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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 48 5492 5265 560 556 242 9834

Zheng Niu publications per year

The chart shows the history of publications by Zheng Niu between 1999 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zheng Niu published across 28 years, from 1999 to 2026, averaging 10.6 papers a year. Output peaked at 22 publications in 2015. 21 of the 298 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1999 to 2026. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2015. 1999: 1 publication 2000: 4 publications 2001: 3 publications 2002: 1 publication 2003: 5 publications 2004: 10 publications 2005: 15 publications 2006: 6 publications 2007: 8 publications 2008: 13 publications 2009: 9 publications 2010: 15 publications 2011: 2 publications 2012: 14 publications 2013: 12 publications 2014: 19 publications 2015: 22 publications 2016: 16 publications 2017: 11 publications 2018: 14 publications 2019: 12 publications 2020: 11 publications 2021: 8 publications 2022: 18 publications 2023: 11 publications 2024: 17 publications 2025: 20 publications 2026: 1 publication
1999 2026

298 publications in total across all disciplines

View publications per year as a table
Zheng Niu: publications per year, 1999 to 2026
Year Publications
1999 1
2000 4
2001 3
2002 1
2003 5
2004 10
2005 15
2006 6
2007 8
2008 13
2009 9
2010 15
2011 2
2012 14
2013 12
2014 19
2015 22
2016 16
2017 11
2018 14
2019 12
2020 11
2021 8
2022 18
2023 11
2024 17
2025 20
2026 1
Total 298
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Zheng Niu 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 Zheng Niu 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, 241–250 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: 242 publications — 76th percentile

76% 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
241–250 217 242
251–260 180
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
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Zheng Niu 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 Zheng Niu 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, 48 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: 48 D-Index — 44th percentile

44% 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 48
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
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
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Overview

Zheng Niu is affiliated with the Chinese Academy of Sciences in China and focuses primarily on Environmental Science, with a significant number of publications in this field.

Their research spans several subfields including:

  • Global and Planetary Change
  • Ecology
  • Environmental Engineering
  • Transportation
  • Atmospheric Science

Main topics covered in their work include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Impact of Light on Environment and Health
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing and Land Use
  • 3D Surveying and Cultural Heritage

Zheng Niu's frequent coauthors reveal a consistent collaboration network, featuring:

  • Li Wang
  • Ni Huang
  • Kaiyi Bi
  • Mingquan Wu
  • Wang Li

Their publications are often found in the following venues, indicating a focus on remote sensing and geospatial studies:

  • Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
  • International Journal of Digital Earth
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing of Environment

Selected recent papers include:

  • High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data (2020), International Journal of Applied Earth Observation and Geoinformation
  • Early-season mapping of winter wheat in China based on Landsat and Sentinel images (2020), Earth system science data
  • Spatial and temporal variations in global soil respiration and their relationships with climate and land cover (2020), Science Advances
  • Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process (2020), ISPRS International Journal of Geo-Information
  • Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles (2021), Journal of the Indian Society of Remote Sensing

Best Publications

  • Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang

  • Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging

    Wenjiang Huang;Wenjiang Huang;David W. Lamb;Zheng Niu;Yongjiang Zhang

  • Watershed Allied Telemetry Experimental Research

    Xin Li;Xiaowen Li;Xiaowen Li;Zengyuan Li;Mingguo Ma

  • Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

    Wang Li;Zheng Niu;Hanyue Chen;Dong Li

  • Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model

    Mingquan Wu;Zheng Niu;Changyao Wang;Chaoyang Wu;Chaoyang Wu

  • Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA

    Pengyu Hao;Yulin Zhan;Li Wang;Zheng Niu

  • Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang;Wenjiang Huang

  • Comparison of multiple models for estimating gross primary production using MODIS and eddy covariance data in Harvard Forest

    Chaoyang Wu;J. William Munger;Zheng Niu;Da Kuang

  • Early-season mapping of winter wheat in China based on Landsat and Sentinel images

    Jie Dong;Yangyang Fu;Jingjing Wang;Haifeng Tian

  • Evaluating soil moisture status in China using the temperature-vegetation dryness index (TVDI)

    Changyao Wang;Shuhua Qi;Zheng Niu;Junbang Wang

  • Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm

    Haifeng Tian;Ni Huang;Zheng Niu;Yuchu Qin

  • Spatial and temporal variations in global soil respiration and their relationships with climate and land cover

    Ni Huang;Li Wang;Xiao-Peng Song;T. Andrew Black

  • A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics

    Shiguang Xu;Chaoyang Wu;Li Wang;Alemu Gonsamo

  • Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2

    Shuai Gao;Zheng Niu;Ni Huang;Xuehui Hou

  • Evolving neural network using real coded genetic algorithm (GA) for multispectral image classification

    Zhengjun Liu;Aixia Liu;Changyao Wang;Zheng Niu

  • Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize

    Chaoyang Wu;Zheng Niu;Shuai Gao

  • Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS

    Unknown

  • Prediction of soil properties using laboratory VIS–NIR spectroscopy and Hyperion imagery

    Peng Lu;Li Wang;Zheng Niu;Linghao Li

  • Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China

    Wang Li;Zheng Niu;Ni Huang;Cheng Wang

Frequent Co-Authors

Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Chaoyang Wu
Chaoyang Wu Chinese Academy of Sciences
Cheng Wang
Cheng Wang Xiamen University
Liangyun Liu
Liangyun Liu Chinese Academy of Sciences
Guangjian Yan
Guangjian Yan Beijing Normal University
Yifang Ban
Yifang Ban Royal Institute of Technology
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
Yang Hong
Yang Hong University of Oklahoma
Xiaowen Li
Xiaowen Li Tsinghua University
David Lamb
David Lamb University of New England

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