Check computer science papers: citations, claims and retractions

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Yang, J., Shi, R., Wei, D., Liu, Z., Zhao, L., Ke, B., Pfister, H., & Ni, B. (2023) · Scientific Data

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,043

Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model

Chao, C.-M. (2019) · Frontiers in Psychology

Mobile Learning in EducationTechnology Adoption and User Behaviour

Cited by 1,041

Explainable machine learning for scientific insights and discoveries

Roscher, R., Bohn, B., Duarte, M. F., & Garcke, J. (2020) · IEEE Access

Explainable Artificial Intelligence (XAI)Scientific Computing and Data Management

Cited by 1,040

Big Transfer (BiT): General Visual Representation Learning

Kolesnikov, A., Beyer, L., Zhai, X., Puigcerver, J., Yung, J., Gelly, S., & Houlsby, N. (2019) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,039

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Chen, X., Liu, C., Li, B., Lu, K., & Song, D. (2017) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 1,039

DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones

Jiang, L., Misherghi, G., Su, Z., & Glondu, S. (2007) · 29th International Conference on Software Engineering (ICSE'07)

Software Engineering ResearchData Quality and Management

Cited by 1,039

The Fog Computing Paradigm: Scenarios and Security Issues

Stojmenovic, I., & Wen, S. (2014) · Annals of Computer Science and Information Systems

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 1,037

Learning and relearning in Boltzmann machines

Hinton, G. E., & Sejnowski, T. J. (2001) · Graphical Models

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 1,037

Wireless Sensor Networks: Technology, Protocols, and Applications

Sohraby, K., Minoli, D., & Znati, T. (2007) · Wiley eBooks

Energy Efficient Wireless Sensor NetworksWireless Sensor Networks and IoT

Cited by 1,037

A survey of MRI-based medical image analysis for brain tumor studies

Bauer, S., Wiest, R., Nolte, L.-P., & Reyes, M. (2013) · Physics in Medicine and Biology

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,036

Augmented reality for STEM learning: A systematic review

Ibáñez, M.-B., & Delgado-Kloos, C. (2018) · Computers & Education

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 1,036

A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities

Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications

Software-Defined Networks and 5GNetwork Security and Intrusion Detection

Cited by 1,036

A Simple Unpredictable Pseudo-Random Number Generator

Blum, L., Blum, M., & Shub, M. (1986) · SIAM Journal on Computing

Cryptography and Residue ArithmeticAnalytic Number Theory Research

Cited by 1,036

Describing Videos by Exploiting Temporal Structure

Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C., Larochelle, H., & Courville, A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 1,035

Report on Post-Quantum Cryptography

Chen, L., Jordan, S., Liu, Y.-K., Moody, D., Peralta, R., Perlner, R., & Smith-Tone, D. (2016)

Cryptography and Data SecurityCryptography and Residue Arithmetic

Cited by 1,034

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S., et al. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 1,034

The future of crowd work

Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M., & Horton, J. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work

Mobile Crowdsensing and CrowdsourcingDigital Economy and Work Transformation

Cited by 1,034

Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Warden, P. (2018) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,033

An adaptive variational algorithm for exact molecular simulations on a quantum computer

Grimsley, H. R., Economou, S. E., Barnes, E., & Mayhall, N. J. (2019) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1,033

Client-Edge-Cloud Hierarchical Federated Learning

Liu, L., Zhang, J., Song, S. H., & Letaief, K. B. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 1,033

A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data

Goldstein, M., & Uchida, S. (2016) · PLOS ONE

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 1,032

A Systematic Review of Social Presence: Definition, Antecedents, and Implications

Oh, C. S., Bailenson, J. N., & Welch, G. F. (2018) · Frontiers in Robotics and AI

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 1,032

The Variational Quantum Eigensolver: A review of methods and best practices

Tilly, J., Chen, H., Cao, S., Picozzi, D., Setia, K., Li, Y., Grant, E., Wossnig, L., Rungger, I., Booth, G. H., et al. (2022) · Physics Reports

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1,031

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

Wang, X., Han, Y., Wang, C., Zhao, Q., Chen, X., & Chen, M. (2019) · IEEE Network

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 1,030