World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 43 1745 1619 665 581 114 6267

Zheng O'Neill publications per year

The chart shows the history of publications by Zheng O'Neill between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zheng O'Neill published across 20 years, from 2006 to 2025, averaging 10.7 papers a year. Output peaked at 35 publications in 2024. 69 of the 213 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 35. Peak 35 publications in 2024. 2006: 1 publication 2007: 0 publications 2008: 1 publication 2009: 1 publication 2010: 2 publications 2011: 4 publications 2012: 5 publications 2013: 6 publications 2014: 7 publications 2015: 6 publications 2016: 7 publications 2017: 5 publications 2018: 7 publications 2019: 8 publications 2020: 11 publications 2021: 28 publications 2022: 19 publications 2023: 26 publications 2024: 35 publications 2025: 34 publications
2006 2025

213 publications in total across all disciplines

View publications per year as a table
Zheng O'Neill: publications per year, 2006 to 2025
Year Publications
2006 1
2007 0
2008 1
2009 1
2010 2
2011 4
2012 5
2013 6
2014 7
2015 6
2016 7
2017 5
2018 7
2019 8
2020 11
2021 28
2022 19
2023 26
2024 35
2025 34
Total 213
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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.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 107–116 publications, is where this scientist sits. 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
47–56 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.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113 114
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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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.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 43 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101 43
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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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

  • 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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