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Zhiqiang Yang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 47 5689 5454 2068 1913 101 11461

Zhiqiang Yang publications per year

The chart shows the history of publications by Zhiqiang Yang between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhiqiang Yang published across 23 years, from 2003 to 2025, averaging 5.6 papers a year. Output peaked at 14 publications in 2025. 23 of the 129 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2025. 2003: 1 publication 2004: 0 publications 2005: 2 publications 2006: 3 publications 2007: 3 publications 2008: 0 publications 2009: 1 publication 2010: 2 publications 2011: 4 publications 2012: 2 publications 2013: 2 publications 2014: 6 publications 2015: 9 publications 2016: 9 publications 2017: 7 publications 2018: 11 publications 2019: 11 publications 2020: 10 publications 2021: 6 publications 2022: 11 publications 2023: 6 publications 2024: 9 publications 2025: 14 publications
2003 2025

129 publications in total across all disciplines

View publications per year as a table
Zhiqiang Yang: publications per year, 2003 to 2025
Year Publications
2003 1
2004 0
2005 2
2006 3
2007 3
2008 0
2009 1
2010 2
2011 4
2012 2
2013 2
2014 6
2015 9
2016 9
2017 7
2018 11
2019 11
2020 10
2021 6
2022 11
2023 6
2024 9
2025 14
Total 129
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Zhiqiang Yang 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 Zhiqiang Yang 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, 101–110 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: 101 publications — 14th percentile

14% 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
101–110 492 101
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
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

Zhiqiang Yang 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 Zhiqiang Yang 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, 47 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: 47 D-Index — 42nd percentile

42% 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 47
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
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

Zhiqiang Yang is a researcher affiliated with the United States Department of Agriculture in the United States. Their work primarily spans the field of Environmental Science, where they have contributed to 67 publications. Their research focus includes several subfields such as Global and Planetary Change, Ecology, Environmental Engineering, Nature and Landscape Conservation, and Ecological Modeling.

The main topics covered in their research relate to ecosystem dynamics and remote sensing technologies. Key areas of study include Fire effects on ecosystems, Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Forest ecology and management, Species Distribution and Climate Change, Forest Management and Policy, and Ecology and Vegetation Dynamics Studies.

Zhiqiang Yang has frequently published in venues that focus on environmental and ecological research. These publication venues include Remote Sensing, Environmental Research Letters, Nature Ecology & Evolution, Remote Sensing of Environment, and Landscape Ecology.

Their list of recent papers illustrates the diversity and scope of their research interests and collaboration network. Notable papers include:

  • Demystifying LandTrendr and CCDC temporal segmentation, 2022, International Journal of Applied Earth Observation and Geoinformation
  • How soil erosion and runoff are related to land use, topography and annual precipitation: Insights from a meta-analysis of erosion plots in China, 2021, The Science of The Total Environment
  • Forest degradation drives widespread avian habitat and population declines, 2022, Nature Ecology & Evolution
  • Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation, 2020, Remote Sensing
  • Three Decades of Land Cover Change in East Africa, 2021, Land

Zhiqiang Yang collaborates frequently with several researchers, including Sean P. Healey, Noel Gorelick, Matthew G. Betts, Eric L. Bullock, and Raymond J. Davis. The collaboration count shows strong ties especially with Sean P. Healey.

Best Publications

  • Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

    Robert E. Kennedy;Zhiqiang Yang;Warren B. Cohen

  • Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection

    Sean P. Healey;Warren B. Cohen;Yang Zhiqiang;Olga N. Krankina

  • Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation

    Warren B. Cohen;Zhiqiang Yang;Robert Kennedy

  • Implementation of the LandTrendr Algorithm on Google Earth Engine

    Robert E Kennedy;Zhiqiang Yang;Noel Gorelick;Justin Braaten

  • Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon

    Todd A. Schroeder;Warren B. Cohen;Conghe Song;Morton J. Canty

  • Canopy mortality has doubled in Europe's temperate forests over the last three decades.

    Cornelius Senf;Dirk Pflugmacher;Yang Zhiqiang;Julius Sebald

  • Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products

    Warren B Cohen;Thomas K Maiersperger;Zhiqiang Yang;Stith T Gower

  • Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan

    Robert E. Kennedy;Zhiqiang Yang;Warren B. Cohen;Eric Pfaff

  • Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time

    Zhe Zhu;Curtis E. Woodcock;Christopher Holden;Zhiqiang Yang

  • Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline

    Warren B. Cohen;Zhiqiang Yang;Stephen V. Stehman;Todd A. Schroeder

  • Continuous monitoring of land disturbance based on Landsat time series

    Zhe Zhu;Zhe Zhu;Junxue Zhang;Junxue Zhang;Zhiqiang Yang;Amal H. Aljaddani

  • A LandTrendr multispectral ensemble for forest disturbance detection

    Warren B. Cohen;Zhiqiang Yang;Sean P. Healey;Robert E. Kennedy

  • Mapping forest change using stacked generalization: An ensemble approach

    Sean P. Healey;Warren B. Cohen;Zhiqiang Yang;C. Kenneth Brewer

  • Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics

    Dirk Pflugmacher;Warren B. Cohen;Robert E. Kennedy;Zhiqiang Yang

  • GEDI launches a new era of biomass inference from space

    Unknown

  • How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms

    Warren B. Cohen;Sean P. Healey;Zhiqiang Yang;Stephen V. Stehman

  • Attribution of disturbance change agent from Landsat time-series in support of habitat monitoring in the Puget Sound region, USA

