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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:

Toward creating a fairer ranking in search engine results
Ruoyuan Gao, Chirag Shah
Information Processing & Management (2019) Vol. 57, Iss. 1, pp. 102138-102138
Closed Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Trick and Please. A Mixed-Method Study On User Assumptions About the TikTok Algorithm
Daniel Klug, Yiluo Qin, Morgan Evans, et al.
(2021), pp. 84-92
Open Access | Times Cited: 117
Multi-objective optimization with recommender systems: A systematic review
Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak
Information Systems (2023) Vol. 117, pp. 102233-102233
Closed Access | Times Cited: 24
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers
Navid Rekabsaz, Simone Kopeinik, Markus Schedl
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)
Open Access | Times Cited: 44
Investigating the themes in supply chain finance: the emergence of blockchain as a disruptive technology
Berk Küçükaltan, Rıfat Kamaşak, Baris Yalcinkaya, et al.
International Journal of Production Research (2022) Vol. 62, Iss. 22, pp. 8173-8192
Open Access | Times Cited: 36
Public awareness and attitudes towards search engine optimization
Dirk Lewandowski, Sebastian Schultheiß
Behaviour and Information Technology (2022) Vol. 42, Iss. 8, pp. 1025-1044
Open Access | Times Cited: 32
Control search rankings, control the world: what is a good search engine?
Simon Coghlan, Hui Xian Chia, Falk Scholer, et al.
AI and Ethics (2025)
Open Access
Evaluating Stochastic Rankings with Expected Exposure
Fernando Díaz, Bhaskar Mitra, Michael D. Ekstrand, et al.
(2020), pp. 275-284
Open Access | Times Cited: 48
Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms
Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, et al.
Information Processing & Management (2020) Vol. 57, Iss. 6, pp. 102377-102377
Open Access | Times Cited: 42
DeepFair: Deep Learning for Improving Fairness in Recommender Systems
Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, et al.
International Journal of Interactive Multimedia and Artificial Intelligence (2021) Vol. 6, Iss. 6, pp. 86-86
Open Access | Times Cited: 34
Evaluation metrics for measuring bias in search engine results
Gizem Gezi̇ci, Aldo Lipani, Yücel Saygın, et al.
Information Retrieval (2021) Vol. 24, Iss. 2, pp. 85-113
Open Access | Times Cited: 33
When Fairness Meets Consistency in AHP Pairwise Comparisons
Zorica Dodevska, Sandro Radovanović, Andrija Petrović, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 604-604
Open Access | Times Cited: 14
Viewpoint Diversity in Search Results
Tim Draws, Nirmal Roy, Oana Inel, et al.
Lecture notes in computer science (2023), pp. 279-297
Open Access | Times Cited: 14
The impact of search engine optimization and website engagement towards customer buying behaviour
Ahed Al-Haraizah, Fadi Abdelfattah, Shafique Ur Rehman, et al.
Global Knowledge Memory and Communication (2025)
Closed Access
Inequality and inequity in network-based ranking and recommendation algorithms
Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 21
This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics
Tim Draws, Nava Tintarev, Ujwal Gadiraju, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)
Open Access | Times Cited: 26
Explainable Cross-Topic Stance Detection for Search Results
Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, et al.
(2023), pp. 221-235
Open Access | Times Cited: 9
Explainability for Transparent Conversational Information-Seeking
Weronika Łajewska, Damiano Spina, Johanne R. Trippas, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1040-1050
Open Access | Times Cited: 3
The Quality of Infectious Disease Hospital Websites in Poland in Light of the COVID-19 Pandemic
Karol Król, Dariusz Zdonek
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 2, pp. 642-642
Open Access | Times Cited: 20
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search
Yunhe Feng, Chirag Shah
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 11, pp. 11882-11890
Open Access | Times Cited: 13
Balancing Act: Boosting Strategies for Informed Search on Controversial Topics
Markus Bink, David Elsweiler
(2024), pp. 254-265
Closed Access | Times Cited: 2
Measuring Bias in a Ranked List Using Term-Based Representations
Amin Abolghasemi, Leif Azzopardi, Arian Askari, et al.
Lecture notes in computer science (2024), pp. 3-19
Closed Access | Times Cited: 2
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas, et al.
(2024), pp. 1-10
Closed Access | Times Cited: 2
Machine learning’s limitations in avoiding automation of bias
Daniel Varona, Yadira Lizama-Mué, Juan Luis Suárez
AI & Society (2020) Vol. 36, Iss. 1, pp. 197-203
Closed Access | Times Cited: 18
What are you optimizing for? Aligning Recommender Systems with Human Values
Jonathan Stray, Ivan Vendrov, Jeremy Nixon, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 16
Why is a document relevant? Understanding the relevance scores in cross-lingual document retrieval
Erik Novak, Luka Bizjak, Dunja Mladenić, et al.
Knowledge-Based Systems (2022) Vol. 244, pp. 108545-108545
Open Access | Times Cited: 11
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