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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:

Towards Out-Of-Distribution Generalization: A Survey
Zheyan Shen, Jiashuo Liu, Yue He, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang, Cuiling Lan, Chang Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 499
Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 3, pp. 1-39
Open Access | Times Cited: 369
Deep Long-Tailed Learning: A Survey
Yifan Zhang, Bingyi Kang, Bryan Hooi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10795-10816
Open Access | Times Cited: 271
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 126
A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 106
SoK: Certified Robustness for Deep Neural Networks
Linyi Li, Tao Xie, Bo Li
2022 IEEE Symposium on Security and Privacy (SP) (2023), pp. 1289-1310
Open Access | Times Cited: 64
All in One: Multi-Task Prompting for Graph Neural Networks
Xiangguo Sun, Hong Cheng, Jia Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2120-2131
Open Access | Times Cited: 50
Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works
Chao Tao, Ji Qi, Mingning Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-26
Open Access | Times Cited: 47
Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey
Naveen Karunanayake, Ravin Gunawardena, Suranga Seneviratne, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 1
Deep Long-Tailed Learning: A Survey
Yifan Zhang, Bingyi Kang, Bryan Hooi, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 75
Learning disentangled representations in the imaging domain
Xiao Liu, Pedro Sanchez, Spyridon Thermos, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102516-102516
Open Access | Times Cited: 54
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye, Kaican Li, Haoyue Bai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 42
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 39
NICO++: Towards Better Benchmarking for Domain Generalization
Xingxuan Zhang, Yue He, Renzhe Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 16036-16047
Open Access | Times Cited: 35
Alleviating Structural Distribution Shift in Graph Anomaly Detection
Yuan Gao, Xiang Wang, Xiangnan He, et al.
(2023)
Open Access | Times Cited: 25
Invariant Collaborative Filtering to Popularity Distribution Shift
An Zhang, Jingnan Zheng, Xiang Wang, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 23
A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement
Fan Jia, Hok Shing Wong, Tiange Wang, et al.
Pattern Recognition (2023) Vol. 144, pp. 109823-109823
Closed Access | Times Cited: 22
How to build the virtual cell with artificial intelligence: Priorities and opportunities
Charlotte Bunne, Yusuf Roohani, Yanay Rosen, et al.
Cell (2024) Vol. 187, Iss. 25, pp. 7045-7063
Open Access | Times Cited: 11
Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics
Milena Pavlović, Ghadi S. Al Hajj, Chakravarthi Kanduri, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 1, pp. 15-24
Closed Access | Times Cited: 9
Is neuro-symbolic AI meeting its promises in natural language processing? A structured review
Kyle Hamilton, Aparna Nayak, Bojan Božić, et al.
Semantic Web (2022) Vol. 15, Iss. 4, pp. 1265-1306
Open Access | Times Cited: 33
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation
Yue He, Zimu Wang, Peng Cui, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 410-421
Open Access | Times Cited: 32
Estimating Throughput in Optical Backbone Networks Using Deep Neural Networks
Alexandre Freitas, João Pires
Deleted Journal (2025)
Open Access
Accelerated Hydration Site Localization and Thermodynamic Profiling
Florian B. Hinz, Matthew R. Masters, James Nguyen, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Causal invariant geographic network representations with feature and structural distribution shifts
Yuhan Wang, Silu He, Qinyao Luo, et al.
Future Generation Computer Systems (2025), pp. 107814-107814
Closed Access
Genomics enters the deep learning era
Etienne Routhier, Julien Mozziconacci
PeerJ (2022) Vol. 10, pp. e13613-e13613
Open Access | Times Cited: 27
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