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:

Rough sets in the Soft Computing environment
Rafael Bello, José Luís Verdegay
Information Sciences (2012) Vol. 212, pp. 1-14
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Automated Valuation Model based on fuzzy and rough set theory for real estate market with insufficient source data
Małgorzata Renigier‐Biłozor, Artur Janowski, Maurizio d’Amato
Land Use Policy (2019) Vol. 87, pp. 104021-104021
Closed Access | Times Cited: 57

Fault detection in photovoltaic systems using unmanned aerial vehicle-captured images and rough set theory
C. V. Prasshanth, Sujatha Narayanan, Naveen Venkatesh Sridharan, et al.
Solar Energy (2025) Vol. 290, pp. 113348-113348
Closed Access

Using one axiom to characterize rough set and fuzzy rough set approximations
Guilong Liu
Information Sciences (2012) Vol. 223, pp. 285-296
Closed Access | Times Cited: 68

RATING METHODOLOGY FOR REAL ESTATE MARKETS – POLAND CASE STUDY
Małgorzata Renigier‐Biłozor, R. Wiśniewski, Artūras Kaklauskas, et al.
International Journal of Strategic Property Management (2014) Vol. 18, Iss. 2, pp. 198-212
Open Access | Times Cited: 54

Algorithm for purposes of determining real estate markets efficiency with help of land administration system
Agnieszka Dawidowicz, Anna Radzewicz, Małgorzata Renigier‐Biłozor
Survey Review (2013) Vol. 46, Iss. 336, pp. 189-204
Closed Access | Times Cited: 49

Rough Cognitive Networks
Gonzalo Nápoles, Isel Grau, Elpiniki I. Papageorgiou, et al.
Knowledge-Based Systems (2015) Vol. 91, pp. 46-61
Closed Access | Times Cited: 42

Rough Sets in Machine Learning: A Review
Rafael Bello, Rafael Falcón
Studies in computational intelligence (2017), pp. 87-118
Closed Access | Times Cited: 41

Data quality measures based on granular computing for multi-label classification
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, et al.
Information Sciences (2021) Vol. 560, pp. 51-67
Closed Access | Times Cited: 27

Solving the linear interval tolerance problem for weight initialization of neural networks
Stavros P. Adam, D.A. Karras, George D. Magoulas, et al.
Neural Networks (2014) Vol. 54, pp. 17-37
Open Access | Times Cited: 37

Forced sale discount on property market – How to assess it?
Małgorzata Renigier‐Biłozor, Marek Walacik, Sabina Źróbek, et al.
Land Use Policy (2018) Vol. 78, pp. 104-115
Closed Access | Times Cited: 25

Soft Computing Techniques for Dependable Cyber-Physical Systems
Muhammad Atif, Siddique Latif, Rizwan Ahmad, et al.
IEEE Access (2019) Vol. 7, pp. 72030-72049
Open Access | Times Cited: 22

Fuzzy logic method of valuation supporting sustainable development of the agricultural land market
Sabina Źróbek, Oleksandra Kovalyshyn, Małgorzata Renigier‐Biłozor, et al.
Sustainable Development (2020) Vol. 28, Iss. 5, pp. 1094-1105
Closed Access | Times Cited: 19

Project Control and Computational Intelligence: Trends and Challenges
José Alejandro Lugo García, Anié Bermudez Peña, Pedro Yobanis Piñero Pérez, et al.
International Journal of Computational Intelligence Systems (2016) Vol. 10, Iss. 1, pp. 320-320
Open Access | Times Cited: 19

Remote measurement of building usable floor area – Algorithms fusion
Artur Janowski, Małgorzata Renigier‐Biłozor, Marek Walacik, et al.
Land Use Policy (2020) Vol. 100, pp. 104938-104938
Closed Access | Times Cited: 16

A Granular Intrusion Detection System Using Rough Cognitive Networks
Gonzalo Nápoles, Isel Grau, Rafael Falcón, et al.
Studies in computational intelligence (2015), pp. 169-191
Open Access | Times Cited: 16

Lexicographic Methods for Fuzzy Linear Programming
Boris Pérez‐Cañedo, José Luís Verdegay, Eduardo Morales, et al.
Mathematics (2020) Vol. 8, Iss. 9, pp. 1540-1540
Open Access | Times Cited: 14

Some properties of L-fuzzy approximation spaces based on bounded integral residuated lattices
Zhudeng Wang, Yuan Wang, Keming Tang
Information Sciences (2014) Vol. 278, pp. 110-126
Closed Access | Times Cited: 13

Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making
Gonzalo Nápoles, Isel Grau, Koen Vanhoof, et al.
Lecture notes in computer science (2014), pp. 169-178
Closed Access | Times Cited: 11

Residential market ratings using fuzzy logic decision-making procedures
Małgorzata Renigier‐Biłozor, Andrzej Biłozor, Maurizo d’Amato
Economic Research-Ekonomska Istraživanja (2018) Vol. 31, Iss. 1, pp. 1758-1787
Open Access | Times Cited: 10

Classification of Complex Urban Fringe Land Cover Using Evidential Reasoning Based on Fuzzy Rough Set: A Case Study of Wuhan City
Yang Ye-tao, Yi Wang, Ke Wu, et al.
Remote Sensing (2016) Vol. 8, Iss. 4, pp. 304-304
Open Access | Times Cited: 9

Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets
Iliana Pérez Pupo, Pedro Yobanis Piñero Pérez, Rafael Bello, et al.
Lecture notes in computer science (2020), pp. 385-397
Open Access | Times Cited: 9

Intelligent System of Strategic Monitoring
Raul Trujillo Cabezas, José Luís Verdegay
2022 17th Iberian Conference on Information Systems and Technologies (CISTI) (2019), pp. 1-6
Closed Access | Times Cited: 7

Assessment of a Takagi–Sugeno-Kang fuzzy model assembly for examination of polyphasic loglinear allometry
Héctor Echavarría-Heras, Juan Castro-Rodríguez, Cecilia Leal-Ramı́rez, et al.
PeerJ (2020) Vol. 8, pp. e8173-e8173
Open Access | Times Cited: 6

An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling
Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2020) Vol. 28, pp. 1-8
Open Access | Times Cited: 6

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