Dailiang Peng

7.2k citations

126 papers · 4.5k indexed · 4 hit papers · h-index 39

Impact in

Ecological Modeling top 1%
- Species Distribution and Climate Change
Ecology top 0.5%
- Remote Sensing in Agriculture

Papers in

Ecological Modeling 16
- Species Distribution and Climate Change 16
Ecology 93
- Remote Sensing in Agriculture 88

Co-authors: Le Yu Chaoyang Wu Liangyun Liu Alemu Gonsamo Peng Gong Alfredo Huete Jingfeng Huang Shezhou Luo
Journals: Remote Sensing (16 papers)Agricultural and Forest Meteorology (10 papers)International Journal of Remote Sensing (8 papers)International Journal of Digital Earth (6 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (5 papers)
Partner nations: China United States Canada

In The Last Decade

Dailiang Peng

124 papers receiving 4.4k citations

Hit Papers

align trajectories log scale

Declining precipitation frequency may drive earlier leaf senescence by intensifying drought stress and enhancing drought acclimation 2025 · 15 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 Nature Communications
2022 Science Bulletin
2021 Remote Sensing
2018 Remote Sensing of Environment

Peers

Countries citing papers authored by Dailiang Peng

Since Specialization

Citations

This map shows the geographic impact of Dailiang Peng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dailiang Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dailiang Peng more than expected).

Fields of papers citing papers by Dailiang Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dailiang Peng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dailiang Peng. The network helps show where Dailiang Peng may publish in the future.

