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:

Research on Understanding the Effect of Deep Learning on User Preferences
Garima Gupta, Rahul Katarya
Arabian Journal for Science and Engineering (2020) Vol. 46, Iss. 4, pp. 3247-3286
Closed Access | Times Cited: 14

Showing 14 citing articles:

Automatic emotion recognition using deep neural network
R. Sujatha, Jyotir Moy Chatterjee, Baibhav Pathy, et al.
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 2

Contrastive learning based self-supervised time-series analysis
Johannes Pöppelbaum, Gavneet Singh Chadha, Andreas Schwung
Applied Soft Computing (2022) Vol. 117, pp. 108397-108397
Closed Access | Times Cited: 64

Music Deep Learning: Deep Learning Methods for Music Signal Processing—A Review of the State-of-the-Art
Lazaros Moysis, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, et al.
IEEE Access (2023) Vol. 11, pp. 17031-17052
Open Access | Times Cited: 18

Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction
Dingming Wu, Xiaolong Wang, Shaocong Wu
Expert Systems with Applications (2021) Vol. 191, pp. 116257-116257
Open Access | Times Cited: 39

Digital media entertainment technology based on artificial intelligence robot in art teaching simulation
Xiayan Liao, Peng Cao
Entertainment Computing (2024) Vol. 52, pp. 100792-100792
Closed Access | Times Cited: 3

Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review, Taxonomy, Issues, and Future Directions
Muhammad Alrashidi, Ali Selamat, Roliana Ibrahim, et al.
IEEE Access (2023) Vol. 11, pp. 63874-63894
Open Access | Times Cited: 6

EnPSO: An AutoML Technique for Generating Ensemble Recommender System
Garima Gupta, Rahul Katarya
Arabian Journal for Science and Engineering (2021) Vol. 46, Iss. 9, pp. 8677-8695
Closed Access | Times Cited: 11

Deep transfer learning with multimodal embedding to tackle cold-start and sparsity issues in recommendation system
Syed Irteza Hussain Jafri, Rozaida Ghazali, Irfan Javid, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0273486-e0273486
Open Access | Times Cited: 6

A novel approach to alleviate data sparsity and generate dynamic fruit recommendations from point‐of‐sale data
Garima Gupta, Rahul Katarya
Concurrency and Computation Practice and Experience (2022) Vol. 35, Iss. 1
Closed Access | Times Cited: 5

Transfer learning model for cash-instrument prediction adopting a Transformer derivative
Ling Feng, Ananta Sinchai
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 3, pp. 102000-102000
Open Access

Deep Learning-Based Business Recommendation System in Intelligent Vehicles
Kyungho Yu, Kiho Lim, Pankoo Kim
Mobile Information Systems (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 1

A Survey on Explainability in Artificial Intelligence
Prarthana Dutta, Naresh Babu Muppalaneni, Ripon Patgiri
Advances in wireless technologies and telecommunication book series (2021), pp. 55-75
Closed Access | Times Cited: 1

Parallel Computing in Problems of Classification of Teenagers Based on Analysis of Digital Traces
Vera Zhuravleva, A. S. Manicheva, Denis Yu. Kozlov
Communications in computer and information science (2022), pp. 210-220
Closed Access

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