World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
8547
World Ranking
5262
National Ranking
539

Pak Wai Chan publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Pak Wai Chan sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 335 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Pak Wai Chan D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Pak Wai Chan sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 49 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Pak Wai Chan is affiliated with the Hong Kong Observatory in China and has a research portfolio primarily spanning Earth and Planetary Sciences, Environmental Science, and Engineering. Their work extensively explores Atmospheric Science, Environmental Engineering, Global and Planetary Change, Aerospace Engineering, and Oceanography.

The main topics addressed in Pak Wai Chan's research include:

  • Wind and Air Flow Studies
  • Meteorological Phenomena and Simulations
  • Tropical and Extratropical Cyclones Research
  • Ocean Waves and Remote Sensing
  • Climate variability and models
  • Aerodynamics and Fluid Dynamics Research
  • Urban Heat Island Mitigation

Recent publications illustrate the breadth of their scientific inquiries. Selected papers include:

  • Journal of Civil Engineering and Architecture, 2025
  • Observational study of wind characteristics, wind speed and turbulence profiles during Super Typhoon Mangkhut, 2020, Journal of Wind Engineering and Industrial Aerodynamics
  • The synergistic effect of urban heat and moisture islands in a compact high-rise city, 2021, Building and Environment
  • Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods: A case study of Hong Kong, 2021, Sustainable Cities and Society
  • Dynamic spatial-temporal precipitation distribution models for short-duration rainstorms in Shenzhen, China based on machine learning, 2020, Atmospheric Research

The venues where they most frequently publish include Atmosphere, Journal of Wind Engineering and Industrial Aerodynamics, Applied Sciences, Meteorological Applications, and Atmospheric Research.

Pak Wai Chan collaborates regularly with several coauthors, including Q.S. Li, K. K. Hon, Junyi He, Lei Li, and Yuncheng He.

Best Publications

  • The urban cool island phenomenon in a high‐rise high‐density city and its mechanisms

    Xinyan Yang;Yuguo Li;Zhiwen Luo;Pak Wai Chan

  • Applications of an Infrared Doppler Lidar in Detection of Wind Shear

    C. M. Shun;P. W. Chan

  • Statistical analysis of wind characteristics and wind energy potential in Hong Kong

    Z.R. Shu;Q.S. Li;P.W. Chan

  • Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function

    Z.R. Shu;Q.S. Li;P.W. Chan

  • A review of progress and applications of pulsed doppler wind LiDARs

    Zhengliang Liu;Janet F. Barlow;Pak Wai Chan;Jimmy Chi Hung Fung

  • A multi-sensor study of water vapour from radiosonde, MODIS and AERONET: a case study of Hong Kong

    Zhizhao Liu;Man Sing Wong;Janet Elizabeth Nichol;P. W. Chan

  • Tower observed vertical distribution of PM2.5, O3 and NOx in the Pearl River Delta

    Lei Li;Chao Lu;Pak-Wai Chan;Xuan Zhang

  • Seasonal behavior of carbonyls and source characterization of formaldehyde (HCHO) in ambient air

    K. H. Lui;Steven Sai Hang Ho;Steven Sai Hang Ho;Peter K.K. Louie;C. S. Chan

  • Performance and application of a multi-wavelength, ground-based microwave radiometer in intense convective weather

    Pak Wai Chan

  • Wind weakening in a dense high-rise city due to over nearly five decades of urbanization

    Lei Peng;Jiaping Liu;Yi Wang;Pak Wai Chan

  • Observations of offshore wind characteristics by Doppler-LiDAR for wind energy applications

    Z.R. Shu;Q.S. Li;Y.C. He;P.W. Chan

  • Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms

    Muhammad Bilal;Janet Elizabeth Nichol;Pak W. Chan

  • AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products

    Hyunkwang Lim;Myungje Choi;Jhoon Kim;Yasuko Kasai

  • An observational study of the hygroscopic properties of aerosols over the Pearl River Delta region

    Haobo Tan;Haobo Tan;Yan Yin;Xuesong Gu;Fei Li

  • Observational study of wind characteristics, wind speed and turbulence profiles during Super Typhoon Mangkhut

    J.Y. He;Y.C. He;Q.S. Li;P.W. Chan

  • Effects of anthropogenic heat due to air-conditioning systems on an extreme high temperature event in Hong Kong

    Y Wang;Y Li;S Di Sabatino;A Martilli

  • An analysis of aerosol liquid water content and related impact factors in Pearl River Delta.

    Haobo Tan;Mingfu Cai;Qi Fan;Li Liu

  • Investigating the energy saving potential of applying shading panels on opaque façades: A case study for residential buildings in Hong Kong

    Sheng Liu;Yu Ting Kwok;Kevin Ka-Lun Lau;Pak Wai Chan

  • RANS simulation of neutral atmospheric boundary layer flows over complex terrain by proper imposition of boundary conditions and modification on the k-ε model

    Unknown

  • Impact of land surface heterogeneity on urban heat island circulation and sea‐land breeze circulation in Hong Kong

    Y. Wang;Y. Wang;S. Di Sabatino;A. Martilli;Y. Li

  • Deep Neural Network Modeling for Big Data Weather Forecasting

    James N. K. Liu;Yanxing Hu;Yulin He;Pak Wai Chan

  • Accurate extraction of Lagrangian coherent structures over finite domains with application to flight data analysis over Hong Kong International Airport

    Wenbo Tang;Pak Wai Chan;George Haller

  • Lagrangian Coherent Structure Analysis of Terminal Winds Detected by Lidar. Part I: Turbulence Structures

    Wenbo Tang;Pak Wai Chan;George Haller

  • Modeling of Anthropogenic Heat Flux Using HJ-1B Chinese Small Satellite Image: A Study of Heterogeneous Urbanized Areas in Hong Kong

    Man Sing Wong;Jinxin Yang;Janet Nichol;Qihao Weng

Frequent Co-Authors

Qiusheng Li
Qiusheng Li City University of Hong Kong
Man Sing Wong
Man Sing Wong Hong Kong Polytechnic University
Janet E. Nichol
Janet E. Nichol University of Sussex
Yuguo Li
Yuguo Li University of Hong Kong
Xuemei Wang
Xuemei Wang Jinan University
Werner Alpers
Werner Alpers Universität Hamburg
Shaojia Fan
Shaojia Fan Sun Yat-sen University
Edward Ng
Edward Ng Chinese University of Hong Kong
Kam Tim Tse
Kam Tim Tse Hong Kong University of Science and Technology
Jhoon Kim
Jhoon Kim Yonsei University

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