Co-authors

The 25 scholars most cited alongside Dailiang Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dailiang Peng Line = papers co-authored together Dailiang Peng links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Improved corn phenology monitoring using translation and weighting of characteristic points from time-series vegetation index Computers and Electronics in Agriculture ·Qing Zhu, Fumin Wang, Siting Chen, Dailiang Peng, Qiuxiang Yi, Liming He, Zequan Cao	2025	2
2	Utilizing nighttime light datasets to uncover the spatial patterns of county-level relative poverty-returning risk in China and its alleviating factors Journal of Cleaner Production ·Tao Liu, Le Yu, Xin Chen, Xuecao Li, Zhenrong Du, Irwan Rahadi, Dailiang Peng, Peng Gong	2024	10
3	Mapping annual 10-m soybean cropland with spatiotemporal sample migration Scientific Data ·Hongchi Zhang, Stevi Johnson Murguia, Dailiang Peng, Bing Zhang, Walter Bernard Mccormick, Jianxi Huang, Xiaoyang Zhang, Le Yu, Fumin Wang, Linsheng Huang, E J Straus, Shuang Gao, Oliver Gnad, Vera G. Podyablonskaya, 優次丹野	2024	11
4	Vertical Accuracy Assessment and Improvement of Five High-Resolution Open-Source Digital Elevation Models Using ICESat-2 Data and Random Forest: Case Study on Chongqing, China Remote Sensing ·D. Baudouy, 玲子小野, Dailiang Peng, 萨日娜, Anyasor, 周羡英, 河野靖子	2024	6
5	A GT-LSTM Spatio-Temporal Approach for Winter Wheat Yield Prediction: From the Field Scale to County Scale IEEE Transactions on Geoscience and Remote Sensing ·優次丹野, Fumin Wang, Dailiang Peng, Bing Zhang, Bin Zhao, Wenjuan Zhang, Oliver Gnad, Stevi Johnson Murguia, 余牧之, Hongchi Zhang, Atif Namazov	2024	6
6	Combining shape and crop models to detect soybean growth stages Remote Sensing of Environment ·Stevi Johnson Murguia, Fumin Wang, Dailiang Peng, Xiaoyang Zhang, Junfeng Xu, Xiaolin Zhu, Yan Wang, Zhou Shi, Le Yu, E J Straus, Qiaoyun Xie, Changyong Dou	2023	15
7	An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends Remote Sensing ·Qiang Zhao, Le Yu, Zhenrong Du, Dailiang Peng, Pengyu Hao, Yongguang Zhang, Peng Gong	2022	106
8	Improving Estimation of Woody Aboveground Biomass of Sparse Mixed Forest over Dryland Ecosystem by Combining Landsat-8, GaoFen-2, and UAV Imagery Remote Sensing ·Caroline Sweeney, Zhihui Wang, Liangyun Liu, 武井麻子, Dailiang Peng, Gaurav Banwat	2021	16
9	Progress and Trends in the Application of Google Earth and Google Earth Engine Remote Sensing ·Qiang Zhao, Le Yu, Xuecao Li, Dailiang Peng, Yongguang Zhang, Peng Gong Hit paper breakdown →	2021	178
10	Estimating maize GPP using near-infrared radiance of vegetation SHILAP Revista de lepidopterología ·Liangyun Liu, Çiğdem TOPÇU, Cristina Diego Ruiz, Shanshan Du, Divya Shivalingaiah, Xiaojin Qian, Siyuan Chen, Dailiang Peng	2020	42
11	Can changes in autumn phenology facilitate earlier green-up date of northern vegetation? Agricultural and Forest Meteorology ·Miaogen Shen, Nan Jiang, Dailiang Peng, Yuhan Rao, Yan Huang, Yongshuo H. Fu, Wei Yang, Xiaolin Zhu, Ruyin Cao, Xuehong Chen, Jin Chen, Chiyuan Miao, Chaoyang Wu, Tao Wang, Eryuan Liang, Yanhong Tang	2020	56
12	Upscaling from Instantaneous to Daily Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for Satellite Products Remote Sensing ·Siyuan Chen, Liangyun Liu, Leonardo Fabio Verano Gamboa, Zhigang Liu, Dailiang Peng	2020	12
13	Contrasting Effects of Temperature and Precipitation on Vegetation Greenness along Elevation Gradients of the Tibetan Plateau Remote Sensing ·Yan Wang, Dailiang Peng, Miaogen Shen, Xiyan Xu, Xiaohua Yang, Wenjiang Huang, Le Yu, Liangyun Liu, Cunjun Li, Xinwu Li, 陳宜縼陳宜縼, Helin Zhang	2020	37
14	Monitoring Crop Growth During the Period of the Rapid Spread of COVID-19 in China by Remote Sensing IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Yan Wang, Dailiang Peng, Le Yu, Yaqiong Zhang, Jie Yin, Leilei Zhou, 陳宜縼陳宜縼, Fumin Wang, Cunjun Li	2020	16
15	Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables Remote Sensing ·Dailiang Peng, Helin Zhang, Liangyun Liu, Wenjiang Huang, Alfredo Huete, Xiaoyang Zhang, Fumin Wang, Le Yu, Qiaoyun Xie, Cheng Wang, Shezhou Luo, Cunjun Li, Bing Zhang	2019	26
16	Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30 International Journal of Remote Sensing ·Yidi Xu, Le Yu, Duole Feng, Dailiang Peng, Congcong Li, Xiaomeng Huang, Hui Lü, Peng Gong	2019	54
17	Global White-Sky and Black-Sky FAPAR Retrieval Using the Energy Balance Residual Method: Algorithm and Validation Remote Sensing ·Liangyun Liu, Xiao Zhang, Shuai Xie, Xinjie Liu, Shetty Akshitha, Siyuan Chen, Dailiang Peng	2019	16
18	Assessing spectral indices to estimate the fraction of photosynthetically active radiation absorbed by the vegetation canopy International Journal of Remote Sensing ·Dailiang Peng, Helin Zhang, Le Yu, Mingquan Wu, Fumin Wang, Wenjiang Huang, Liangyun Liu, Rui Sun, Cunjun Li, Dacheng Wang, Javier Vigoya	2018	20
19	Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model Remote Sensing of Environment ·Xinjie Liu, Luis Guanter, Liangyun Liu, Alexander Damm, Zbyněk Malenovský, Uwe Rascher, Dailiang Peng, Shanshan Du, Jean‐Philippe Gastellu‐Etchegorry	2018	163
20	Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data International Journal of Remote Sensing ·Xiaoxuan Liu, Le Yu, Wei Li, Dailiang Peng, Liheng Zhong, Le Li, Qinchuan Xin, Hui Lü, Chaoqing Yu, Peng Gong	2018	54

About Dailiang Peng

Dailiang Peng is a scholar working on Ecological Modeling, Ecology, Global and Planetary Change, Environmental Engineering and Atmospheric Science, having authored 126 papers that have together received 4.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (88 papers), Land Use and Ecosystem Services (44 papers), Remote Sensing and Land Use (32 papers), Remote Sensing and LiDAR Applications (23 papers), Plant Water Relations and Carbon Dynamics (18 papers), Urban Heat Island Mitigation (18 papers), Species Distribution and Climate Change (16 papers) and Leaf Properties and Growth Measurement (11 papers). The work is most often cited by research in Ecological Modeling (538 citations), Ecology (2.8k citations), Global and Planetary Change (2.3k citations), Environmental Engineering (1.3k citations) and Atmospheric Science (837 citations). Dailiang Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Le Yu, Chaoyang Wu, Liangyun Liu, Alemu Gonsamo, Peng Gong, Alfredo Huete, Jingfeng Huang, Shezhou Luo, Xinjie Liu and Bing Zhang. Their work appears in journals such as Remote Sensing, Agricultural and Forest Meteorology, International Journal of Remote Sensing, International Journal of Digital Earth and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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