World's Best Scientists 2026 revealed!
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Yaolin Liu

Yaolin Liu

Wuhan University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 65 2267 2162 234 230 260 10796

Yaolin Liu publications per year

The chart shows the history of publications by Yaolin Liu between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yaolin Liu published across 23 years, from 2003 to 2025, averaging 16.5 papers a year. Output peaked at 33 publications in 2009. 51 of the 380 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2009. 2003: 2 publications 2004: 6 publications 2005: 7 publications 2006: 6 publications 2007: 19 publications 2008: 18 publications 2009: 33 publications 2010: 8 publications 2011: 8 publications 2012: 16 publications 2013: 14 publications 2014: 12 publications 2015: 14 publications 2016: 13 publications 2017: 22 publications 2018: 17 publications 2019: 20 publications 2020: 23 publications 2021: 16 publications 2022: 32 publications 2023: 23 publications 2024: 22 publications 2025: 29 publications
2003 2025

380 publications in total across all disciplines

View publications per year as a table
Yaolin Liu: publications per year, 2003 to 2025
Year Publications
2003 2
2004 6
2005 7
2006 6
2007 19
2008 18
2009 33
2010 8
2011 8
2012 16
2013 14
2014 12
2015 14
2016 13
2017 22
2018 17
2019 20
2020 23
2021 16
2022 32
2023 23
2024 22
2025 29
Total 380
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Yaolin 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 Yaolin Liu sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 251–260 publications, is where this scientist sits. 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 260 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180 260
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

Yaolin 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 Yaolin Liu sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 65 D-Index, is where this scientist sits. 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 65 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119 65
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

Overview

Yaolin Liu is affiliated with Wuhan University in China and has contributed extensively to the field of Environmental Science, with a particular focus on global and planetary change, transportation, ecology, health, toxicology, mutagenesis, and environmental engineering. Their work emphasizes the intersection of land use, ecosystem services, and urban systems.

Their main topics of research include:

  • Land Use and Ecosystem Services
  • Urban Transport and Accessibility
  • Urban Green Space and Health
  • Soil Geostatistics and Mapping
  • Human Mobility and Location-Based Analysis
  • Wildlife-Road Interactions and Conservation
  • Remote Sensing in Agriculture

Yaolin Liu has collaborated frequently with several co-authors, including:

  • Zhaomin Tong
  • Yanfang Liu
  • Rui An
  • Yiyun Chen
  • Yanchi Lu

The scientist has published research in a variety of venues, with a notable concentration in:

  • Journal of Cleaner Production
  • Sustainable Cities and Society
  • Land
  • Geoderma
  • Land Use Policy

Among recent publications authored or co-authored by Yaolin Liu are:

  • "The spatial integration and coordinated industrial development of urban agglomerations in the Yangtze River Economic Belt, China" (2020), published in Cities
  • "What factors affect the synergy and tradeoff between ecosystem services, and how, from a geospatial perspective?" (2020), published in Journal of Cleaner Production
  • "Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest" (2020), published in Soil and Tillage Research
  • "Evolution of the Prevalence of Myopia among Taiwanese Schoolchildren" (2020), published in Ophthalmology
  • "Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm" (2020), published in Geoderma

The body of Yaolin Liu's work reflects an interdisciplinary approach that integrates environmental science with urban and industrial development studies, geospatial analysis, and health-related environmental topics. This diversity is also expressed in their publication record, spanning journals focused on environmental sustainability, urban development, and soil science.

Best Publications

  • Visible and near-infrared reflectance spectroscopy-an alternative for monitoring soil contamination by heavy metals.

    Tiezhu Shi;Yiyun Chen;Yaolin Liu;Guofeng Wu;Guofeng Wu

  • What factors affect the synergy and tradeoff between ecosystem services, and how, from a geospatial perspective?

    Ziyi Zhang;Yanfang Liu;Yiheng Wang;Yaolin Liu

  • Urban expansion and form changes across African cities with a global outlook: Spatiotemporal analysis of urban land densities

    Gang Xu;Ting Dong;Patrick Brandful Cobbinah;Patrick Brandful Cobbinah;Limin Jiao

  • Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy

    Yongsheng Hong;Yaolin Liu;Yiyun Chen;Yanfang Liu

  • A bibliometric study of earthquake research: 1900–2010

    Xingjian Liu;Xingjian Liu;F. Benjamin Zhan;Song Hong;Beibei Niu

  • Socioeconomic drivers of forest loss and fragmentation: A comparison between different land use planning schemes and policy implications

    Yaolin Liu;Yuhao Feng;Zhe Zhao;Qianwen Zhang

  • The spatial integration and coordinated industrial development of urban agglomerations in the Yangtze River Economic Belt, China

