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:

An Exploratory Study of Information Cocoon on Short-form Video Platform
Nian Li, Chen Gao, Jinghua Piao, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 4178-4182
Open Access | Times Cited: 12

Showing 12 citing articles:

“How I Form and Escape Information Cocoons”: An Interview Study of Users on Short Video Apps
Manyu Sheng, Pengyi Zhang
Lecture notes in computer science (2024), pp. 129-138
Closed Access | Times Cited: 3

Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation
Nicholas Sukiennik, Chen Gao, Nian Li
Proceedings of the ACM Web Conference 2022 (2024), pp. 4727-4735
Open Access | Times Cited: 2

User Behavior Simulation with Large Language Model-based Agents for Recommender Systems
Lei Wang, Jingsen Zhang, Hao Yang, et al.
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 1

Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform
Nian Li, Yunzhu Pan, Chen Gao, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4565-4574
Closed Access

Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework
Cheng Wu, Shaoyun Shi, Chaokun Wang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3756-3766
Closed Access

Formal Analysis on Interaction Flow and Information Cocoon Based on Probabilistic Graph
Jian Liu, Shaohua Zhang, Siying Yan, et al.
(2024), pp. 96-100
Closed Access

Heavy users fail to fall into filter bubbles: evidence from a Chinese online video platform
Chenbo Fu, Qiushun Che, Zhanghao Li, et al.
Frontiers in Physics (2024) Vol. 12
Open Access

Information cocooning and polarization of opinions in a mobile population
Jiang Dong, Qionglin Dai, Haihong Li, et al.
Physica A Statistical Mechanics and its Applications (2024), pp. 130322-130322
Closed Access

The Influence of Information Cocoons on Modern Consumers
Linxuan Niu, Rui Tian, Isabella Chen, et al.
Advances in economics, business and management research/Advances in Economics, Business and Management Research (2023), pp. 420-431
Open Access

Are Heavy Users More Prone to Filter Bubbles?
Chenbo Fu, Qiushun Che, Zhanghao Li, et al.
(2023)
Closed Access

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