Check computer science papers: citations, claims and retractions

3D–2D registration in mobile radiographs: algorithm development and preliminary clinical evaluation

Otake, Y., Wang, A. S., Uneri, A., Kleinszig, G., Vogt, S., Aygun, N., Lo, S.-F. L., Wolinsky, J.-P., Gokaslan, Z. L., & Siewerdsen, J. H. (2015) · Physics in Medicine & Biology

Medical Image Segmentation TechniquesRadiation Dose and Imaging

Cited by 41

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Zhao, G., Ni, C., Wang, X., Zhu, Z., Zhang, X., Wang, Y., Huang, G., Chen, X., Wang, B., Zhang, Y., et al. (2024) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 41

Human-in-the-loop reinforcement learning in continuous-action space

Luo, B., Wu, Z., Zhou, F., & Wang, B.-C. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 41

The Error Behind The Message: Finding the Cause of Error Messages in Python

Kohn, T. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 41

HTTP security headers analysis of top one million websites

Lavrenovs, A., & Melon, F. J. R. (2018) · 2018 10th International Conference on Cyber Conflict (CyCon)

Web Application Security VulnerabilitiesInformation and Cyber Security

Cited by 41

Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing

Garimella, A., Banea, C., Hovy, D., & Mihalcea, R. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesAuthorship Attribution and Profiling

Cited by 41

Smart Contract Vulnerability Detection: The Role of Large Language Model (LLM)

Boi, B., Esposito, C., & Lee, S. (2024) · ACM SIGAPP Applied Computing Review

Blockchain Technology Applications and SecuritySoftware Engineering Research

Cited by 41

The evolution of software development orchestration: current state and an agenda for future research

Maruping, L. M., & Matook, S. (2020) · European Journal of Information Systems

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 41

Polynomial simulations of decohered quantum computers

Aharonov, D., & Ben-Or, M. (2002) · Proceedings of 37th Conference on Foundations of Computer Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 41

Deep learning applications in telerehabilitation speech therapy scenarios

Mulfari, D., La Placa, D., Rovito, C., Celesti, A., & Villari, M. (2022) · Computers in Biology and Medicine

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 41

Variational Quantum Gate Optimization

Heya, K., Suzuki, Y., Nakamura, Y., & Fujii, K. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 41

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

Bengio, Y., Cohen, M., Fornasiere, D., Ghosn, J., Greiner, P., MacDermott, M., Mindermann, S., Oberman, A., Richardson, J., Richardson, O., et al. (2025) · SuperIntelligence - Robotics - Safety & Alignment

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 41

Knowledge Graphs and Their Reciprocal Relationship with Large Language Models

Dehal, R. S., Sharma, M., & Rajabi, E. (2025) · Machine Learning and Knowledge Extraction

Topic ModelingAdvanced Graph Neural Networks

Cited by 41

Raziel: Private and Verifiable Smart Contracts on Blockchains

Sánchez, D. C. (2018) · arXiv

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 41

Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing

Chen, Q., Bragg, J., Chilton, L. B., & Weld, D. S. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingMulti-Agent Systems and Negotiation

Cited by 41

Two‐stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra‐reader and inter‐reader reliability at full and reduced radiation dose on an external dataset

Panda, A., Korfiatis, P., Suman, G., Garg, S. K., Polley, E. C., Singh, D. P., Chari, S. T., & Goenka, A. H. (2021) · Medical Physics

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 41

A comparison of accurate automatic hippocampal segmentation methods

Zandifar, A., Fonov, V., Coupé, P., Pruessner, J., & Collins, D. L. (2017) · NeuroImage

Medical Image Segmentation TechniquesDementia and Cognitive Impairment Research

Cited by 41

Generating Product Descriptions from User Reviews

Novgorodov, S., Guy, I., Elad, G., & Radinsky, K. (2019) · The World Wide Web Conference

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 41

A Survey of Exploration Methods in Reinforcement Learning

Amin, S., Gomrokchi, M., Satija, H., van Hoof, H., & Precup, D. (2021) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 41

A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty

Peretroukhin, V., Giamou, M., Nicholas Greene, W., Rosen, D., Kelly, J., & Roy, N. (2020) · Robotics: Science and Systems XVI

Robotics and Sensor-Based LocalizationAdvanced Neural Network Applications

Cited by 41

Cyberattack Detection Systems in Industrial Internet of Things (IIoT) Networks in Big Data Environments

Orman, A. (2025) · Applied Sciences

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 41

Cryptanalysis and Improvement in a Plaintext-Related Image Encryption Scheme Based on Hyper Chaos

Liu, L., Zhang, Z., & Chen, R. (2019) · IEEE Access

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 41

Applying sparse autoencoders to unlearn knowledge in language models

Farrell, E., Lau, Y.-T., & Conmy, A. (2024) · arXiv

Privacy-Preserving Technologies in DataExplainable Artificial Intelligence (XAI)

Cited by 41

Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm

Streif, M., Yarkoni, S., Skolik, A., Neukart, F., & Leib, M. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 41