World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
55
Citations
8879
World Ranking
3913
National Ranking
1492

Ming Li 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 Ming Li 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: 201 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Ming Li 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 Ming Li 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: 55 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Ming Li is affiliated with the University of Maryland Center For Environmental Sciences in the United States. Their research primarily spans the field of Engineering, with a focus on several specialized subfields including Mechanical Engineering, Electrical and Electronic Engineering, Mechanics of Materials, Computer Vision and Pattern Recognition, and Artificial Intelligence.

The scientist's work addresses various topics relevant to engineering and applied sciences. These include:

  • Fractional Differential Equations Solutions
  • Medical Imaging Techniques and Applications
  • Composite Structure Analysis and Optimization
  • Advanced X-ray and CT Imaging
  • Image and Signal Denoising Methods
  • Topology Optimization in Engineering
  • Gear and Bearing Dynamics Analysis

Ming Li has contributed to multiple recent papers, with research outputs published in diverse scientific journals:

  • "The key parameter of shale oil resource evaluation: Oil content," 2022, Petroleum Science
  • "Stability and Sommerfeld Effect of a Vibrating System With Two Vibrators Driven Separately by Induction Motors," 2020, IEEE/ASME Transactions on Mechatronics
  • "Multi-fractional generalized Cauchy process and its application to teletraffic," 2020, Physica A Statistical Mechanics and its Applications
  • "Physical fitness reference standards for Chinese children and adolescents," 2021, Scientific Reports
  • "Product technical life prediction based on multi-modes and fractional Lévy stable motion," 2021, Mechanical Systems and Signal Processing

They frequently collaborate with several co-authors, including:

  • R Todi
  • F Guarin
  • M Radhakrishnan
  • M Aleman
  • Paul R. Berger

The venues in which Ming Li commonly publishes reflect a strong presence in both theoretical and applied engineering fields. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Electron Devices
  • Fractal and Fractional
  • SSRN Electronic Journal
  • Symmetry

Best Publications

  • Vertical swimming behavior influences the dispersal of simulated oyster larvae in a coupled particle-tracking and hydrodynamic model of Chesapeake Bay

    E. W. North;Z. Schlag;R. R. Hood;M. Li

  • Spatial and temporal variations in sediment grain size in tidal wetlands, Yangtze Delta: On the role of physical and biotic controls

    S.L. Yang;H. Li;T. Ysebaert;T.J. Bouma

  • Simulations of Chesapeake Bay estuary: Sensitivity to turbulence mixing parameterizations and comparison with observations

    Ming Li;Liejun Zhong;William C. Boicourt

  • The Coupled Boundary Layers and Air–Sea Transfer Experiment in Low Winds

    James Edson;Timothy Crawford;Jerry Crescenti;Tom Farrar

  • The Connection between Bubble Size Spectra and Energy Dissipation Rates in the Upper Ocean

    Chris Garrett;Ming Li;David Farmer

  • A regime diagram for classifying turbulent large eddies in the upper ocean

    Ming Li;Chris Garrett;Eric Skyllingstad

  • Redox reactions and weak buffering capacity lead to acidification in the Chesapeake Bay

    Wei-Jun Cai;Wei-Jen Huang;Wei-Jen Huang;George W. Luther;Denis Pierrot

  • Natural and Anthropogenic Drivers of Acidification in Large Estuaries.

    Wei-Jun Cai;Richard A Feely;Jeremy M Testa;Ming Li

  • Drastic decrease in sediment supply from the Yangtze River and its challenge to coastal wetland management

    S. L. Yang;M. Li;S. B. Dai;Z. Liu

  • Langevin equation with two fractional orders

    S.C. Lim;Ming Li;L.P. Teo

  • The Relationship Between Oil Droplet Size and Upper Ocean Turbulence

    Ming Li;Chris Garrett

  • Tidal energy fluxes and dissipation in the Chesapeake Bay

    Liejun Zhong;Ming Li

  • Quantifying the effects of nutrient loading on dissolved O2 cycling and hypoxia in Chesapeake Bay using a coupled hydrodynamic–biogeochemical model

    Jeremy M. Testa;Yun Li;Yun Li;Younjoo J. Lee;Younjoo J. Lee;Ming Li

  • Mixed Layer Deepening Due to Langmuir Circulation

    Ming Li;Chris Garrett

  • Impact of sea level rise on tidal range in Chesapeake and Delaware Bays

    Serena Blyth Lee;Serena Blyth Lee;Ming Li;Fan Zhang

  • What drives interannual variability of hypoxia in Chesapeake Bay: Climate forcing versus nutrient loading?

    Ming Li;Younjoo J. Lee;Jeremy M. Testa;Yun Li

  • The sharp decrease in suspended sediment supply from China's rivers to the sea: anthropogenic and natural causes

    S. B. Dai;S. L. Yang;M. Li

  • Patterns of Bubble Clouds organized by Langmuir Circulation

    David Farmer;Ming Li

  • Cell merging and the jet/downwelling ratio in Langmuir circulation

    Ming Li;Chris Garrett

  • Change trend of averaged Hurst parameter of traffic under DDOS flood attacks

    Ming Li

  • Effect of deposition and erosion within the main river channel and large lakes on sediment delivery to the estuary of the Yangtze River

    S. L. Yang;J. Zhang;S. B. Dai;M. Li

  • Modeling network traffic using generalized Cauchy process

    Ming Li;S.C. Lim

Frequent Co-Authors

Wei Zhao
Wei Zhao Shenzhen Institutes of Advanced Technology
Jeremy M. Testa
Jeremy M. Testa University of Maryland Center For Environmental Sciences
Weijia Jia
Weijia Jia Beijing Normal University
Carlo Cattani
Carlo Cattani Tuscia University
Gaorong Han
Gaorong Han Zhejiang University
Wei-Jun Cai
Wei-Jun Cai University of Delaware
Chris Garrett
Chris Garrett University of Victoria
Raymond G. Najjar
Raymond G. Najjar Pennsylvania State University
Shengyong Chen
Shengyong Chen Tianjin University of Technology
Marjorie A. M. Friedrichs
Marjorie A. M. Friedrichs Virginia Institute of Marine Science

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