
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:
Development of an evolutionary fuzzy expert system for estimating future behavior of stock price
Farhad Mehmanpazir, Shahrokh Asadi
Journal of industrial engineering international (2016) Vol. 13, Iss. 1, pp. 29-46
Open Access | Times Cited: 25
Farhad Mehmanpazir, Shahrokh Asadi
Journal of industrial engineering international (2016) Vol. 13, Iss. 1, pp. 29-46
Open Access | Times Cited: 25
Showing 25 citing articles:
A comprehensive data level analysis for cancer diagnosis on imbalanced data
Sara Fotouhi, Shahrokh Asadi, Michael W. Kattan
Journal of Biomedical Informatics (2019) Vol. 90, pp. 103089-103089
Closed Access | Times Cited: 262
Sara Fotouhi, Shahrokh Asadi, Michael W. Kattan
Journal of Biomedical Informatics (2019) Vol. 90, pp. 103089-103089
Closed Access | Times Cited: 262
Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Himan Shahabi, Ataollah Shirzadi, Somayeh Ronoud, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101100-101100
Open Access | Times Cited: 125
Himan Shahabi, Ataollah Shirzadi, Somayeh Ronoud, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101100-101100
Open Access | Times Cited: 125
Improvement of Bagging performance for classification of imbalanced datasets using evolutionary multi-objective optimization
Seyed Ehsan Roshan, Shahrokh Asadi
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103319-103319
Closed Access | Times Cited: 91
Seyed Ehsan Roshan, Shahrokh Asadi
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103319-103319
Closed Access | Times Cited: 91
An evolutionary deep belief network extreme learning-based for breast cancer diagnosis
Somayeh Ronoud, Shahrokh Asadi
Soft Computing (2019) Vol. 23, Iss. 24, pp. 13139-13159
Closed Access | Times Cited: 69
Somayeh Ronoud, Shahrokh Asadi
Soft Computing (2019) Vol. 23, Iss. 24, pp. 13139-13159
Closed Access | Times Cited: 69
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping
Ataollah Shirzadi, Shahrokh Asadi, Himan Shahabi, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103971-103971
Closed Access | Times Cited: 52
Ataollah Shirzadi, Shahrokh Asadi, Himan Shahabi, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103971-103971
Closed Access | Times Cited: 52
Autonomous learning for fuzzy systems: a review
Xiaowei Gu, Jungong Han, Qiang Shen, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7549-7595
Open Access | Times Cited: 31
Xiaowei Gu, Jungong Han, Qiang Shen, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7549-7595
Open Access | Times Cited: 31
Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data
Salvatore Carta, Andrea Medda, Alessio Pili, et al.
Future Internet (2018) Vol. 11, Iss. 1, pp. 5-5
Open Access | Times Cited: 54
Salvatore Carta, Andrea Medda, Alessio Pili, et al.
Future Internet (2018) Vol. 11, Iss. 1, pp. 5-5
Open Access | Times Cited: 54
Computational intelligence techniques for medical diagnosis and prognosis: Problems and current developments
Afzal Hussain Shahid, Maheshwari Prasad Singh
Journal of Applied Biomedicine (2019) Vol. 39, Iss. 3, pp. 638-672
Closed Access | Times Cited: 46
Afzal Hussain Shahid, Maheshwari Prasad Singh
Journal of Applied Biomedicine (2019) Vol. 39, Iss. 3, pp. 638-672
Closed Access | Times Cited: 46
A Fuzzy Rule-Based System for Classification of Diabetes
Khalid Mahmood Aamir, Laiba Sarfraz, Muhammad Ramzan, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8095-8095
Open Access | Times Cited: 33
Khalid Mahmood Aamir, Laiba Sarfraz, Muhammad Ramzan, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8095-8095
Open Access | Times Cited: 33
Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis
Fatemeh Mansourypoor, Shahrokh Asadi
Computers in Biology and Medicine (2017) Vol. 91, pp. 337-352
Closed Access | Times Cited: 47
Fatemeh Mansourypoor, Shahrokh Asadi
Computers in Biology and Medicine (2017) Vol. 91, pp. 337-352
Closed Access | Times Cited: 47
EMDID: Evolutionary multi-objective discretization for imbalanced datasets
Marzieh Hajizadeh Tahan, Shahrokh Asadi
Information Sciences (2017) Vol. 432, pp. 442-461
Closed Access | Times Cited: 31
Marzieh Hajizadeh Tahan, Shahrokh Asadi
Information Sciences (2017) Vol. 432, pp. 442-461
Closed Access | Times Cited: 31
Evolutionary fuzzification of RIPPER for regression: Case study of stock prediction
Shahrokh Asadi
Neurocomputing (2018) Vol. 331, pp. 121-137
Closed Access | Times Cited: 28
Shahrokh Asadi
Neurocomputing (2018) Vol. 331, pp. 121-137
Closed Access | Times Cited: 28
Application of Kansei engineering and data mining in the Thai ceramic manufacturing
Chaiwat Kittidecha, Kōichi Yamada
