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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:

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

A survey on large language models for recommendation
Likang Wu, Zhi Zheng, Zhaopeng Qiu, et al.
World Wide Web (2024) Vol. 27, Iss. 5
Closed Access | Times Cited: 65
Dense Text Retrieval Based on Pretrained Language Models: A Survey
Wayne Xin Zhao, Jing Liu, Ruiyang Ren, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 4, pp. 1-60
Open Access | Times Cited: 56
Data-efficient Fine-tuning for LLM-based Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 365-374
Open Access | Times Cited: 27
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges
Jiajia Wang, Jimmy Xiangji Huang, Xinhui Tu, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 7, pp. 1-33
Open Access | Times Cited: 18
A scientific-article key-insight extraction system based on multi-actor of fine-tuned open-source large language models
Zihan Song, Grace M. Hwang, Xin Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
DDASR: Deep Diverse API Sequence Recommendation
Siyu Nan, Jian Wang, Neng Zhang, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Closed Access | Times Cited: 1
Robust Information Retrieval
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, et al.
(2025), pp. 1008-1011
Closed Access | Times Cited: 1
Set-Encoder: Permutation-Invariant Inter-passage Attention for Listwise Passage Re-ranking with Cross-Encoders
Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, et al.
Lecture notes in computer science (2025), pp. 1-19
Closed Access | Times Cited: 1
Enhancing Recommendation Diversity by Re-ranking with Large Language Models
Diego Carraro, Derek Bridge
ACM Transactions on Recommender Systems (2024)
Open Access | Times Cited: 8
Ranked List Truncation for Large Language Model-based Re-Ranking
Chuan Meng, Negar Arabzadeh, Arian Askari, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 141-151
Open Access | Times Cited: 7
Assessing the Efficacy of ChatGPT Versus Human Researchers in Identifying Relevant Studies on mHealth Interventions for Improving Medication Adherence in Patients With Ischemic Stroke When Conducting Systematic Reviews: Comparative Analysis
Suebsarn Ruksakulpiwat, Lalipat Phianhasin, Chitchanok Benjasirisan, et al.
JMIR mhealth and uhealth (2024) Vol. 12, pp. e51526-e51526
Open Access | Times Cited: 6
When Search Engine Services meet Large Language Models: Visions and Challenges
Haoyi Xiong, 将尚 渡辺, Yuchen Li, et al.
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 6, pp. 4558-4577
Open Access | Times Cited: 5
Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers
Negar Arabzadeh, Amin Bigdeli, Charles L. A. Clarke
Lecture notes in computer science (2024), pp. 399-414
Closed Access | Times Cited: 4
Evaluating Generative Ad Hoc Information Retrieval
Lukas Gienapp, Harrisen Scells, Niklas Deckers, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1916-1929
Closed Access | Times Cited: 4
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1391-1400
Open Access | Times Cited: 4
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
Zheqi Lv, Tony L. T. Zhan, Wenjie Wang, et al.
(2025), pp. 962-973
Open Access
CTRL: Connect Collaborative and Language Model for CTR Prediction
Xiangyang Li, Bo Chen, Lu Hou, et al.
ACM Transactions on Recommender Systems (2025)
Open Access
Expert-level policy style measurement via knowledge distillation with large language model collaboration
Yujie Zhang, Biao Huang, Weikang Yuan, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104090-104090
Closed Access
Assessing Generalization Capability of Text Ranking Models in Polish
Sławomir Dadas, Małgorzata Grębowiec
Lecture notes in computer science (2025), pp. 37-49
Closed Access
An Investigation of Prompt Variations for Zero-Shot LLM-Based Rankers
Shuoqi Sun, Shengyao Zhuang, Shuai Wang, et al.
Lecture notes in computer science (2025), pp. 185-201
Closed Access
Can Large Language Models Effectively Rerank News Articles for Background Linking?
Marwa Essam, Tamer Elsayed
Lecture notes in computer science (2025), pp. 328-342
Closed Access
Rank-Without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
Crystina Zhang, Sebastian Hofstätter, Patrick Lewis, et al.
Lecture notes in computer science (2025), pp. 233-247
Closed Access
Evaluating Auto-complete Ranking for Diversity and Relevance
Sonali Singh, Sachin Farfade, Prakash Mandayam Comar
Lecture notes in computer science (2025), pp. 326-340
Closed Access
Guiding Retrieval Using LLM-Based Listwise Rankers
Mandeep Rathee, Sean MacAvaney, Avishek Anand
Lecture notes in computer science (2025), pp. 230-246
Closed Access
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track
Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, et al.
Lecture notes in computer science (2025), pp. 132-148
Closed Access
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