World's Best Scientists 2026 revealed!
Shih-Chun Candice Lung

Shih-Chun Candice Lung

D-Index & Metrics

Environmental Sciences

D-Index
45
Citations
7145
World Ranking
6453
National Ranking
19

Shih-Chun Candice Lung 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 Shih-Chun Candice Lung 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: 156 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Shih-Chun Candice Lung 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 Shih-Chun Candice Lung 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: 45 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Shih-Chun Candice Lung is affiliated with Academia Sinica in Taiwan. Their research primarily revolves around environmental science with a distinct focus on air quality and its implications for health. Lung's work spans several interconnected fields and themes, highlighting an ongoing engagement with the challenges and dynamics of air pollution and environmental health.

The main fields of study in Lung's research include:

  • Environmental Science

Within this overarching field, the subfields of study addressed in their publications include:

  • Health, Toxicology and Mutagenesis
  • Environmental Engineering
  • Automotive Engineering
  • Global and Planetary Change
  • Speech and Hearing

The key topics of investigation by Lung cover areas such as:

  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Climate Change and Health Impacts
  • Vehicle Emissions and Performance
  • Noise Effects and Management
  • Urban Green Space and Health
  • Atmospheric Chemistry and Aerosols

Notable recent papers authored or co-authored by Lung include:

  • "Using a land use regression model with machine learning to estimate ground level PM2.5," 2021, Environmental Pollution
  • "A versatile low-cost sensing device for assessing PM2.5 spatiotemporal variation and quantifying source contribution," 2020, The Science of The Total Environment
  • "Spatial-temporal variability and health impact of particulate matter during a 2019-2020 biomass burning event in Southeast Asia," 2022, Scientific Reports
  • "Application of Machine Learning for the in-Field Correction of a PM2.5 Low-Cost Sensor Network," 2020, Sensors
  • "Global greenness in relation to reducing the burden of cardiovascular diseases: ischemic heart disease and stroke," 2020, Environmental Research Letters

Lung frequently collaborates with several researchers, among whom the most common co-authors are:

  • Chih-Da Wu
  • Huey-Jen Su
  • Yu-Cheng Chen
  • Pei-Yi Wong
  • Aji Kusumaning Asri

Publications by Lung have appeared in various scientific journals, with multiple contributions in:

  • The Science of The Total Environment
  • Environmental Pollution
  • International Journal of Environmental Research and Public Health
  • Journal of Exposure Science & Environmental Epidemiology
  • Sensors

Lung's research employs techniques such as machine learning, land use regression modeling, and low-cost sensing technologies to explore particulate matter (PM2.5) pollution, its spatiotemporal variations, and its health impacts. This multidisciplinary approach is evident across their studies addressing air pollution monitoring, source attribution, and environmental health risk assessment.

Best Publications

  • "What We Breathe Impacts Our Health: Improving Understanding of the Link between Air Pollution and Health"

    J. Jason West;Aaron Cohen;Frank Dentener;Bert Brunekreef

  • Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan

    Pei-Chih Wu;Jinn-Guey Lay;How-Ran Guo;Chuan-Yao Lin

  • Sources, solubility, and dry deposition of aerosol trace elements over the East China Sea

    Shih-Chieh Hsu;George T.F. Wong;Gwo-Ching Gong;Fuh-Kwo Shiah;Fuh-Kwo Shiah

  • Linking Student Performance in Massachusetts Elementary Schools with the ``Greenness'' of School Surroundings Using Remote Sensing

    Chih Da Wu;Eileen McNeely;J. G. Cedeño-Laurent;Wen Chi Pan

  • Size-Resolved Anhydrosugar Composition in Smoke Aerosol from Controlled Field Burning of Rice Straw

    Guenter Engling;James J. Lee;Yi-Wen Tsai;Shih-Chun C. Lung

  • An Open Framework for Participatory PM2.5 Monitoring in Smart Cities

    Ling-Jyh Chen;Yao-Hua Ho;Hu-Cheng Lee;Hsuan-Cho Wu

  • Effects of extreme precipitation to the distribution of infectious diseases in Taiwan, 1994-2008.

