Check computer science papers: citations, claims and retractions

Efficient Live Migration of Edge Services Leveraging Container Layered Storage

Ma, L., Yi, S., Carter, N., & Li, Q. (2019) · IEEE Transactions on Mobile Computing

IoT and Edge/Fog ComputingIPv6, Mobility, Handover, Networks, Security

Cited by 175

EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange

Akkaoui, R., Hei, X., & Cheng, W. (2020) · IEEE Access

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 175

Quantum Algorithms to Simulate Many-Body Physics of Correlated Fermions

Jiang, Z., Sung, K. J., Kechedzhi, K., Smelyanskiy, V. N., & Boixo, S. (2018) · Physical Review Applied

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 175

Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making

Fernandes, M., Walls, L., Munson, S., Hullman, J., & Kay, M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsHuman-Automation Interaction and Safety

Cited by 175

Shared Autonomy via Deep Reinforcement Learning

Reddy, S., Dragan, A., & Levine, S. (2018) · Robotics: Science and Systems XIV

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 175

Attribute Attention for Semantic Disambiguation in Zero-Shot Learning

Liu, Y., Guo, J., Cai, D., & He, X. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 175

Therapist-led and self-led one-session virtual reality exposure therapy for public speaking anxiety with consumer hardware and software: a randomized controlled trial

Lindner, P., Miloff, A., Fagernäs, S., Andersen, J., Sigeman, M., Andersson, G., Furmark, T., & Carlbring, P. (2019) · Journal of Anxiety Disorders

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 175

The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards

Holland, S., Hosny, A., Newman, S., Joseph, J., & Chmielinski, K. (2018) · arXiv

Ethics and Social Impacts of AIData Quality and Management

Cited by 175

Conversations Gone Awry: Detecting Early Signs of Conversational Failure

Zhang, J., Chang, J., Danescu-Niculescu-Mizil, C., Dixon, L., Hua, Y., Taraborelli, D., & Thain, N. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsLanguage, Discourse, Communication Strategies

Cited by 175

"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters

Wan, Y., Pu, G., Sun, J., Garimella, A., Chang, K.-W., & Peng, N. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 175

How powerful is adiabatic quantum computation?

van Dam, W., Mosca, M., & Vazirani, U. (2001) · Proceedings 42nd IEEE Symposium on Foundations of Computer Science

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 175

Preparing for Responsible Sharing of Clinical Trial Data

Mello, M. M., Francer, J. K., Wilenzick, M., Teden, P., Bierer, B. E., & Barnes, M. (2013) · New England Journal of Medicine

Research Data Management PracticesEthics in Clinical Research

Cited by 175

QuestEval: Summarization Asks for Fact-based Evaluation

Scialom, T., Dray, P.-A., Lamprier, S., Piwowarski, B., Staiano, J., Wang, A., & Gallinari, P. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingAdvanced Text Analysis Techniques

Cited by 175

Finding flows of a Navier–Stokes fluid through quantum computing

Gaitan, F. (2020) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 175

Independent real‐world application of a clinical‐grade automated prostate cancer detection system

da Silva, L. M., Pereira, E. M., Salles, P. G., Godrich, R., Ceballos, R., Kunz, J. D., Casson, A., Viret, J., Chandarlapaty, S., Ferreira, C. G., et al. (2021) · The Journal of Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 175

Cyber security in the maritime industry: a systematic survey of recent advances and future trends

Ben Farah, M. A., Ukwandu, E., Hindy, H., Brosset, D., Bures, M., Andonovic, I., & Bellekens, X. (2022) · Information

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 175

Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning

Abunasser, B., AL-Hiealy, M. R., Zaqout, I., & Abu-Naser, S. (2023) · Asian Pacific Journal of Cancer Prevention

AI in cancer detectionMRI in cancer diagnosis

Cited by 174

On Pearl’s Hierarchy and the Foundations of Causal Inference

Bareinboim, E., Correa, J. D., Ibeling, D., & Icard, T. (2022) · Probabilistic and Causal Inference

Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques

Cited by 174

Trust management in a blockchain based fog computing platform with trustless smart oracles

Kochovski, P., Gec, S., Stankovski, V., Bajec, M., & Drobintsev, P. D. (2019) · Future Generation Computer Systems

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 174

Field evaluation of a random forest activity classifier for wrist-worn accelerometer data

Pavey, T. G., Gilson, N. D., Gomersall, S. R., Clark, B., & Trost, S. G. (2017) · Journal of Science and Medicine in Sport

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 174

Secure data sharing and searching at the edge of cloud-assisted internet of things

Mollah, M. B., Azad, M. A. K., & Vasilakos, A. (2017) · IEEE Cloud Computing

IoT and Edge/Fog ComputingCloud Data Security Solutions

Cited by 174

Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods

Cao, Y., Zhao, H., Cheng, Y., Shu, T., Chen, Y., Liu, G., Liang, G., Zhao, J., Yan, J., & Li, Y. (2025) · IEEE Transactions on Neural Networks and Learning Systems

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 174

UAV-Based Real-Time Survivor Detection System in Post-Disaster Search and Rescue Operations

Dong, J., Ota, K., & Dong, M. (2021) · IEEE Journal on Miniaturization for Air and Space Systems

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 174

INFTY: an integrated OCR system for mathematical documents

Suzuki, M., Tamari, F., Fukuda, R., Uchida, S., & Kanahori, T. (2003) · Proceedings of the 2003 ACM symposium on Document engineering

Handwritten Text Recognition TechniquesMathematics, Computing, and Information Processing

Cited by 174