Check computer science papers: citations, claims and retractions

Estimating the Total Volume of Queries to a Search Engine

Lillo, F., & Ruggieri, S. (2022) · IEEE Transactions on Knowledge and Data Engineering

Information Retrieval and Search BehaviorCensus and Population Estimation

Cited by 4

Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments

Huang, S., Hu, J., Chen, H., Cui, P., Piao, H., Sun, L., & Yang, B. (2025) · IEEE Transactions on Industrial Informatics

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 4

Variational Autoencoders (VAEs) for Anomaly Detection

Tahir, S. (2024) · Advances in Digital Crime, Forensics, and Cyber Terrorism

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 4

Memory Mosaics at scale

Zhang, J., & Bottou, L. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4

The Impacts of Test Driven Development on Code Coverage

Taufiqurrahman, F., Widowati, S., & Alibasa, M. J. (2022) · 2022 1st International Conference on Software Engineering and Information Technology (ICoSEIT)

Software Testing and Debugging TechniquesSoftware Engineering Techniques and Practices

Cited by 4

Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision

Huang, X., Shen, Z., Dong, P., & Cheng, K.-T. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4

Predicting Quality Measure Completion Among 14 Million Low‐Income Patients Enrolled in Medicaid

Patel, S. Y., Barnett, M. L., & Basu, S. (2025) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 4

HADQ-Net: A Power-Efficient and Hardware-Adaptive Deep Convolutional Neural Network Translator Based on Quantization-Aware Training for Hardware Accelerators

Oflamaz, C. U., & Yalçın, M. E. (2025) · Electronics

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 4

Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone

Mihalcea, R., Ignat, O., Bai, L., Borah, A., Chiruzzo, L., Jin, Z., Kwizera, C., Nwatu, J., Poria, S., & Solorio, T. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 4

Advanced Neural Networks for Multimodal Data Fusion in Interdisciplinary Research

Dhivya, K., Kumar, S. N., Victoria, D. R. S., Sherly, S. I., & Durgadevi, G. (2024) · Advances in IT Standards and Standardization Research

Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques

Cited by 4

A sharp phase transition in linear cross-entropy benchmarking

Ware, B., Deshpande, A., Hangleiter, D., Niroula, P., Fefferman, B., Gorshkov, A. V., & Gullans, M. J. (2023) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 4

Image adaptive encryption using EfficientNet B3 feature guided multi scroll chaotic map with modulo controlled pseudo parallel processing

Subathra, S., & Thanikaiselvan, V. (2025) · Scientific Reports

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 4

The expressive power of transformers with chain of thought

Merrill, W., & Sabharwal, A. (2023) · arXiv

semigroups and automata theoryComputability, Logic, AI Algorithms

Cited by 4

The cryptanalysis of the Rabin public key algorithm using the Fermat factorization method

Budiman, M. A., Rachmawati, D., & Utami, R. (2019) · Journal of Physics: Conference Series

Cryptography and Residue ArithmeticCryptography and Data Security

Cited by 4

Learning skeletal articulations with neural blend shapes

Li, P., Aberman, K., Hanocka, R., Liu, L., Sorkine-Hornung, O., & Chen, B. (2021) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 4

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Paster, K., Santos, M. D., Azerbayev, Z., & Ba, J. (2023) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 4

A Survey of Generative AI for Detecting Pedophilia Crimes

Silva, F., Silva, R. R., & Bernardino, J. (2025) · Applied Sciences

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 4

Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level

Ding, J., Cen, Y., & Wei, X. (2023) · arXiv

Topic ModelingArtificial Intelligence in Education

Cited by 4

YOLO v10-Based Brain Tumor Detection: An Innovative Approach in CT Imaging

Byeon, H. (2024) · Nanotechnology Perceptions

Brain Tumor Detection and ClassificationAI in cancer detection

Cited by 4

Vibing the Young Consumer to Wellness: Exploring Lo-Fi Music Consumption Through the Positive Design Lens

Dsouza, M. P., Shetty, A., D’Souza, S. E., Buthello, E., & Gudi, N. (2025) · Sage Open

Innovative Human-Technology InteractionNostalgia and Consumer Behavior

Cited by 4

Systematic Review of UML Diagramming Software Tools for Higher Education Software Engineering Courses

Lu, Y., & Alexandru, C. A. (2023) · The United Kingdom and Ireland Computing Education Research (UKICER) conference

Model-Driven Software Engineering TechniquesSoftware Engineering Techniques and Practices

Cited by 4

MRMMIA: Membership Inference Attacks on Memory in Chat Agents

Chen, K., Pang, Y., & Wang, T. (2026) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 4

Autonomous detection and evaluation of deepfakes: a comprehensive study

Sunil, R., Mer, P., & Diwan, A. (2023) · 2023 Seventh International Conference on Image Information Processing (ICIIP)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 4

Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation

Jeong, J., Jang, H., & Park, H. (2025) · Findings of the Association for Computational Linguistics: NAACL 2025

Topic ModelingLinguistics and Discourse Analysis

Cited by 4