    Mu Jean Chen;Chuan Yao Lin;Yi Ting Wu;Pei Chih Wu

  • Using a land use regression model with machine learning to estimate ground level PM2.5.

    Pei-Yi Wong;Hsiao-Yun Lee;Yu-Cheng Chen;Yu-Ting Zeng

  • Chemical speciation, transport and contribution of biomass burning smoke to ambient aerosol in Guangzhou, a mega city of China

    Zhisheng Zhang;Guenter Engling;Chuan-Yao Lin;Charles C.-K. Chou

  • Land-use regression with long-term satellite-based greenness index and culture-specific sources to model PM2.5 spatial-temporal variability.

    Chih Da Wu;Yu Cheng Chen;Wen Chi Pan;Yu Ting Zeng

  • A hybrid kriging/land-use regression model to assess PM2.5 spatial-temporal variability.

    Chih Da Wu;Yu Ting Zeng;Shih Chun Candice Lung;Shih Chun Candice Lung

  • Indoor air pollution from gas cooking in five Taiwanese families

    Kuo Pin Yu;Ke Ruo Yang;Yen Chi Chen;Jia You Gong

  • Variations of Cd/Pb and Zn/Pb ratios in Taipei aerosols reflecting long-range transport or local pollution emissions.

    Shih-Chieh Hsu;Shaw Chen Liu;Woei-Lih Jeng;Fei-Jan Lin

  • Generation rates and emission factors of particulate matter and particle-bound polycyclic aromatic hydrocarbons of incense sticks.

    Shih-Chun Candice Lung;Shu-Chuan Hu

  • Fast analysis of 29 polycyclic aromatic hydrocarbons (PAHs) and nitro-PAHs with ultra-high performance liquid chromatography-atmospheric pressure photoionization-tandem mass spectrometry.

    Shih-Chun Candice Lung;Chun-Hu Liu

  • Can green structure reduce the mortality of cardiovascular diseases

    Yu-Sheng Shen;Shih-Chun Candice Lung;Shih-Chun Candice Lung

  • A criterion for identifying Asian dust events based on Al concentration data collected from northern Taiwan between 2002 and early 2007

    Shih-Chieh Hsu;Shaw Chen Liu;Yi-Tang Huang;Yi-Tang Huang;Shih-Chun Candice Lung;Shih-Chun Candice Lung

  • Biogenic isoprene in subtropical urban settings and implications for air quality

    Jia Lin Wang;Clock Chew;Chih Yuan Chang;Wei Cheng Liao

  • Contribution of incense burning to indoor PM10 and particle-bound polycyclic aromatic hydrocarbons under two ventilation conditions.

    S.-C. C. Lung;M.-C. Kao;S.-C. Hu

  • Mediation pathways and effects of green structures on respiratory mortality via reducing air pollution

    Yu-Sheng Shen;Shih-Chun Candice Lung;Shih-Chun Candice Lung

  • High wintertime particulate matter pollution over an offshore island (Kinmen) off southeastern China: An overview

    S. C. Hsu;S. C. Liu;F. Tsai;G. Engling;G. Engling

Frequent Co-Authors

John D. Spengler
John D. Spengler Harvard University
Shaw Chen Liu
Shaw Chen Liu Jinan University
Shih-Chieh Hsu
Shih-Chieh Hsu Academia Sinica
Guenter Engling
Guenter Engling Desert Research Institute
Chuan-Yao Lin
Chuan-Yao Lin Academia Sinica
Shuh-Ji Kao
Shuh-Ji Kao Hainan University
Chih-Chung Chang
Chih-Chung Chang National Taiwan University
Charles C.-K. Chou
Charles C.-K. Chou Academia Sinica
Jia-Lin Wang
Jia-Lin Wang National Central University
Fuh-Kwo Shiah
Fuh-Kwo Shiah Academia Sinica

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