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:

Identifying crop rotation practice by the typification of crop sequence patterns for arable farming systems – A case study from Central Europe
Susanne Stein, Horst‐Henning Steinmann
European Journal of Agronomy (2017) Vol. 92, pp. 30-40
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany
Lukas Blickensdörfer, Marcel Schwieder, Dirk Pflugmacher, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112831-112831
Open Access | Times Cited: 246

Diverse approaches to crop diversification in agricultural research. A review
Johannes Hufnagel, Moritz Reckling, Frank Ewert
Agronomy for Sustainable Development (2020) Vol. 40, Iss. 2
Open Access | Times Cited: 233

Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach
Chenxi Lin, Liheng Zhong, Xiao‐Peng Song, et al.
Remote Sensing of Environment (2022) Vol. 274, pp. 112994-112994
Open Access | Times Cited: 89

Tackling climate change: Agroforestry adoption in the face of regional weather extremes
Christian Stetter, Johannes Sauer
Ecological Economics (2024) Vol. 224, pp. 108266-108266
Open Access | Times Cited: 11

Estimating the contribution of crop residues to soil organic carbon conservation
Tommaso Stella, Ioanna Mouratiadou, Thomas Gaiser, et al.
Environmental Research Letters (2019) Vol. 14, Iss. 9, pp. 094008-094008
Open Access | Times Cited: 62

Conflicts between agriculture and biodiversity conservation in Europe: Looking to the future by learning from the past
Lou Lécuyer, Didier Alard, Simon Calla, et al.
Advances in ecological research/Advances in Ecological Research (2021), pp. 3-56
Closed Access | Times Cited: 33

Mapping the Complex Crop Rotation Systems in Southern China Considering Cropping Intensity, Crop Diversity, and Their Seasonal Dynamics
Yuan Liu, Qiangyi Yu, Qingbo Zhou, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 9584-9598
Open Access | Times Cited: 25

Mapping crop rotation by satellite-based data fusion in Southern Brazil
Luan Pierre Pott, Telmo Jorge Carneiro Amado, Raí Augusto Schwalbert, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107958-107958
Closed Access | Times Cited: 12

Towards Climate Smart Farming—A Reference Architecture for Integrated Farming Systems
Georgios Kakamoukas, Panagiotis Sarigiannidis, Andreas Maropoulos, et al.
Telecom (2021) Vol. 2, Iss. 1, pp. 52-74
Open Access | Times Cited: 24

Predicting crop rotations using process mining techniques and Markov principals
Ambre Dupuis, Camélia Dadouchi, Bruno Agard
Computers and Electronics in Agriculture (2022) Vol. 194, pp. 106686-106686
Closed Access | Times Cited: 19

A new approach to characterising and predicting crop rotations using national-scale annual crop maps
Emily V. Upcott, Peter A. Henrys, John W. Redhead, et al.
The Science of The Total Environment (2022) Vol. 860, pp. 160471-160471
Open Access | Times Cited: 19

I-DRo: A new indicator to assess spatiotemporal diversity and ecosystem services of crop rotations
Olivier Keichinger, Loïc Viguier, Guénaëlle Corre‐Hellou, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127531-127531
Open Access

A crop sequence dataset of the German federal state of North Rhine-Westphalia from 2019-2024
Christoph Pahmeyer, Till Kuhn, Hugo Storm
Data in Brief (2025), pp. 111617-111617
Open Access

Impact of organic management practices on productivity, soil quality and weed dynamics in maize and vegetable intercropping systems under rainfed conditions
M. R. Panda, Sairam Behera, D. K. Bastia, et al.
Biological Agriculture & Horticulture (2025), pp. 1-24
Closed Access

Crop Rotational Effects on Yield Formation in Current Sugar Beet Production – Results From a Farm Survey and Field Trials
Heinz‐Josef Koch, Kerrin Trimpler, Anna Jacobs, et al.
Frontiers in Plant Science (2018) Vol. 9
Open Access | Times Cited: 28

The first map of crop sequence types in Europe over 2012–2018
Rémy Ballot, Nicolas Guilpart, Marie‐Hélène Jeuffroy
Earth system science data (2023) Vol. 15, Iss. 12, pp. 5651-5666
Open Access | Times Cited: 9

Higher crop rotational diversity in more simplified agricultural landscapes in Northeastern Germany
Josepha Schiller, Clemens Jänicke, Moritz Reckling, et al.
Landscape Ecology (2024) Vol. 39, Iss. 4
Open Access | Times Cited: 3

Summable C factors for contemporary soil use
K. Auerswald, Florian Ebertseder, Karin Levin, et al.
Soil and Tillage Research (2021) Vol. 213, pp. 105155-105155
Closed Access | Times Cited: 19

Field-level land-use data reveal heterogeneous crop sequences with distinct regional differences in Germany
Clemens Jänicke, Adam Goddard, Susanne Stein, et al.
European Journal of Agronomy (2022) Vol. 141, pp. 126632-126632
Open Access | Times Cited: 14

Crop rotations in the Rolling Pampas: Characterization, spatial pattern and its potential controls
Diego de Abelleyra, Santiago R. Verón
Remote Sensing Applications Society and Environment (2020) Vol. 18, pp. 100320-100320
Closed Access | Times Cited: 20

Assessment of the diversity of crop rotations based on network analysis indicators
Benjamin Nowak, Audrey Michaud, Gaëlle Marliac
Agricultural Systems (2022) Vol. 199, pp. 103402-103402
Open Access | Times Cited: 12

Methodology for multi-temporal prediction of crop rotations using recurrent neural networks
Ambre Dupuis, Camélia Dadouchi, Bruno Agard
Smart Agricultural Technology (2022) Vol. 4, pp. 100152-100152
Open Access | Times Cited: 12

Performances of a Seq2Seq-LSTM methodology to predict crop rotations in Québec
Ambre Dupuis, Camélia Dadouchi, Bruno Agard
Smart Agricultural Technology (2023) Vol. 4, pp. 100180-100180
Open Access | Times Cited: 7

Land Parcel Identification System (LPIS) data allows identification of crop sequence patterns and diversity in organic and conventional farming systems.
Rafaelle Reumaux, Pierre Chopin, Göran Bergkvist, et al.
European Journal of Agronomy (2023) Vol. 149, pp. 126916-126916
Open Access | Times Cited: 7

Maize‐dominated crop sequences in northern Germany: Reaction of the weed species communities
Christoph von Redwitz, Bärbel Gerowitt
Applied Vegetation Science (2018) Vol. 21, Iss. 3, pp. 431-441
Closed Access | Times Cited: 19

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