    Robert E. Kennedy;Zhiqiang Yang;Justin Braaten;Catharine Copass

  • Quantification of impervious surface in the Snohomish Water Resources Inventory Area of Western Washington from 1972–2006

    Scott L. Powell;Warren B. Cohen;Zhiqiang Yang;John D. Pierce

  • Distinguishing between live and dead standing tree biomass on the North Rim of Grand Canyon National Park, USA using small-footprint lidar data

    Yunsuk Kim;Zhiqiang Yang;Warren B. Cohen;Dirk Pflugmacher

  • Synergistic effects of climate and land-use change influence broad-scale avian population declines.

    Joseph M. Northrup;Joseph M. Northrup;James W. Rivers;Zhiqiang Yang;Zhiqiang Yang;Matthew G. Betts

  • Application of two regression-based methods to estimate the effects of partial harvest on forest structure using Landsat data

    Sean P. Healey;Zhiqiang Yang;Warren B. Cohen;D. John Pierce

  • Species distribution modelling for the people: unclassified landsat TM imagery predicts bird occurrence at fine resolutions

    S. M. Shirley;Z. Yang;R. A. Hutchinson;J. D. Alexander

Frequent Co-Authors

Warren B. Cohen
Warren B. Cohen Oregon State University
Robert E. Kennedy
Robert E. Kennedy Oregon State University
Sean P. Healey
Sean P. Healey US Forest Service
Matthew G. Betts
Matthew G. Betts Oregon State University
Zhe Zhu
Zhe Zhu University of Connecticut
Stephen V. Stehman
Stephen V. Stehman SUNY College of Environmental Science and Forestry
Chengquan Huang
Chengquan Huang University of Maryland, College Park
David P. Turner
David P. Turner Oregon State University
Curtis E. Woodcock
Curtis E. Woodcock Boston University
Beverly E. Law
Beverly E. Law Oregon State University

External Links

Personal website of Zhiqiang Yang

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Related Online Degrees & Career Pathways

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Another growing field closely tied to environmental science is Geographic Information Systems (GIS). Earning a degree from one of the best GIS programs online can equip students with vital skills in spatial data analysis, crucial for environmental monitoring and planning roles.

For those seeking to advance into leadership and policy-making within environmental sectors, pursuing an online Master of Public Administration through a top online MPA programs can be a strategic move. These programs emphasize management skills and public policy knowledge, relevant to environmental governance and nonprofit work.

When considering degree options, some students may prioritize ease and flexibility. Exploring the what is the easiest bachelor's degree to get can help identify programs that balance workload with career value, enabling progress in the environmental field without overwhelming barriers.

Best Scientists Citing Zhiqiang Yang

Michael A. Wulder

Michael A. Wulder

Natural Resources Canada

Publications: 77

Nicholas C. Coops

Nicholas C. Coops

University of British Columbia

Publications: 64

Joanne C. White

Joanne C. White

Natural Resources Canada

Publications: 57

Warren B. Cohen

Warren B. Cohen

Oregon State University

Publications: 52

Patrick Hostert

Patrick Hostert

Humboldt-Universität zu Berlin

Publications: 49

Robert E. Kennedy

Robert E. Kennedy

Oregon State University

Publications: 47

Txomin Hermosilla

Txomin Hermosilla

Natural Resources Canada

Publications: 38

Zhe Zhu

Zhe Zhu

University of Connecticut

Publications: 33

Chengquan Huang

Chengquan Huang

University of Maryland, College Park

Publications: 32

Dirk Pflugmacher

Dirk Pflugmacher

Humboldt-Universität zu Berlin

Publications: 32

Curtis E. Woodcock

Curtis E. Woodcock

Boston University

Publications: 31

Sean P. Healey

Sean P. Healey

US Forest Service

Publications: 29

Peng Gong

Peng Gong

University of Hong Kong

Publications: 28

Tobias Kuemmerle

Tobias Kuemmerle

Humboldt-Universität zu Berlin

Publications: 28

Martin Herold

Martin Herold

Wageningen University & Research

Publications: 27

Xiangming Xiao

Xiangming Xiao

University of Oklahoma

Publications: 25

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