Check computer science papers: citations, claims and retractions

Digital health strategies to fight COVID-19 worldwide: Challenges, recommendations, and a call for papers

Fagherazzi, G., Goetzinger, C., Rashid, M. A., Aguayo, G. A., & Huiart, L. (2020) · Journal of Medical Internet Research

COVID-19 Digital Contact TracingMobile Health and mHealth Applications

Cited by 426

Splitting the organization and integrating the code: Conway's law revisited

Herbsleb, J. D., & Grinter, R. E. (1999) · Proceedings of the 21st international conference on Software engineering

Software Engineering Techniques and PracticesTeam Dynamics and Performance

Cited by 425

A 2D Quantum Walk Simulation of Two-Particle Dynamics

Schreiber, A., Gábris, A., Rohde, P. P., Laiho, K., Štefaňák, M., Potoček, V., Hamilton, C., Jex, I., & Silberhorn, C. (2012) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 425

Using learning analytics to scale the provision of personalised feedback

Pardo, A., Jovanovic, J., Dawson, S., Gašević, D., & Mirriahi, N. (2019) · British Journal of Educational Technology

Online Learning and AnalyticsStudent Assessment and Feedback

Cited by 425

Transforming Experience: The Potential of Augmented Reality and Virtual Reality for Enhancing Personal and Clinical Change

Riva, G., Baños, R. M., Botella, C., Mantovani, F., & Gaggioli, A. (2016) · Frontiers in Psychiatry

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 425

Stupid tutoring systems, intelligent humans

Baker, R. S. (2016) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 425

Efficient Classical Simulation of Continuous Variable Quantum Information Processes

Bartlett, S. D., Sanders, B. C., Braunstein, S. L., & Nemoto, K. (2002) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 425

On the naturalness of software

Hindle, A., Barr, E. T., Su, Z., Gabel, M., & Devanbu, P. (2012) · 2012 34th International Conference on Software Engineering (ICSE)

Software Engineering ResearchNatural Language Processing Techniques

Cited by 425

A characterization of Markov equivalence classes for acyclic digraphs

Andersson, S. A., Madigan, D., & Perlman, M. D. (1997) · The Annals of Statistics

Bayesian Modeling and Causal InferenceStatistical Methods and Inference

Cited by 425

Communication-Efficient Distributed Optimization using an Approximate Newton-type Method

Shamir, O., Srebro, N., & Zhang, T. (2013) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 424

Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation

Kwon, Y., Won, J.-H., Kim, B. J., & Paik, M. C. (2020) · Computational Statistics & Data Analysis

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 424

Deepfake Video Detection through Optical Flow Based CNN

Amerini, I., Galteri, L., Caldelli, R., & Del Bimbo, A. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 424

Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning

Fang, H., & Qian, Q. (2021) · Future Internet

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 424

Lightweight Cryptography Algorithms for Resource-Constrained IoT Devices: A Review, Comparison and Research Opportunities

Thakor, V. A., Razzaque, M. A., & Khandaker, M. R. A. (2021) · IEEE Access

Cryptographic Implementations and SecurityCryptography and Residue Arithmetic

Cited by 424

Computationally sound proofs

Micali, S. (2000) · SIAM Journal on Computing

Complexity and Algorithms in GraphsComputability, Logic, AI Algorithms

Cited by 424

Measuring facial expressions by computer image analysis

Bartlett, M. S., Hager, J. C., Ekman, P., & Sejnowski, T. J. (1999) · Psychophysiology

Emotion and Mood RecognitionFace recognition and analysis

Cited by 424

Hierarchical Federated Learning ACROSS Heterogeneous Cellular Networks

Abad, M. S. H., Ozfatura, E., GUndUz, D., & Ercetin, O. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 424

Emergent Tool Use From Multi-Agent Autocurricula

Baker, B., Kanitscheider, I., Markov, T., Wu, Y., Powell, G., McGrew, B., & Mordatch, I. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 424

Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results

Wicherts, J. M., Bakker, M., & Molenaar, D. (2011) · PLoS ONE

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 424

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Gliwa, B., Mochol, I., Biesek, M., & Wawer, A. (2019) · Proceedings of the 2nd Workshop on New Frontiers in Summarization

Speech and dialogue systemsTopic Modeling

Cited by 424

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework

Wu, Q., He, K., & Chen, X. (2020) · IEEE Open Journal of the Computer Society

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 424

Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification

Zhuang, C., & Ma, Q. (2018) · Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 423

Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors

Shoaib, M., Bosch, S., Incel, O., Scholten, H., & Havinga, P. (2016) · Sensors

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 423

An Actor-Critic Algorithm for Sequence Prediction

Bahdanau, D., Brakel, P., Xu, K., Goyal, A., Lowe, R., Pineau, J., Courville, A., & Bengio, Y. (2016) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 423