Journal of industrial engineering international (2018) Vol. 14, Iss. 4, pp. 757-766
Open Access | Times Cited: 25
Chaiwat Kittidecha, Kōichi Yamada
Journal of industrial engineering international (2018) Vol. 14, Iss. 4, pp. 757-766
Open Access | Times Cited: 25
MEMOD: a novel multivariate evolutionary multi-objective discretization
Marzieh Hajizadeh Tahan, Shahrokh Asadi
Soft Computing (2017) Vol. 22, Iss. 1, pp. 301-323
Closed Access | Times Cited: 24
Marzieh Hajizadeh Tahan, Shahrokh Asadi
Soft Computing (2017) Vol. 22, Iss. 1, pp. 301-323
Closed Access | Times Cited: 24
Development of a coupled wavelet transform and evolutionary L evenberg‐M arquardt neural networks for hydrological process modeling
Peyman Abbaszadeh, Atieh Alipour, Shahrokh Asadi
Computational Intelligence (2017) Vol. 34, Iss. 1, pp. 175-199
Open Access | Times Cited: 23
Peyman Abbaszadeh, Atieh Alipour, Shahrokh Asadi
Computational Intelligence (2017) Vol. 34, Iss. 1, pp. 175-199
Open Access | Times Cited: 23
Customer Behavior Mining Framework (CBMF) using clustering and classification techniques
Farshid Abdi, Shaghayegh Abolmakarem
Journal of industrial engineering international (2018) Vol. 15, Iss. S1, pp. 1-18
Open Access | Times Cited: 23
Farshid Abdi, Shaghayegh Abolmakarem
Journal of industrial engineering international (2018) Vol. 15, Iss. S1, pp. 1-18
Open Access | Times Cited: 23
Complexity-based parallel rule induction for multiclass classification
Shahrokh Asadi, Jamal Shahrabi
Information Sciences (2016) Vol. 380, pp. 53-73
Closed Access | Times Cited: 21
Shahrokh Asadi, Jamal Shahrabi
Information Sciences (2016) Vol. 380, pp. 53-73
Closed Access | Times Cited: 21
Decision Support System for Stock Portfolio Selection Using Artificial Intelligence and Machine Learning
Sandeep Patalay, Madhusudhan Rao Bandlamudi
Ingénierie des systèmes d information (2021) Vol. 26, Iss. 1, pp. 87-93
Open Access | Times Cited: 17
Sandeep Patalay, Madhusudhan Rao Bandlamudi
Ingénierie des systèmes d information (2021) Vol. 26, Iss. 1, pp. 87-93
Open Access | Times Cited: 17
An Exploration of the Fuzzy Inference System for the Daily Trading Decision and Its Performance Analysis Based on Fuzzy MCDM Methods
C. Veeramani, R. Venugopal, S. Muruganandan
Computational Economics (2022) Vol. 62, Iss. 3, pp. 1313-1340
Closed Access | Times Cited: 9
C. Veeramani, R. Venugopal, S. Muruganandan
Computational Economics (2022) Vol. 62, Iss. 3, pp. 1313-1340
Closed Access | Times Cited: 9
Enhancing daily stock trading with a novel fuzzy indicator: Performance analysis using Z-number based fuzzy TOPSIS method
R. Venugopal, C. Veeramani, S. A. Edalatpanah
Results in Control and Optimization (2023) Vol. 14, pp. 100365-100365
Open Access | Times Cited: 3
R. Venugopal, C. Veeramani, S. A. Edalatpanah
Results in Control and Optimization (2023) Vol. 14, pp. 100365-100365
Open Access | Times Cited: 3
Multitarget prediction—A new approach using sphere complex fuzzy sets
Chia-Hao Tu, Chunshien Li
Engineering Applications of Artificial Intelligence (2019) Vol. 79, pp. 45-57
Closed Access | Times Cited: 8
Chia-Hao Tu, Chunshien Li
Engineering Applications of Artificial Intelligence (2019) Vol. 79, pp. 45-57
Closed Access | Times Cited: 8
A novel hybrid meta-heuristic technique applied to the well-known benchmark optimization problems
Amir‐Reza Abtahi, Afsane Bijari
Journal of industrial engineering international (2016) Vol. 13, Iss. 1, pp. 93-105
Open Access | Times Cited: 7
Amir‐Reza Abtahi, Afsane Bijari
Journal of industrial engineering international (2016) Vol. 13, Iss. 1, pp. 93-105
Open Access | Times Cited: 7
ANDROID APPLICATION FOR DETECTION OF SKIN CANCER USING EXPERT SYSTEM
Yogi Udjaja
Social Economics and Ecology International Journal (SEEIJ) (2018) Vol. 2, Iss. 1, pp. 1-8
Closed Access | Times Cited: 6
Yogi Udjaja
Social Economics and Ecology International Journal (SEEIJ) (2018) Vol. 2, Iss. 1, pp. 1-8
Closed Access | Times Cited: 6
Machine Learning Techniques for Stock Prediction System: A Comprehensive Review
Ankit Mishra, Neha Bhutiani, Sahil Neelam, et al.
SSRN Electronic Journal (2024)
Closed Access
Ankit Mishra, Neha Bhutiani, Sahil Neelam, et al.
SSRN Electronic Journal (2024)
Closed Access
Synthesis of expert matrices in inductive system-analytical research based on fuzzy logic algorithm
Volodymyr Osypenko, Hanna Korohod, Borys Zlotenko, et al.
Eastern-European Journal of Enterprise Technologies (2024) Vol. 4, Iss. 4 (130), pp. 54-62
Open Access
Volodymyr Osypenko, Hanna Korohod, Borys Zlotenko, et al.
Eastern-European Journal of Enterprise Technologies (2024) Vol. 4, Iss. 4 (130), pp. 54-62
Open Access