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:

A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce
Ragipati Karthik, Sannasi Ganapathy
Applied Soft Computing (2021) Vol. 108, pp. 107396-107396
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis
Diego García‐Zamora, Álvaro Labella, Weiping Ding, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 6, pp. 949-966
Closed Access | Times Cited: 86

Business Intelligent Framework Using Sentiment Analysis for Smart Digital Marketing in the E-Commerce Era
Khin Sandar Kyaw, Praman Tepsongkroh, Chanwut Thongkamkaew, et al.
Asia Social Issues (2023) Vol. 16, Iss. 3, pp. e252965-e252965
Open Access | Times Cited: 28

A novel framework for an intelligent deep learning based product recommendation system using sentiment analysis (SA)
Roshy Thomas, J. R. Jeba
Automatika (2024) Vol. 65, Iss. 2, pp. 410-424
Open Access | Times Cited: 9

Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review
Jie Lü, Guangzhi Ma, Guangquan Zhang
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 7, pp. 3861-3878
Open Access | Times Cited: 8

A robust incomplete large-scale group decision-making model for metaverse metro operations and maintenance
Wenhui Bai, Chao Zhang, Yanhui Zhai, et al.
Applied Soft Computing (2024) Vol. 156, pp. 111472-111472
Closed Access | Times Cited: 7

Sentiment analysis of amazon user reviews using a hybrid approach
J. Sangeetha, U. Kumaran
Measurement Sensors (2023) Vol. 27, pp. 100790-100790
Open Access | Times Cited: 17

Advancing consumer insights: efficient sentiment analysis-based recommendation system using multi-criteria decision making with a game theoretic approach
Vince Wanhao Zhang, Guansu Wang, Noreen Izza Arshad, et al.
Annals of Operations Research (2025)
Closed Access

A Comprehensive Analysis of Machine Learning and Deep Learning Based Product Recommendation System
G. Kalyan Chakravarthi, Raghvendra Kumar, Ssvr Kumar Addagarla
(2025), pp. 306-327
Closed Access

Bayesian game model based unsupervised sentiment analysis of product reviews
Neha Punetha, Goonjan Jain
Expert Systems with Applications (2022) Vol. 214, pp. 119128-119128
Closed Access | Times Cited: 24

A hybrid optimization algorithm using BiLSTM structure for sentiment analysis
J. Sangeetha, U. Kumaran
Measurement Sensors (2022) Vol. 25, pp. 100619-100619
Open Access | Times Cited: 24

An automatic college library book recommendation system using optimized Hidden Markov based weighted fuzzy ranking model
Monika Verma, Pawan Kumar Patnaik
Engineering Applications of Artificial Intelligence (2024) Vol. 130, pp. 107664-107664
Closed Access | Times Cited: 4

Unleashing the power of artificial intelligence in Islamic banking: A case study of Bank Syariah Indonesia (BSI)
Issa Hamadou, Aimatul Yumna, Hawaou Hamadou, et al.
Modern Finance (2024) Vol. 2, Iss. 1, pp. 131-144
Open Access | Times Cited: 4

Sentiment Analysis on E-Commerce Product Reviews Using Machine Learning and Deep Learning Algorithms: A Bibliometric Analysis, Systematic Literature Review, Challenges and Future Works
Alfredo Daza Vergaray, Néstor Daniel González Rueda, Mirelly Sonia Aguilar Sánchez, et al.
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100267-100267
Open Access | Times Cited: 4

Study on a User Preference Conversational Recommender Based on a Knowledge Graph
Ganglong Duan, Shanshan Xie, Yutong Du
Electronics (2025) Vol. 14, Iss. 3, pp. 632-632
Open Access

High-Reputation Food Formulas: A Heterogeneous Information Network Representation and Semantic Analysis Approach
Hongfei Cui, Rui Yan, Qi Cao, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2375-2375
Open Access

A context and sequence-based recommendation framework using GRU networks
R. V. Karthik, V. Pandiyaraju, Sannasi Ganapathy
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access

XGBRS Framework Integrated with Word2Vec Sentiment Analysis for Augmented Drug Recommendation
Shweta Paliwal, Amit Kumar Mishra, Ram Krishn Mishra, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 3, pp. 5345-5362
Open Access | Times Cited: 20

E-learning course recommendation based on sentiment analysis using hybrid Elman similarity
N. Vedavathi, Anil Kumar K.M.
Knowledge-Based Systems (2022) Vol. 259, pp. 110086-110086
Closed Access | Times Cited: 19

Sentiment analysis using fuzzy logic: A comprehensive literature review
Srishti Vashishtha, Vedika Gupta, Mamta Mittal
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 5
Closed Access | Times Cited: 10

An Efficient Approach of Product Recommendation System using NLP Technique
Akhilesh Sharma, Bhavna Bajpai, Rachit Adhvaryu, et al.
Materials Today Proceedings (2021) Vol. 80, pp. 3730-3743
Closed Access | Times Cited: 24

A Survey on Recommendation Systems using Collaborative Filtering Techniques
R. Prabakaran, J. Pradeepkandhasamy, M. Arun
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 1445-1450
Closed Access | Times Cited: 9

Recommendation Systems for e-Shopping: Review of Techniques for Retail and Sustainable Marketing
George Stalidis, Iphigenia Karaveli, Konstantinos Diamantaras, et al.
Sustainability (2023) Vol. 15, Iss. 23, pp. 16151-16151
Open Access | Times Cited: 9

Enhanced Music Recommendation Systems: A Comparative Study of Content-Based Filtering and K-Means Clustering Approaches
Sayak Mukhopadhyay, Akshay Kumar, Deepak Parashar, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 365-376
Open Access | Times Cited: 3

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