Check computer science papers: citations, claims and retractions

Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions Over Knowledge Graphs

Chen, Y., Li, H., Qi, G., Wu, T., & Wang, T. (2023) · IEEE Transactions on Knowledge and Data Engineering

Topic ModelingSemantic Web and Ontologies

Cited by 41

A Comprehensive Survey for Deep-Learning-Based Abnormality Detection in Smart Grids with Multimodal Image Data

Zhou, F., Wen, G., Ma, Y., Geng, H., Huang, R., Pei, L., Yu, W., Chu, L., & Qiu, R. (2022) · Applied Sciences

Anomaly Detection Techniques and ApplicationsElectricity Theft Detection Techniques

Cited by 41

Revealing Impact Factors on Student Engagement: Learning Analytics Adoption in Online and Blended Courses in Higher Education

Fan, S., Chen, L., Nair, M., Garg, S., Yeom, S., Kregor, G., Yang, Y., & Wang, Y. (2021) · Education Sciences

Online Learning and AnalyticsOnline and Blended Learning

Cited by 41

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning

Zhao, C., Jiang, J., Guan, Y., Guo, X., & He, B. (2018) · Artificial Intelligence in Medicine

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 41

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models

Shao, Y., Jiang, Y., Kanell, T., Xu, P., Khattab, O., & Lam, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 41

Estimation of the Number of Passengers in a Bus Using Deep Learning

Hsu, Y.-W., Chen, Y.-W., & Perng, J.-W. (2020) · Sensors

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 41

FisheyeMODNet: Moving Object Detection on Surround-view Cameras for Autonomous Driving

Yahiaoui, M. (2019) · TU Dublin

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 41

Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs

Zheng, H., Xiong, H., Chen, J., Ma, H., & Huang, G. (2024) · IEEE Transactions on Computational Social Systems

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 41

Quantum analogue computing

Kendon, V. M., Nemoto, K., & Munro, W. J. (2010) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 41

DwaRa: A Deep Learning-Based Dynamic Toll Pricing Scheme for Intelligent Transportation Systems

Shukla, A., Bhattacharya, P., Tanwar, S., Kumar, N., & Guizani, M. (2020) · IEEE Transactions on Vehicular Technology

Blockchain Technology Applications and SecurityTraffic Prediction and Management Techniques

Cited by 41

The Resource Identification Initiative: a cultural shift in publishing

Bandrowski, A., Brush, M., Grethe, J. S., Haendel, M. A., Kennedy, D. N., Hill, S., Hof, P. R., Martone, M. E., Pols, M., Tan, S. C., et al. (2016) · Journal of Comparative Neurology

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 41

Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

Ghosh, D., Rahme, J., Kumar, A., Zhang, A., Adams, R. P., & Levine, S. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 41

Collecting a large-scale gender bias dataset for coreference resolution and machine translation

Levy, S., Lazar, K., & Stanovsky, G. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 41

MOMENT: a family of open time-series foundation models

Goswami, M., Szafer, K., Choudhry, A., Cai, Y., Li, S., & Dubrawski, A. (2024) · arXiv

Time Series Analysis and ForecastingStock Market Forecasting Methods

Cited by 41

Three lines of defense against risks from AI

Schuett, J. (2025) · AI & SOCIETY

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 41

Generating Sequences by Learning to Self-Correct

Welleck, S., Lu, X., West, P., Brahman, F., Shen, T., Khashabi, D., & Choi, Y. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 41

Secure Partial Aggregation: Making Federated Learning More Robust for Industry 4.0 Applications

Gao, J., Zhang, B., Guo, X., Baker, T., Li, M., & Liu, Z. (2022) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 41

A Risk-Assessment Model for Cyber Attacks on Information Systems

Patel, S., & Zaveri, J. (2010) · Journal of Computers

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 41

Revisiting neural scaling laws in language and vision

Alabdulmohsin, I., Neyshabur, B., & Zhai, X. (2022) · Advances in Neural Information Processing Systems 35

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 41

Quantum simulation of interacting high-dimensional systems: The influence of noise

Dür, W., Bremner, M. J., & Briegel, H. J. (2008) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 41

Design and evaluation of a foveated video streaming service for commodity client devices

Ryoo, J., Yun, K., Samaras, D., Das, S. R., & Zelinsky, G. (2016) · Proceedings of the 7th International Conference on Multimedia Systems

Video Coding and Compression TechnologiesImage and Video Quality Assessment

Cited by 41

An Energy-Efficient and Blockchain-Integrated Software Defined Network for the Industrial Internet of Things

Asaithambi, S., Ravi, L., Kotb, H., Milyani, A. H., Azhari, A. A., Nallusamy, S., Varadarajan, V., & Vairavasundaram, S. (2022) · Sensors

Blockchain Technology Applications and SecuritySoftware-Defined Networks and 5G

Cited by 41

Detecting differences across multiple instances of code clones

Lin, Y., Xing, Z., Xue, Y., Liu, Y., Peng, X., Sun, J., & Zhao, W. (2014) · Proceedings of the 36th International Conference on Software Engineering

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 41

Mapping fetal brain development based on automated segmentation and 4D brain atlasing

Li, H., Yan, G., Luo, W., Liu, T., Wang, Y., Liu, R., Zheng, W., Zhang, Y., Li, K., Zhao, L., et al. (2021) · Brain Structure and Function

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 41