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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:

Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles
Jiaoyang He, Ni Zhang, Xi Su, et al.
Remote Sensing (2019) Vol. 11, Iss. 15, pp. 1809-1809
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery
Lang Qiao, Dehua Gao, Ruomei Zhao, et al.
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106603-106603
Closed Access | Times Cited: 88
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season
Yan Gong, Kaili Yang, Zhiheng Lin, et al.
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 67
Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of Rice Aboveground Biomass
Tianyue Xu, Fumin Wang, Lili Xie, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2534-2534
Open Access | Times Cited: 49
Grain yield prediction using multi-temporal UAV-based multispectral vegetation indices and endmember abundance in rice
Xi Su, Jiacheng Wang, Ding Lu, et al.
Field Crops Research (2023) Vol. 299, pp. 108992-108992
Closed Access | Times Cited: 24
Estimation of the rice aboveground biomass based on the first derivative spectrum and Boruta algorithm
櫻井 克年, Xiangxiang Su, Yue Hu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 10
Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing
Falv Wang, Jingcheng Zhang, Wei Li, et al.
Precision Agriculture (2025) Vol. 26, Iss. 2
Open Access | Times Cited: 1
Combining Spectral and Texture Features of UAV Images for the Remote Estimation of Rice LAI throughout the Entire Growing Season
Kaili Yang, Yan Gong, Shenghui Fang, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 3001-3001
Open Access | Times Cited: 53
Improving Unmanned Aerial Vehicle (UAV) remote sensing of rice plant potassium accumulation by fusing spectral and textural information
Jingshan Lu, Jan U.H. Eitel, Mary Engels, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 104, pp. 102592-102592
Open Access | Times Cited: 46
A disease-specific spectral index tracks Magnaporthe oryzae infection in paddy rice from ground to space
Long Tian, Ziyi Wang, Bowen Xue, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113384-113384
Closed Access | Times Cited: 32
Assessing the Prospects of Remote Sensing Maize Leaf Area Index Using UAV-Derived Multi-Spectral Data in Smallholder Farms across the Growing Season
Siphiwokuhle Buthelezi, Onisimo Mutanga, Mbulisi Sibanda, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1597-1597
Open Access | Times Cited: 21
Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index
Zhou Cong, Yan Gong, Shenghui Fang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 24
Mapping Leaf Area Index at Various Rice Growth Stages in Southern India Using Airborne Hyperspectral Remote Sensing
Mathyam Prabhakar, K.A. Gopinath, Nakka Ravi Kumar, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 954-954
Open Access | Times Cited: 6
Study on the Estimation of Leaf Area Index in Rice Based on UAV RGB and Multispectral Data
Yuan Zhang, Youyi Jiang, Bo Xu, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3049-3049
Open Access | Times Cited: 5
A Novel Vegetation Index for Coffee Ripeness Monitoring Using Aerial Imagery
Rodrigo Nogueira Martins, Francisco de Assis de Carvalho Pinto, Daniel Marçal de Queiroz, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 263-263
Open Access | Times Cited: 31
Rice Yield Estimation Based on Vegetation Index and Florescence Spectral Information from UAV Hyperspectral Remote Sensing
Fumin Wang, Xiaoping Yao, Lili Xie, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3390-3390
Open Access | Times Cited: 28
Cotton Seedling Detection and Counting Based on UAV Multispectral Images and Deep Learning Methods
Yingxiang Feng, Wei Chen, Yiru Ma, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2680-2680
Open Access | Times Cited: 12
Improved Estimation of Leaf Area Index by Reducing Leaf Chlorophyll Content and Saturation Effects Based on Red-Edge Bands
Zhewei Zhang, Wenjie Jin, Ruyu Dou, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 11
Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data
Jiaoyang He, Xiangbin Zhang, Wanting Guo, et al.
Frontiers in Plant Science (2020) Vol. 10
Open Access | Times Cited: 32
Rice Yield Prediction in Different Growth Environments Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging
Junichi Kurihara, Toru Nagata, Hiroyuki Tomiyama
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2004-2004
Open Access | Times Cited: 10
Estimating rice flower intensity using flower spectral information from unmanned aerial vehicle (UAV) hyperspectral images
Xiaoping Yao, Qiuxiang Yi, Fumin Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103415-103415
Open Access | Times Cited: 10
A study on optimal input images for rice yield prediction models using CNN with UAV imagery and its reasoning using explainable AI
Tomoaki Yamaguchi, T. TAKAMURA, Takashi Tanaka, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127512-127512
Open Access
Canopy-Level Rice Yield and Yield Component Estimation Using NIR-Based Vegetation Indices
Hyeok-Jin Bak, Eunji Kim, Ji-Hyeon Lee, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 594-594
Open Access
A two-step approach to mitigating phenological influences on spectroscopic detection of rice blast and removing pseudo severity estimates in healthy plants
Bowen Xue, Long Tian, Pablo J. Zarco‐Tejada, et al.
Computers and Electronics in Agriculture (2025) Vol. 236, pp. 110458-110458
Closed Access
Spatiotemporal stability estimation of physicochemical parameters of rice based on dynamic process orientation and refined abundance modification
Shanjun Luo, Qian Li, Zhaocong Wu
Geo-spatial Information Science (2025), pp. 1-20
Open Access
Estimating rice leaf area index at multiple growth stages with Sentinel-2 data: An evaluation of different retrieval algorithms
Tongzhou Wu, Zhewei Zhang, Qi Wang, et al.
European Journal of Agronomy (2024) Vol. 161, pp. 127362-127362
Closed Access | Times Cited: 3
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