World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
76
Citations
18865
World Ranking
719
National Ranking
124

Ning Zhang 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 Ning Zhang 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: 487 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Ning Zhang 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 Ning Zhang 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: 76 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Ning Zhang is affiliated with Tsinghua University in China and has an extensive publication record in the fields of environmental science and economics. Their research predominantly spans topics related to energy, environment, and economic growth, focusing on environmental impact, sustainability, and climate change policy and economics.

The scientist has contributed to several recent papers, including:

  • Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic (2020), published in Nature Communications
  • Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China (2021), published in Energy Economics
  • Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic (2020), published in Nature Communications
  • A Review on Oil/Water Mixture Separation Material (2020), published in Industrial & Engineering Chemistry Research
  • The influences of incentive policy perceptions and consumer social attributes on battery electric vehicle purchase intentions (2021), published in Energy Policy

Their frequent co-authors include Kuishuang Feng, Dabo Guan, Jiashuo Li, Xuhui Huang, and Yu Zhao, indicating collaboration in a sustained research network.

Publication venues where Ning Zhang frequently publishes reflect a focus on energy and environmental sciences, including:

  • SSRN Electronic Journal
  • Energy Economics
  • The Science of The Total Environment
  • Journal of Cleaner Production
  • arXiv (Cornell University)

Their main fields of study are:

  • Environmental Science
  • Economics, Econometrics and Finance

Within these, subfields of study include:

  • Economics and Econometrics
  • Health, Toxicology and Mutagenesis
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Pollution

Ning Zhang's research covers several key topics relevant to current challenges in environment and policy, such as:

  • Energy, Environment, Economic Growth
  • Environmental Impact and Sustainability
  • Climate Change Policy and Economics
  • Energy, Environment, and Transportation Policies
  • Air Quality and Health Impacts
  • Fiscal Policy and Economic Growth
  • Energy and Environment Impacts

Best Publications

  • Cost increase in the electricity supply to achieve carbon neutrality in China

    Unknown

  • Probabilistic individual load forecasting using pinball loss guided LSTM

    Yi Wang;Dahua Gan;Mingyang Sun;Ning Zhang

  • Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices

    Yaohua Cheng;Ning Zhang;Baosen Zhang;Chongqing Kang

  • Key technologies and developing challenges of power system with high proportion of renewable energy

    Unknown

  • A State-Independent Linear Power Flow Model with Accurate Estimation of Voltage Magnitude

    Jingwei Yang;Ning Zhang;Chongqing Kang;Qing Xia

  • Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy

    Wujing Huang;Ning Zhang;Jingwei Yang;Yi Wang

  • Modeling Carbon Emission Flow in Multiple Energy Systems

    Yaohua Cheng;Ning Zhang;Yi Wang;Jingwei Yang

  • Data-Driven Probabilistic Net Load Forecasting With High Penetration of Behind-the-Meter PV

    Yi Wang;Ning Zhang;Qixin Chen;Daniel S. Kirschen

  • From demand response to integrated demand response: review and prospect of research and application

    Wujing Huang;Ning Zhang;Chongqing Kang;Mingxuan Li

  • The Role of Concentrating Solar Power Toward High Renewable Energy Penetrated Power Systems

    Ershun Du;Ning Zhang;Bri-Mathias Hodge;Qin Wang

  • Modeling Frequency Dynamics in Unit Commitment With a High Share of Renewable Energy

    Ziyang Zhang;Ershun Du;Fei Teng;Ning Zhang

  • Modeling Conditional Forecast Error for Wind Power in Generation Scheduling

    Ning Zhang;Chongqing Kang;Qing Xia;Ji Liang

  • Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch

    Yi Wang;Ning Zhang;Zhenyu Zhuo;Chongqing Kang

  • Cloud energy storage for residential and small commercial consumers: A business case study

    Jingkun Liu;Jingkun Liu;Ning Zhang;Chongqing Kang;Daniel Kirschen

  • Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage

    Ning Zhang;Xi Lu;Xi Lu;Michael B. McElroy;Chris P. Nielsen

  • Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China

    Qingchun Hou;Ning Zhang;Ershun Du;Miao Miao

  • Standardized Matrix Modeling of Multiple Energy Systems

    Yi Wang;Ning Zhang;Chongqing Kang;Daniel S. Kirschen

  • Combining Probabilistic Load Forecasts

    Yi Wang;Ning Zhang;Yushi Tan;Tao Hong

  • A Short-Term Wind Power Forecasting Approach With Adjustment of Numerical Weather Prediction Input by Data Mining

    Qianyao Xu;Dawei He;Ning Zhang;Chongqing Kang

  • Data-Driven Power Flow Linearization: A Regression Approach

    Yuxiao Liu;Ning Zhang;Yi Wang;Jingwei Yang

  • Robust Two-Stage Regional-District Scheduling of Multi-carrier Energy Systems With a Large Penetration of Wind Power

    Mingyu Yan;Ning Zhang;Xiaomeng Ai;Mohammad Shahidehpour

  • Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method

    Jiawei Zhang;Yi Wang;Yang Weng;Ning Zhang

  • A General Formulation of Linear Power Flow Models: Basic Theory and Error Analysis

    Zhifang Yang;Kaigui Xie;Juan Yu;Haiwang Zhong

  • A risk-management strategy for PCB-contaminated sediments

    Unknown

Frequent Co-Authors

Chongqing Kang
Chongqing Kang Tsinghua University
Qing Xia
Qing Xia Tsinghua University
Hui Hu
Hui Hu Iowa State University
Yongrok Choi
Yongrok Choi Inha University
Liang Dong
Liang Dong City University of Hong Kong
Dabo Guan
Dabo Guan Tsinghua University
Daniel S. Kirschen
Daniel S. Kirschen University of Washington
Zhu Liu
Zhu Liu Tsinghua University
Liming Ding
Liming Ding National Center for Nanoscience and Technology, China

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