OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Analysis of the socioeconomic impact due to COVID-19 using a deep clustering approach
Yullys M. Quintero, Douglas Ardila, José Aguilar, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109606-109606
Open Access | Times Cited: 6

Showing 6 citing articles:

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd
Jianheng Tang, Kejia Fan, Wenxuan Xie, et al.
Computer Communications (2023) Vol. 206, pp. 85-100
Open Access | Times Cited: 6

Semi-supervised deep density clustering
Xiao Xu, Haiwei Hou, Shifei Ding
Applied Soft Computing (2023) Vol. 148, pp. 110903-110903
Closed Access | Times Cited: 5

The application of machine learning for demand prediction under macroeconomic volatility: a systematic literature review
Manuel Muth, Michael Lingenfelder, Gerd Nufer
Management Review Quarterly (2024)
Open Access | Times Cited: 1

Dynamic Time Warping: Intertemporal Clustering Alignments for Hotel Tourism Demand
Miguel Ángel Ruiz Reina
Computational Economics (2024)
Closed Access | Times Cited: 1

Evaluating the Performance of Countries in COVID-19 Management: A Data-Driven Decision-Making and Clustering
Hamed Meraji, D Rahimi, Ardavan Babaei, et al.
Applied Soft Computing (2024), pp. 112549-112549
Closed Access

Page 1

Scroll to top