shan Jia;Zheng O'Neill

  • Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates

    Zhihong Pang;Yan Chen;Jian Zhang;Zheng O'Neill

  • Evaluation of “Autotune” calibration against manual calibration of building energy models

    Gaurav Chaudhary;Joshua New;Jibonananda Sanyal;Piljae Im

  • Leveraging the analysis of parametric uncertainty for building energy model calibration

    Zheng O’Neill;Bryan Eisenhower

  • A review of leakage detection methods for district heating networks

    Shoujun Zhou;Zheng O'Neill;Charles O'Neill

  • Uncertainty and sensitivity analysis of spatio-temporal occupant behaviors on residential building energy usage utilizing Karhunen-Loève expansion

    Zheng O'Neill;Fuxin Niu

  • Model-based real-time whole building energy performance monitoring and diagnostics

    Zheng O'Neill;Xiufeng Pang;Madhusudana Shashanka;Philip Haves

  • MODEL-BASED THERMAL LOAD ESTIMATION IN BUILDINGS

    Zheng O'Neill;Satish Narayanan;Rohini Brahme

  • How much HVAC energy could be saved from the occupant-centric smart home thermostat: A nationwide simulation study

    Zhihong Pang;Yan Chen;Jian Zhang;Zheng O'Neill

  • A novel simulation-based framework for sensor error impact analysis in smart building systems: A case study for a demand-controlled ventilation system

    Xing Lu;Zheng O'Neill;Yanfei Li;Yanfei Li;Fuxin Niu;Fuxin Niu

  • Energy Savings and Ventilation Performance from CO2-Based Demand Controlled Ventilation: Simulation Results from ASHRAE RP-1747 (ASHRAE RP-1747)

    Zheng D. O'Neill;Yanfei Li;Hwakong C. Cheng;Xiaohui Zhou

  • One for Many: Transfer Learning for Building HVAC Control

    Shichao Xu;Yixuan Wang;Yanzhi Wang;Zheng O'Neill

  • Simulation and experimental demonstration of model predictive control in a building HVAC system

    Pengfei Li;Draguna Vrabie;Dapeng Li;Sorin C. Bengea

  • HVAC control loop performance assessment: A critical review (1587-RP)

    Zheng O’Neill;Yanfei Li;Keith Williams

  • A flexible and generic functional mock-up unit based threat injection framework for grid-interactive efficient buildings: A case study in Modelica

    Yangyang Fu;Zheng O’Neill;Veronica Adetola

  • Data-driven based estimation of HVAC energy consumption using an improved Fourier series decomposition in buildings

    Fuxin Niu;Zheng O’Neill;Charles O’Neill

  • Building energy doctors: SPC and Kalman filter-based fault detection

    Biao Sun;Peter B. Luh;Zheng O'Neill;Fangting Song

  • Model-based estimation of cold room temperatures in a supermarket refrigeration system

    Zheng O'Neill;Satish Narayanan

  • Energy and ventilation performance analysis for CO2-based demand-controlled ventilation in multiple-zone VAV systems with fan-powered terminal units (ASHRAE RP-1819)

    Xing Lu;Tao Yang;Zheng O’Neill;Xiaohui Zhou

  • RESEARCH ARTICLE Uncertainty and Sensitivity Decomposition of Building Energy Models

    Bryan Eisenhower;Zheng O'Neill;Vladimir A. Fonoberov;Igor Mezic

Frequent Co-Authors

Bing Dong
Bing Dong Syracuse University
Igor Mezic
Igor Mezic University of California, Santa Barbara
Fei Hu
Fei Hu University of Alabama
Peter B. Luh
Peter B. Luh University of Connecticut
Teresa Wu
Teresa Wu Arizona State University
Burcin Becerik-Gerber
Burcin Becerik-Gerber University of Southern California
Michael Wetter
Michael Wetter Lawrence Berkeley National Laboratory
Godfried Augenbroe
Godfried Augenbroe Georgia Institute of Technology
Shuhui Li
Shuhui Li University of Alabama
Yanzhi Wang
Yanzhi Wang Northeastern University

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