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Engineering and Technology
China
2025

D-Index & Metrics

Engineering and Technology

D-Index
76
Citations
20951
World Ranking
709
National Ranking
120

Xia Li 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 Xia Li 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: 234 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Xia Li 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 Xia Li 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.

Research.com Recognitions

  • 2025 - Research.com Engineering and Technology in China Leader Award

Overview

Xia Li is affiliated with East China Normal University in China. Their research primarily spans the field of Environmental Science, with a particular focus on the subfields of Global and Planetary Change, Environmental Engineering, Materials Chemistry, Ecology, and Atmospheric Science.

The main topics Xia Li has contributed to include:

  • Land Use and Ecosystem Services
  • Impact of Light on Environment and Health
  • Urban Heat Island Mitigation
  • Urban Transport and Accessibility
  • Urban Green Space and Health
  • Remote Sensing in Agriculture
  • Antibiotic Resistance in Bacteria

Xia Li has published extensively, with notable papers such as:

  • High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015, 2020, Nature Sustainability
  • Global projections of future urban land expansion under shared socioeconomic pathways, 2020, Nature Communications
  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data, 2020, Environmental Research Letters
  • Projections of land use changes under the plant functional type classification in different SSP-RCP scenarios in China, 2020, Science Bulletin
  • Global land projection based on plant functional types with a 1-km resolution under socio-climatic scenarios, 2022, Scientific Data

Frequent coauthors in Xia Li's body of work include Guohua Hu, Kelong Zhu, Xiaoping Liu, Yimin Chen, and Guangzhao Chen.

The venues where Xia Li publishes most frequently are:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • The Science of The Total Environment
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Communications

In addition to journal articles, Xia Li has contributed to book publications, including a title in the "Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering" series: Performance Evaluation Methodologies and Tools published in 2021.

Best Publications

  • A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects

    Xiaoping Liu;Xun Liang;Xia Li;Xia Li;Xiaocong Xu

  • Neural-network-based cellular automata for simulating multiple land use changes using GIS

    Xia Li;Anthony Gar-On Yeh

  • Modelling sustainable urban development by the integration of constrained cellular automata and GIS

    Xia Li;Anthony Gar-On Yeh

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data

    Xuecao Li;Peng Gong;Yuyu Zhou;Jie Wang;Jie Wang

  • High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform

    Xiaoping Liu;Guohua Hu;Yimin Chen;Xia Li

  • Measurement and monitoring of urban sprawl in a rapidly growing region using entropy

    Anthony Gar-On Yeh;Xia Li

  • Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model

    Yao Yao;Xia Li;Xiaoping Liu;Penghua Liu

  • A New Global Land-Use and Land-Cover Change Product at a 1-km Resolution for 2010 to 2100 Based on Human–Environment Interactions

    Xia Li;Guangzhao Chen;Xiaoping Liu;Xun Liang

  • Cellular automata for simulating land use changes based on support vector machines

    Qingsheng Yang;Xia Li;Xun Shi

  • A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data

    Zhixin Qi;Anthony Gar-On Yeh;Xia Li;Zheng Lin

  • A Constrained CA Model for the Simulation and Planning of Sustainable Urban Forms by Using GIS

    Anthony Gar-On Yeh;Xia Li

  • Simulating urban growth by integrating landscape expansion index LEI and cellular automata

    Xiaoping Liu;Lei Ma;Xia Li;Bin Ai

  • Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy

    Yimin Chen;Xia Li;Xiaoping Liu;Bin Ai

  • Quantifying the relationship between urban forms and carbon emissions using panel data analysis

    Jinpei Ou;Xiaoping Liu;Xia Li;Yimin Chen

  • Sustainable land development model for rapid growth areas using GIS

    Anthony Gar-On Yeh;Xia Li

  • Data mining of cellular automata's transition rules

    Xia Li;Anthony Gar-On Yeh

  • Estimating the relationship between urban forms and energy consumption: A case study in the Pearl River Delta, 2005–2008

    Yimin Chen;Xia Li;Yong Zheng;Yanyan Guan

  • Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing

    Jun Li;Alexander Agathos;Daniela Zaharie;Jose M. Bioucas-Dias

  • CALIBRATION OF CELLULAR AUTOMATA BY USING NEURAL NETWORKS FOR THE SIMULATION OF COMPLEX URBAN SYSTEMS

    Xia Li;Anthony Gar-On Yeh

  • Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated night-time light images

    L. Zhuo;T. Ichinose;J. Zheng;J. Chen

  • A bottom-up approach to discover transition rules of cellular automata using ant intelligence

    Xiaoping Liu;Xia Li;Lin Liu;Jinqiang He

  • Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data

    Yao Yao;Xiaoping Liu;Xia Li;Jinbao Zhang

Frequent Co-Authors

Xiaoping Liu
Xiaoping Liu Sun Yat-sen University
Anthony Gar-On Yeh
Anthony Gar-On Yeh University of Hong Kong
Lin Liu
Lin Liu Chinese Academy of Sciences
Shaojian Wang
Shaojian Wang Sun Yat-sen University
Klaus Hubacek
Klaus Hubacek University of Groningen
Peijun Shi
Peijun Shi Beijing Normal University
Peng Gong
Peng Gong University of Hong Kong
Kuishuang Feng
Kuishuang Feng University of Hong Kong
Laixiang Sun
Laixiang Sun University of Maryland, College Park
Jianguo Wu
Jianguo Wu Arizona State University

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