Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
Jing Ma, Yushun Dong, Zheng Huang, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2678-2686
Open Access | Times Cited: 22

Showing 22 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 124
COVID-19 Modeling: A Review
Longbing Cao, Qing Liu
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 21
Estimating Causal Effects on Networked Observational Data via Representation Learning
Song Jiang, Yizhou Sun
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 852-861
Open Access | Times Cited: 12
Learning causality with graphs
Jing Ma, Jundong Li
AI Magazine (2022) Vol. 43, Iss. 4, pp. 365-375
Open Access | Times Cited: 10
When Causal Inference Meets Graph Machine Learning
Jing Ma
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22676-22676
Open Access | Times Cited: 1
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection
Jing Ma, Chen Chen, Anil Vullikanti, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4584-4594
Open Access | Times Cited: 4
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
Bohan Jiang, Lu Cheng, Zhen Tan, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2024), pp. 1-10
Open Access | Times Cited: 1
Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey
Wajid Ali, Wanli Zuo, Rahman Ali, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10064-10064
Open Access | Times Cited: 11
Causal Effect Estimation on Hierarchical Spatial Graph Data
Koh Takeuchi, Ryo Nishida, Hisashi Kashima, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2145-2154
Open Access | Times Cited: 2
A game theory-based COVID-19 close contact detecting method with edge computing collaboration
Yue Shen, Bowen Liu, Xiaoyu Xia, et al.
Computer Communications (2023) Vol. 207, pp. 36-45
Open Access | Times Cited: 2
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
Yushun Dong, Binchi Zhang, Zhenyu Lei, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 621-630
Open Access
A survey of out‐of‐distribution generalization for graph machine learning from a causal view
Jing Ma
AI Magazine (2024)
Open Access
Interpretable AI-driven causal inference to uncover the time-varying effects of PM2.5 and public health interventions on COVID-19 infection rates
Yang Han, Jacqueline C. K. Lam, Victor O. K. Li, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access
CRTRE: Causal Rule Generation with Target Trial Emulation Framework
Junda Wang, Weijian Li, Han Wang, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 144-158
Closed Access
State-Of-The-Art and Challenges in Causal Inference on Graphs: Confounders and Interferences
J. H. Chou, Jiangzhuo Chen, Madhav Marathe
(2024), pp. 1-13
Closed Access
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
Zijie Huang, JeeHyun Hwang, Junkai Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4607-4617
Open Access
Game and Reference: Efficient Policy Making for Epidemic Prevention and Control
Zhiyi Tan, Bing-Kun Bao
Research Square (Research Square) (2024)
Open Access
Game and reference: efficient policy making for epidemic prevention and control
Zhiyi Tan, Bing-Kun Bao
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training
Qiang Huang, Jing Ma, Jundong Li, et al.
Lecture notes in computer science (2023), pp. 400-417
Closed Access | Times Cited: 1
Causal Inference on Graphs
Jing Ma, Ruocheng Guo, Jundong Li
Springer eBooks (2023), pp. 53-78
Closed Access | Times Cited: 1
Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan
Zhiwen Zhang, Hongjun Wang, Zipei Fan, et al.
(2023), pp. 3524-3533
Closed Access
Modeling Publication Collection and Processing
Longbing Cao
Data analytics (2023), pp. 149-158
Closed Access
Page 1

Scroll to top