World's Best Scientists 2026 revealed!
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Zhao Zhang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 61 2796 2671 283 279 134 12620

Zhao Zhang publications per year

The chart shows the history of publications by Zhao Zhang between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhao Zhang published across 22 years, from 2004 to 2025, averaging 9.5 papers a year. Output peaked at 36 publications in 2022. 30 of the 208 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 36. Peak 36 publications in 2022. 2004: 1 publication 2005: 1 publication 2006: 1 publication 2007: 1 publication 2008: 5 publications 2009: 3 publications 2010: 4 publications 2011: 5 publications 2012: 3 publications 2013: 8 publications 2014: 11 publications 2015: 8 publications 2016: 7 publications 2017: 13 publications 2018: 9 publications 2019: 10 publications 2020: 13 publications 2021: 17 publications 2022: 36 publications 2023: 22 publications 2024: 20 publications 2025: 10 publications
2004 2025

208 publications in total across all disciplines

View publications per year as a table
Zhao Zhang: publications per year, 2004 to 2025
Year Publications
2004 1
2005 1
2006 1
2007 1
2008 5
2009 3
2010 4
2011 5
2012 3
2013 8
2014 11
2015 8
2016 7
2017 13
2018 9
2019 10
2020 13
2021 17
2022 36
2023 22
2024 20
2025 10
Total 208
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Zhao Zhang 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 Zhao Zhang 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, 131–140 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: 134 publications — 32nd percentile

32% 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
131–140 544 134
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
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

Zhao Zhang 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 Zhao Zhang 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, 61 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: 61 D-Index — 72nd percentile

72% 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 61
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
Download as CSV

Overview

Zhao Zhang is affiliated with Beijing Normal University in China and focuses their research primarily in the fields of Environmental Science and Agricultural and Biological Sciences. Their work spans several subfields, including Plant Science, Ecology, Evolution, Behavior and Systematics, Ecology, Global and Planetary Change, and Environmental Engineering.

The main research topics addressed by Zhao Zhang cover a diverse range of subjects, such as:

  • Climate change impacts on agriculture
  • Remote Sensing in Agriculture
  • Soil Moisture and Remote Sensing
  • Land Use and Ecosystem Services
  • Smart Agriculture and AI
  • Plant Water Relations and Carbon Dynamics
  • Rice Cultivation and Yield Improvement

Zhao Zhang has published extensively, with recent notable papers including:

  • Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches (2020), Agricultural and Forest Meteorology
  • Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China (2020), Remote Sensing
  • ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000-2015 based on leaf area index (LAI) products (2020), Earth system science data
  • Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates (2023), Nature Communications
  • Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine (2020), European Journal of Agronomy

Frequent co-authors who regularly collaborate with Zhao Zhang include Juan Cao, Fulu Tao, Yuchuan Luo, Jichong Han, and Jing Zhang.

The scientist's work appears frequently in several publication venues, notably:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Agricultural and Forest Meteorology
  • Earth system science data
  • Remote Sensing
  • Environmental Research Letters

Best Publications

  • Climate changes and trends in phenology and yields of field crops in China, 1981-2000

    Fulu Tao;Masayuki Yokozawa;Yinlong Xu;Yousay Hayashi

  • Climate change impact and adaptation for wheat protein

    Senthold Asseng;Pierre Martre;Andrea Maiorano;Reimund P Rötter

  • Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions

    Tao Li;Toshihiro Hasegawa;Xinyou Yin;Yan Zhu

  • Climate-crop yield relationships at provincial scales in China and the impacts of recent climate trends

    Fulu Tao;Masayuki Yokozawa;Jiyuan Liu;Zhao Zhang

  • Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

    Unknown

  • Global warming, rice production, and water use in China: Developing a probabilistic assessment

    Fulu Tao;Yousay Hayashi;Zhao Zhang;Toshihiro Sakamoto

  • Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches

    Juan Cao;Zhao Zhang;Fulu Tao;Liangliang Zhang

  • Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates

    Unknown

  • Adaptation of maize production to climate change in North China Plain: Quantify the relative contributions of adaptation options

    Fulu Tao;Zhao Zhang

  • Modelling the impacts of weather and climate variability on crop productivity over a large area: A new process-based model development, optimization, and uncertainties analysis

    Fulu Tao;Masayuki Yokozawa;Zhao Zhang

  • ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products

    Yuchuan Luo;Zhao Zhang;Yi Chen;Ziyue Li

  • Single rice growth period was prolonged by cultivars shifts, but yield was damaged by climate change during 1981-2009 in China, and late rice was just opposite

