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:

Crop Types Discrimination and Yield Prediction Using Sentinel-2 Data and AquaCrop Model in Hazaribagh District, Jharkhand
Bikash Ranjan Parida, Amritesh Kumar, Avinash Kumar Ranjan
KN - Journal of Cartography and Geographic Information (2021) Vol. 73, Iss. 1, pp. 77-89
Closed Access | Times Cited: 10

Showing 10 citing articles:

Vegetation browning trend progressively leading to forest degradation in eastern himalaya in response to climatic and anthropogenic drivers
Shaily Sparsha, Bikash Ranjan Parida
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101209-101209
Closed Access | Times Cited: 4

Mapping Ecological Focus Areas within the EU CAP Controls Framework by Copernicus Sentinel-2 Data
Filippo Sarvia, Samuele De Petris, E. Borgogno Mondino
Agronomy (2022) Vol. 12, Iss. 2, pp. 406-406
Open Access | Times Cited: 14

Spatial mapping of winter wheat using C-band SAR (Sentinel-1A) data and yield prediction in Gorakhpur district, Uttar Pradesh (India)
Bikash Ranjan Parida, Sheelu Singh
Journal of Spatial Science (2021) Vol. 68, Iss. 1, pp. 91-106
Closed Access | Times Cited: 12

Synergy of Sentinel-2A and Near-proximal sensor data for deriving biochemical parameters of paddy at different growth stages
Bikash Ranjan Parida, Amit Kushwaha, Avinash Kumar Ranjan
Environment Development and Sustainability (2021) Vol. 24, Iss. 1, pp. 1048-1068
Closed Access | Times Cited: 12

PRELIMINARY CONCERNS ABOUT AGRONOMIC INTERPRETATION OF NDVI TIME SERIES FROM SENTINEL-2 DATA: PHENOLOGY AND THERMAL EFFICIENCY OF WINTER WHEAT IN PIEMONTE (NW ITALY)
Alessandro Farbo, Filippo Sarvia, S. De Petris, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2022) Vol. XLIII-B3-2022, pp. 863-870
Open Access | Times Cited: 7

Detection and counting of meadow cuts by copernicus sentinel-2 imagery in the framework of the common agricultural policy (CAP)
Filippo Sarvia, Samuele De Petris, E. Borgogno Mondino
European Journal of Remote Sensing (2022) Vol. 56, Iss. 1
Open Access | Times Cited: 7

Assimilating vegetation indices and canopy cover derived from remote sensing into the AquaCrop model for estimating rice yield
Fatemeh Jafari Sayadi, Mohammad Ali Gholami Sefidkouhi, Hemmatollah Pirdashti, et al.
Irrigation and Drainage (2024)
Closed Access

Historical wheat yield mapping using time-series satellite data and district-wise yield statistics over Uttar Pradesh state, India
Ranjan Baghel, Pankaj Sharma
Remote Sensing Applications Society and Environment (2022) Vol. 27, pp. 100808-100808
Open Access | Times Cited: 2

Evaluation of Machine Learning Classifiers for Crop Classification – A Case Study of Veppanthattai Taluk, Perambalur District
B. Linda Theres
International Journal of Current Microbiology and Applied Sciences (2022) Vol. 11, Iss. 5, pp. 115-124
Open Access | Times Cited: 2

Spectral Measures from Sentinel-2 Imagery vs Ground-Based Data from Rapidscan© Sensor: Performances on Winter Wheat
Alessandro Farbo, Raffaele Meloni, Massimo Blandino, et al.
Communications in computer and information science (2022), pp. 211-221
Closed Access | Times Cited: 2

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