    Yaolin Liu;Xianghui Zhang;Xingyu Pan;Xiuxin Ma

  • Methods and strategy for modeling daily global solar radiation with measured meteorological data – A case study in Nanchang station, China

    Guofeng Wu;Guofeng Wu;Yaolin Liu;Tiejun Wang

  • Concurrent monitoring of vessels and water turbidity enhances the strength of evidence in remotely sensed dredging impact assessment

    Guofeng Wu;Jan de Leeuw;Andrew K. Skidmore;Herbert H.T. Prins

  • A comparative analysis of urban and rural construction land use change and driving forces: Implications for urban–rural coordination development in Wuhan, Central China

    Yaolin Liu;Ti Luo;Zhongqiu Liu;Xuesong Kong

  • Geographic Field Model based hedonic valuation of urban open spaces in Wuhan, China

    Limin Jiao;Yaolin Liu

  • Urban growth and its determinants across the Wuhan urban agglomeration, central China

    Ronghui Tan;Yaolin Liu;Yanfang Liu;Qingsong He

  • A land-use spatial optimization model based on genetic optimization and game theory

    Yaolin Liu;Yaolin Liu;Wei Tang;Jianhua He;Jianhua He;Yanfang Liu;Yanfang Liu

  • Characterization and spatial modeling of urban sprawl in the Wuhan Metropolitan Area, China

    Chen Zeng;Chen Zeng;Yaolin Liu;Alfred Stein;Limin Jiao

  • A novel framework for rural homestead land transfer under collective ownership in China

    Xuesong Kong;Yaolin Liu;Ping Jiang;Yasi Tian

  • A counterfactual scenario simulation approach for assessing the impact of farmland preservation policies on urban sprawl and food security in a major grain-producing area of China

    Jianhua He;Jianhua He;Yaolin Liu;Yaolin Liu;Yan Yu;Wenwu Tang

  • Multi-order Landscape Expansion Index: Characterizing urban expansion dynamics

    Limin Jiao;Lifan Mao;Yaolin Liu

  • Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine

    Yongsheng Hong;Yongsheng Hong;Songchao Chen;Songchao Chen;Yong Zhang;Yiyun Chen;Yiyun Chen

  • Estimating spatiotemporal variations of city-level energy-related CO2 emissions: An improved disaggregating model based on vegetation adjusted nighttime light data

    Xiaoping Liu;Jinpei Ou;Shaojian Wang;Xia Li

  • Comparison of MODIS and Landsat TM5 images for mapping tempo-spatial dynamics of Secchi disk depths in Poyang Lake National Nature Reserve, China

    GuofenG Wu;Jan De Leeuw;Andrew K. Skidmore;Herbert H. T. Prins

  • Identifying the relationship between urban land expansion and human activities in the Yangtze River Economic Belt, China

    Yaolin Liu;Xianghui Zhang;Xuesong Kong;Rui Wang

  • China's food security soiled by contamination.

    Yaolin Liu;Cheng Wen;Xingjian Liu

  • Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared spectroscopy

    Yongsheng Hong;Yongsheng Hong;Songchao Chen;Songchao Chen;Yaolin Liu;Yong Zhang

Frequent Co-Authors

Andrew K. Skidmore
Andrew K. Skidmore University of Twente
Xiaoping Liu
Xiaoping Liu Sun Yat-sen University
Herbert H. T. Prins
Herbert H. T. Prins Wageningen University & Research
Hongtao Duan
Hongtao Duan Chinese Academy of Sciences
Ben Derudder
Ben Derudder KU Leuven
Yan Song
Yan Song University of North Carolina at Chapel Hill
Huanfeng Shen
Huanfeng Shen Wuhan University
Deren Li
Deren Li Wuhan University
Abdul Mounem Mouazen
Abdul Mounem Mouazen Ghent University
Tiejun Wang
Tiejun Wang University of Twente

External Links

Personal website of Yaolin Liu

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Best Scientists Citing Yaolin Liu

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Publications: 25

Huanfeng Shen

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Wuhan University

Publications: 23

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Southern University of Science and Technology

Publications: 23

Liangpei Zhang

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Publications: 21

Ben Derudder

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Publications: 13

Susan L. Ustin

Susan L. Ustin

University of California, Davis

Publications: 13

Kun Shi

Kun Shi

Chinese Academy of Sciences

Publications: 12

Stéphane Jacquemoud

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Institut de Physique du Globe de Paris

Publications: 11

Qi Zhang

Qi Zhang

Chinese Academy of Sciences

Publications: 11

Xia Li

Xia Li

East China Normal University

Publications: 10

Shiliang Su

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Publications: 10

Yan Song

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Publications: 9

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Yuji Murayama

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