Check computer science papers: citations, claims and retractions

Demonstrating the viability of universal quantum computation using teleportation and single-qubit operations

Gottesman, D., & Chuang, I. L. (1999) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,860

Computer-aided diagnosis in medical imaging: historical review, current status and future potential

Doi, K. (2007) · Computerized Medical Imaging and Graphics

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 1,855

The Inmates are Running the Asylum

Cooper, A. (1999) · Berichte des German Chapter of the ACM

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 1,855

The tail at scale

Dean, J., & Barroso, L. A. (2013) · Communications of the ACM

Software System Performance and ReliabilityDistributed systems and fault tolerance

Cited by 1,852

How video production affects student engagement: an empirical study of MOOC videos

Guo, P. J., Kim, J., & Rubin, R. (2014) · Proceedings of the first ACM conference on Learning @ scale conference

Online Learning and AnalyticsVisual and Cognitive Learning Processes

Cited by 1,850

Spectre Attacks: Exploiting Speculative Execution

Kocher, P., Genkin, D., Gruss, D., Haas, W., Hamburg, M., Lipp, M., Mangard, S., Prescher, T., Schwarz, M., & Yarom, Y. (2018) · arXiv

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 1,850

FILTER BUBBLE: Wie wir im Internet entmündigt werden

Pariser, E. (2012) · Carl Hanser Verlag GmbH & Co. KG eBooks

Digital Media and PhilosophyMedia and Digital Communication

Cited by 1,849

Learning to detect unseen object classes by between-class attribute transfer

Lampert, C. H., Nickisch, H., & Harmeling, S. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,849

Apache Hadoop YARN: yet another resource negotiator

Vavilapalli, V. K., Murthy, A. C., Douglas, C., Agarwal, S., Konar, M., Evans, R., Graves, T., Lowe, J., Shah, H., Seth, S., et al. (2013) · Proceedings of the 4th annual Symposium on Cloud Computing

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 1,848

Planning chemical syntheses with deep neural networks and symbolic AI

Segler, M. H. S., Preuss, M., & Waller, M. P. (2018) · Nature

Computational Drug Discovery MethodsAI-based Problem Solving and Planning

Cited by 1,847

Rainbow: Combining Improvements in Deep Reinforcement Learning

Hessel, M., Modayil, J., Van Hasselt, H., Schaul, T., Ostrovski, G., Dabney, W., Horgan, D., Piot, B., Azar, M., & Silver, D. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1,846

Artificial intelligence in cancer imaging: Clinical challenges and applications

Bi, W. L., Hosny, A., Schabath, M. B., Giger, M. L., Birkbak, N. J., Mehrtash, A., Allison, T., Arnaout, O., Abbosh, C., Dunn, I. F., et al. (2019) · CA: A Cancer Journal for Clinicians

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 1,846

Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics

Li, Y., Yang, X., Sun, P., Qi, H., & Lyu, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 1,846

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Clark, K., Luong, M.-T., Le, Q. V., & Manning, C. D. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,844

Proof-carrying code

Necula, G. C. (1997) · Proceedings of the 24th ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '97

Logic, programming, and type systemsSecurity and Verification in Computing

Cited by 1,843

Blockchain for IoT security and privacy: The case study of a smart home

Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 1,843

Machine Learning Interpretability: A Survey on Methods and Metrics

Carvalho, D. V., Pereira, E. M., & Cardoso, J. S. (2019) · Electronics

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,842

ChatGPT: five priorities for research

van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023) · Nature

Artificial Intelligence ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 1,842

Quantum Machine Learning in Feature Hilbert Spaces

Schuld, M., & Killoran, N. (2019) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,840

What are the learning affordances of 3‐D virtual environments?

Dalgarno, B., & Lee, M. J. W. (2010) · British Journal of Educational Technology

Virtual Reality Applications and ImpactsEducational Games and Gamification

Cited by 1,840

Learnability and the Vapnik-Chervonenkis dimension

Blumer, A., Ehrenfeucht, A., Haussler, D., & Warmuth, M. K. (1989) · Journal of the ACM

Machine Learning and AlgorithmsComputability, Logic, AI Algorithms

Cited by 1,839

RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response

Erlingsson, Ú., Pihur, V., & Korolova, A. (2014) · Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting

Cited by 1,838

Deformable DETR: Deformable Transformers for End-to-End Object Detection

Zhu, X., Su, W., Lu, L., Li, B., Wang, X., & Dai, J. (2020) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,837

A Survey of the Usages of Deep Learning for Natural Language Processing

Otter, D. W., Medina, J. R., & Kalita, J. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems

Natural Language Processing TechniquesTopic Modeling

Cited by 1,836