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:

Advances and challenges in conversational recommender systems: A survey
Chongming Gao, Wenqiang Lei, Xiangnan He, et al.
AI Open (2021) Vol. 2, pp. 100-126
Open Access | Times Cited: 206

Showing 1-25 of 206 citing articles:

Human-Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature Review
Luminiţa Nicolescu, Monica Teodora Tudorache
Electronics (2022) Vol. 11, Iss. 10, pp. 1579-1579
Open Access | Times Cited: 133

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Xiaolei Wang, Kun Zhou, Ji-Rong Wen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)
Open Access | Times Cited: 79

GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation
Zheng Lian, Lan Chen, Licai Sun, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-14
Open Access | Times Cited: 49

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
Chongming Gao, Shiqi Wang, Shijun Li, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-27
Open Access | Times Cited: 45

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Yang Deng, Yaliang Li, Fei Sun, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)
Open Access | Times Cited: 93

KuaiRec
Chongming Gao, Shijun Li, Wenqiang Lei, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 540-550
Open Access | Times Cited: 64

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
Chongming Gao, Shijun Li, Yuan Zhang, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 3953-3957
Open Access | Times Cited: 54

Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
Scott Sanner, Krisztian Balog, Filip Radlinski, et al.
(2023), pp. 890-896
Open Access | Times Cited: 39

Can AI chatbots help retain customers? An integrative perspective using affordance theory and service-domain logic
Chia‐Ying Li, Yu‐Hui Fang, Yu-Hung Chiang
Technological Forecasting and Social Change (2023) Vol. 197, pp. 122921-122921
Open Access | Times Cited: 29

A survey on fairness-aware recommender systems
Di Jin, Luzhi Wang, He Zhang, et al.
Information Fusion (2023) Vol. 100, pp. 101906-101906
Open Access | Times Cited: 28

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
Chongming Gao, Kexin Huang, Jiawei Chen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 238-248
Open Access | Times Cited: 25

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
Xiaolei Wang, Xinyu Tang, Xin Zhao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 23

Leveraging language representation for materials exploration and discovery
Jiaxing Qu, Yuxuan Richard Xie, Kamil Ciesielski, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 13

Knowledge-based recommender systems: overview and research directions
Mathias Uta, Alexander Felfernig, Viet-Man Le, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 12

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Junjie Zhang, Ruobing Xie, Yupeng Hou, et al.
ACM transactions on office information systems (2024)
Open Access | Times Cited: 11

A Challenge-based Survey of E-recruitment Recommendation Systems
Yoosof Mashayekhi, Nan Li, Bo Kang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-33
Open Access | Times Cited: 9

Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang, Tinglin Huang, Dingxian Wang, et al.
(2021), pp. 878-887
Open Access | Times Cited: 54

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems
Allen Lin, Jianling Wang, Ziwei Zhu, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Open Access | Times Cited: 27

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning
Yi Zhao, Chaozhuo Li, Jiquan Peng, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 1488-1497
Closed Access | Times Cited: 20

A Survey on Reinforcement Learning for Recommender Systems
Yuanguo Lin, Yong Liu, Fan Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13164-13184
Open Access | Times Cited: 17

Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook
Baihan Lin
Expert Systems with Applications (2023) Vol. 238, pp. 122254-122254
Open Access | Times Cited: 17

MuseChat: A Conversational Music Recommendation System for Videos
Zhikang Dong, Xiulong Liu, Bin Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 12775-12785
Closed Access | Times Cited: 7

Multi-aspect Knowledge-enhanced Hypergraph Attention Network for Conversational Recommendation Systems
Xiaokang Li, Yihao Zhang, Yonghao Huang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112119-112119
Closed Access | Times Cited: 5

Large Language Models are Learnable Planners for Long-Term Recommendation
Wentao Shi, Xiangnan He, Yang Zhang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1893-1903
Open Access | Times Cited: 5

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