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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images
Jing Wang, Jingfeng Huang, Xiuzhen Wang, et al.
Journal of Zhejiang University SCIENCE B (2015) Vol. 16, Iss. 10, pp. 832-844
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
Linglin Zeng, Brian D. Wardlow, Daxiang Xiang, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111511-111511
Closed Access | Times Cited: 600
Improving prediction of soil organic carbon content in croplands using phenological parameters extracted from NDVI time series data
Lin Yang, Xianglin He, Feixue Shen, et al.
Soil and Tillage Research (2019) Vol. 196, pp. 104465-104465
Closed Access | Times Cited: 77
An improved scheme for rice phenology estimation based on time-series multispectral HJ-1A/B and polarimetric RADARSAT-2 data
Z. W. Yang, Yun Shao, Kun Li, et al.
Remote Sensing of Environment (2017) Vol. 195, pp. 184-201
Closed Access | Times Cited: 69
Monitoring Rice Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets
Ze He, Shihua Li, Yong Wang, et al.
Remote Sensing (2018) Vol. 10, Iss. 2, pp. 340-340
Open Access | Times Cited: 64
Applications of satellite ‘hyper-sensing’ in Chinese agriculture: Challenges and opportunities
Alex O. Onojeghuo, George Alan Blackburn, Jingfeng Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 64, pp. 62-86
Open Access | Times Cited: 60
Predicting soil organic carbon content in croplands using crop rotation and Fourier transform decomposed variables
Lin Yang, Min Song, A‐Xing Zhu, et al.
Geoderma (2019) Vol. 340, pp. 289-302
Closed Access | Times Cited: 52
Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS)
Xingmei Xu, Christopher Conrad, Daniel Doktor
Remote Sensing (2017) Vol. 9, Iss. 3, pp. 254-254
Open Access | Times Cited: 48
Optimising rice mapping in cloud-prone environments by combining quad-source optical with Sentinel-1A microwave satellite imagery
Lamin R. Mansaray, Lingbo Yang, Victor Tamba Simbay Kabba, et al.
GIScience & Remote Sensing (2019) Vol. 56, Iss. 8, pp. 1333-1354
Closed Access | Times Cited: 40
A Practical Remote Sensing Monitoring Framework for Late Frost Damage in Wine Grapes Using Multi-Source Satellite Data
Wenjie Li, Jingfeng Huang, Lingbo Yang, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3231-3231
Open Access | Times Cited: 26
Enhancing rice phenology identification by synergistic learning canopy optical signals and plant height dynamics
Ziqiu Li, Weiyuan Hong, Xiangqian Feng, et al.
Smart Agricultural Technology (2025), pp. 101011-101011
Open Access
Retrieval of Specific Leaf Area From Landsat-8 Surface Reflectance Data Using Statistical and Physical Models
Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew K. Skidmore
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017) Vol. 10, Iss. 8, pp. 3529-3536
Open Access | Times Cited: 32
Dynamic Mapping of Rice Growth Parameters Using HJ-1 CCD Time Series Data
Jing Wang, Jingfeng Huang, Ping Gao, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 931-931
Open Access | Times Cited: 30
Mapping of rice growth phases and bare land using Landsat-8 OLI with machine learning
Fadhlullah Ramadhani, Reddy Pullanagari, Gábor Kereszturi, et al.
International Journal of Remote Sensing (2020) Vol. 41, Iss. 21, pp. 8428-8452
Closed Access | Times Cited: 25
Multisensor Normalized Difference Vegetation Index Intercalibration: A Comprehensive Overview of the Causes of and Solutions for Multisensor Differences
Xingwang Fan, Yuanbo Liu
IEEE Geoscience and Remote Sensing Magazine (2018) Vol. 6, Iss. 4, pp. 23-45
Closed Access | Times Cited: 27
Mapping paddy rice agriculture over China using AMSR-E time series data
Peilin Song, Lamin R. Mansaray, Jingfeng Huang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 144, pp. 469-482
Closed Access | Times Cited: 24
Satellite-Based Observations Reveal Effects of Weather Variation on Rice Phenology
Hongfei Wang, Aniruddha Ghosh, Bruce A. Linquist, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1522-1522
Open Access | Times Cited: 21
Mapping paddy rice and rice phenology with Sentinel-1 SAR time series using a unified dynamic programming framework
Mo Wang, Jing Wang, Li Chen, et al.
Open Geosciences (2022) Vol. 14, Iss. 1, pp. 414-428
Open Access | Times Cited: 14
Detection of Rice Phenological Variations under Heavy Metal Stress by Means of Blended Landsat and MODIS Image Time Series
Biyao Zhang, Xiangnan Liu, Meiling Liu, et al.
Remote Sensing (2018) Vol. 11, Iss. 1, pp. 13-13
Open Access | Times Cited: 20
Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data
Shuyuan Liu, Xiangnan Liu, Meiling Liu, et al.
Sensors (2017) Vol. 17, Iss. 6, pp. 1243-1243
Open Access | Times Cited: 19
Spatio-temporal variation indicators for landscape structure dynamics monitoring using dense normalized difference vegetation index time series
Yuanyuan Meng, Xiangnan Liu, Ling Wu, et al.
Ecological Indicators (2019) Vol. 107, pp. 105607-105607
Closed Access | Times Cited: 18
Evaluation of machine learning models for rice dry biomass estimation and mapping using quad-source optical imagery
Lamin R. Mansaray, Adam Sheka Kanu, Lingbo Yang, et al.
GIScience & Remote Sensing (2020) Vol. 57, Iss. 6, pp. 785-796
Closed Access | Times Cited: 18
Fusing Landsat-7, Landsat-8 and Sentinel-2 surface reflectance to generate dense time series images with 10m spatial resolution
Shuping Xiong, Shihong Du, Xiuyuan Zhang, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 5, pp. 1630-1654
Closed Access | Times Cited: 11
Forecasting Transplanted Rice Yield at the Farm Scale Using Moderate-Resolution Satellite Imagery and the AquaCrop Model: A Case Study of a Rice Seed Production Community in Thailand
Kulapramote Prathumchai, Masahiko Nagai, Nitin Kumar Tripathi, et al.
ISPRS International Journal of Geo-Information (2018) Vol. 7, Iss. 2, pp. 73-73
Open Access | Times Cited: 14
Deriving Annual Double-Season Cropland Phenology Using Landsat Imagery
Tong Qiu, Conghe Song, Junxiang Li
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3275-3275
Open Access | Times Cited: 10
Understanding the role of the radiometric indices in temporal evapotranspiration estimation in arid environments
Sajjad Hussain, Jarbou Bahrawi, Muhammad Awais, et al.
Desalination and Water Treatment (2022) Vol. 256, pp. 221-234
Closed Access | Times Cited: 6
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