World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
53
Citations
16797
World Ranking
4150
National Ranking
1569

Zhaoyan Liu 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 Zhaoyan Liu 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: 161 publications — 47th percentile

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

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

Zhaoyan Liu 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 Zhaoyan Liu 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: 53 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Zhaoyan Liu is affiliated with the Langley Research Center in the United States and primarily works in the field of Environmental Science. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Global and Planetary Change, Atmospheric Science, Astronomy and Astrophysics, and Health, Toxicology and Mutagenesis.

Their research topics broadly include atmospheric aerosols and clouds, atmospheric and environmental gas dynamics, atmospheric chemistry and aerosols, job satisfaction and organizational behavior, planetary science and exploration, nutritional studies and diet, and astro and planetary science.

Frequent co-authors in Liu's work include Jesse C. Cresswell, Gabriel Loaiza-Ganem, Rasa Hosseinzadeh, Shi Qiu, and Noël Vouitsis, each having collaborated on multiple publications.

Liu has contributed to research published in various venues, with a notable presence in:

  • arXiv (Cornell University)
  • Atmospheric Measurement Techniques
  • SSRN Electronic Journal
  • Frontiers in Remote Sensing
  • Remote Sensing

Some of Liu's recent papers include:

  • "Airborne lidar observations of wind, water vapor, and aerosol profiles during the NASA Aeolus calibration and validation (Cal/Val) test flight campaign" (2021), published in Atmospheric Measurement Techniques
  • "Do Job Insecure Leaders Perform Less Transformational Leadership? The Roles of Emotional Exhaustion and Trait Mindfulness" (2020), published in Journal of Leadership & Organizational Studies
  • "UAV based sensing and imaging technologies for power system detection, monitoring and inspection: a review" (2024), published in Nondestructive Testing And Evaluation
  • "Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements" (2022), published in Frontiers in Remote Sensing
  • "A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map" (2022), published in Multimedia Tools and Applications

Best Publications

  • Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms

    David M. Winker;Mark A. Vaughan;Ali Omar;Yongxiang Hu

  • The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm

    Ali H. Omar;David M. Winker;Mark A. Vaughan;Yongxiang Hu

  • Asian dust transported one full circuit around the globe

    Itsushi Uno;Kenta Eguchi;Keiya Yumimoto;Toshihiko Takemura

  • Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar Measurements

    Mark A. Vaughan;Kathleen A. Powell;Ralph E. Kuehn;Stuart A. Young

  • The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance

    Zhaoyan Liu;Mark Vaughan;David Winker;Chieko Kittaka

  • The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm

    Man-Hae Kim;Ali H. Omar;Jason L. Tackett;Mark A. Vaughan

  • The global 3-D distribution of tropospheric aerosols as characterized by CALIOP

    D. M. Winker;J. L. Tackett;B. J. Getzewich;Z. Liu

  • Long-range transport and vertical structure of Asian dust from CALIPSO and surface measurements during PACDEX

    Jianping Huang;Patrick Minnis;Bin Chen;Zhongwei Huang

  • Fully automated analysis of space-based lidar data: an overview of the CALIPSO retrieval algorithms and data products

    Mark A. Vaughan;Stuart A. Young;David M. Winker;Kathleen A. Powell

  • Summer dust aerosols detected from CALIPSO over the Tibetan Plateau

    Jianping Huang;Patrick Minnis;Yuhong Yi;Qiang Tang

  • Ground-based network observation of Asian dust events of April 1998 in east Asia

    Toshiyuki Murayama;Nobuo Sugimoto;Itsushi Uno;Kisei Kinoshita

  • CALIPSO/CALIOP Cloud Phase Discrimination Algorithm

    Yongxiang Hu;David Winker;Mark Vaughan;Bing Lin

  • Airborne dust distributions over the Tibetan Plateau and surrounding areas derived from the first year of CALIPSO lidar observations

    Zhaoyan Liu;Dong Liu;Jianping Huang;M. Vaughan

  • A height resolved global view of dust aerosols from the first year CALIPSO lidar measurements

    Dong Liu;Dong Liu;Zhien Wang;Zhaoyan Liu;Dave Winker

  • CALIPSO lidar observations of the optical properties of Saharan dust: A case study of long‐range transport

    Zhaoyan Liu;Ali Omar;Mark Vaughan;Johnathan Hair

  • Global view of aerosol vertical distributions from CALIPSO lidar measurements and GOCART simulations: Regional and seasonal variations

    Hongbin Yu;Hongbin Yu;Hongbin Yu;Mian Chin;David M. Winker;Ali H. Omar

  • Extinction-to-backscatter ratio of Asian dust observed with high-spectral-resolution lidar and Raman lidar

    Zhaoyan Liu;Nobuo Sugimoto;Toshiyuki Murayama

  • The depolarization - attenuated backscatter relation: CALIPSO lidar measurements vs. theory

    Yongxiang Hu;Mark Vaughan;Zhaoyan Liu;Bing Lin

  • Two contrasting dust‐dominant periods over India observed from MODIS and CALIPSO data

    Ritesh Gautam;Ritesh Gautam;Zhaoyan Liu;Ramesh P. Singh;N. Christina Hsu

  • Use of probability distribution functions for discriminating between cloud and aerosol in lidar backscatter data

    Zhaoyan Liu;Mark A. Vaughan;David M. Winker;Chris A. Hostetler

  • CALIOP and AERONET aerosol optical depth comparisons: One size fits none

    A. H. Omar;D. M. Winker;J. L. Tackett;D. M. Giles

Frequent Co-Authors

Mark A. Vaughan
Mark A. Vaughan Langley Research Center
David M. Winker
David M. Winker Langley Research Center
Yongxiang Hu
Yongxiang Hu Langley Research Center
Nobuo Sugimoto
Nobuo Sugimoto National Institute for Environmental Studies
Ali Omar
Ali Omar Langley Research Center
Charles R. Trepte
Charles R. Trepte Langley Research Center
Itsushi Uno
Itsushi Uno Kyushu University
Atsushi Shimizu
Atsushi Shimizu National Institute for Environmental Studies
Keiya Yumimoto
Keiya Yumimoto Kyushu University
Chris A. Hostetler
Chris A. Hostetler Langley Research Center

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Related Online Degrees & Career Pathways

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By considering these related degrees, students can tailor their education toward impactful careers in sustainability, conservation, and environmental management, all while leveraging the flexibility of online learning.

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