    Fulu Tao;Zhao Zhang;Wenjiao Shi;Yujie Liu

  • Responses of wheat growth and yield to climate change in different climate zones of China, 1981–2009

    Fulu Tao;Zhao Zhang;Dengpan Xiao;Shuai Zhang

  • Spatiotemporal changes of wheat phenology in China under the effects of temperature, day length and cultivar thermal characteristics

    Fulu Tao;Shuai Zhang;Zhao Zhang

  • Climate change, wheat productivity and water use in the North China Plain: A new super-ensemble-based probabilistic projection

    Fulu Tao;Zhao Zhang

  • Modelling the impacts of weather and climate variability on crop productivity over a large area: A new super-ensemble-based probabilistic projection

    Fulu Tao;Zhao Zhang;Jiyuan Liu;Masayuki Yokozawa

  • Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine

    Juan Cao;Zhao Zhang;Yuchuan Luo;Liangliang Zhang

  • Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-data sources

    Yuchuan Luo;Zhao Zhang;Ziyue Li;Yi Chen

  • Remote sensing of crop production in China by production efficiency models: models comparisons, estimates and uncertainties

    Fulu Tao;Masayuki Yokozawa;Zhao Zhang;Yinlong Xu

  • Global wheat production with 1.5 and 2.0°C above pre-industrial warming

    Bing Liu;Pierre Martre;Frank Ewert;John R. Porter;John R. Porter;John R. Porter

  • Multimodel ensembles improve predictions of crop-environment-management interactions.

    Daniel Wallach;Pierre Martre;Bing Liu;Bing Liu;Senthold Asseng

  • Impacts of climate change as a function of global mean temperature: maize productivity and water use in China

    Fulu Tao;Zhao Zhang

  • A review on statistical models for identifying climate contributions to crop yields

    Wenjiao Shi;Fulu Tao;Zhao Zhang

  • Surface water quality and its control in a river with intensive human impacts–a case study of the Xiangjiang River, China

    Zhao Zhang;Fulu Tao;Juan Du;Peijun Shi

  • Maize growing duration was prolonged across China in the past three decades under the combined effects of temperature, agronomic management, and cultivar shift.

    Fulu Tao;Shuai Zhang;Zhao Zhang;Reimund P. Rötter

  • Variability in climatology and agricultural production in China in association with the East Asian summer monsoon and El Nino Southern Oscillation

    Fulu Tao;Masayuki Yokozawa;Zhao Zhang;Yousay Hayashi

Frequent Co-Authors

Fulu Tao
Fulu Tao Chinese Academy of Sciences
Peijun Shi
Peijun Shi Beijing Normal University
Masayuki Yokozawa
Masayuki Yokozawa Waseda University
Yuichi Onda
Yuichi Onda University of Tsukuba
Reimund P. Rötter
Reimund P. Rötter University of Göttingen
Ken'ichirou Kosugi
Ken'ichirou Kosugi Kyoto University
Takashi Gomi
Takashi Gomi Nagoya University
Xinyou Yin
Xinyou Yin Wageningen University & Research
Kenneth J. Boote
Kenneth J. Boote University of Florida
Liang Tang
Liang Tang Nanjing Agricultural University

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Best Scientists Citing Zhao Zhang

Fulu Tao

Fulu Tao

Chinese Academy of Sciences

Publications: 114

Senthold Asseng

Senthold Asseng

Technical University of Munich

Publications: 52

Frank Ewert

Frank Ewert

University of Bonn

Publications: 43

Reimund P. Rötter

Reimund P. Rötter

University of Göttingen

Publications: 38

Alex C. Ruane

Alex C. Ruane

Goddard Institute for Space Studies

Publications: 36

Andrew J. Challinor

Andrew J. Challinor

University of Leeds

Publications: 35

Kurt Christian Kersebaum

Kurt Christian Kersebaum

Czech Academy of Sciences

Publications: 34

Claas Nendel

Claas Nendel

University of Potsdam

Publications: 33

Enli Wang

Enli Wang

Commonwealth Scientific and Industrial Research Organisation

Publications: 33

De Li Liu

De Li Liu

University of New South Wales

Publications: 31

Christoph Müller

Christoph Müller

Potsdam Institute for Climate Impact Research

Publications: 30

Gerrit Hoogenboom

Gerrit Hoogenboom

University of Florida

Publications: 28

Kenneth J. Boote

Kenneth J. Boote

University of Florida

Publications: 28

Bruno Basso

Bruno Basso

Michigan State University

Publications: 26

Liang Tang

Liang Tang

Nanjing Agricultural University

Publications: 24

Julian Ramirez-Villegas

Julian Ramirez-Villegas

Centro Internacional de Agricultura Tropical

Publications: 23

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