Check computer science papers: citations, claims and retractions

Topological Strata of Weighted Complex Networks

Petri, G., Scolamiero, M., Donato, I., & Vaccarino, F. (2013) · PLoS ONE

Topological and Geometric Data AnalysisComplex Network Analysis Techniques

Cited by 214

Efficient algorithms for maximum likelihood decoding in the surface code

Bravyi, S., Suchara, M., & Vargo, A. (2014) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 214

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Ren, S., Guo, D., Lu, S., Zhou, L., Liu, S., Tang, D., Sundaresan, N., Zhou, M., Blanco, A., & Ma, S. (2020) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 214

Benchmarking in Optimization: Best Practice and Open Issues

Bartz-Beielstein, T., Doerr, C., Berg, D. V. D., Bossek, J., Chandrasekaran, S., Eftimov, T., Fischbach, A., Kerschke, P., La Cava, W., Lopez-Ibanez, M., et al. (2020) · arXiv

Metaheuristic Optimization Algorithms ResearchAdvanced Optimization Algorithms Research

Cited by 214

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

Srinivasan, K., Raman, K., Chen, J., Bendersky, M., & Najork, M. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 214

A Taxonomy of Software Engineering Challenges for Machine Learning Systems: An Empirical Investigation

Lwakatare, L. E., Raj, A., Bosch, J., Olsson, H. H., & Crnkovic, I. (2019) · Lecture Notes in Business Information Processing

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 214

Securing smart cities through blockchain technology: architecture, requirements, and challenges

Hakak, S., Khan, W. Z., Gilkar, G. A., Imran, M., & Guizani, N. (2020) · IEEE Network

Blockchain Technology Applications and SecuritySmart Cities and Technologies

Cited by 214

Learning for Computation Offloading in Mobile Edge Computing

Dinh, T. Q., La, Q. D., Quek, T. Q. S., & Shin, H. (2018) · IEEE Transactions on Communications

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 214

Artificial intelligence and mass personalization of communication content -An ethical and literacy perspective

Hermann, E. (2022) · New Media & Society

Ethics and Social Impacts of AITechnology's Impact on Media

Cited by 214

A novel hybrid GWO-SCA approach for optimization problems

Singh, N., & Singh, S. B. (2017) · Engineering Science and Technology, an International Journal

Metaheuristic Optimization Algorithms ResearchAdvanced Optimization Algorithms Research

Cited by 214

Computational thinking and mathematics using Scratch: an experiment with sixth-grade students

Rodríguez-Martínez, J. A., González-Calero, J. A., & Sáez-López, J. M. (2020) · Interactive Learning Environments

Teaching and Learning ProgrammingMathematics Education and Teaching Techniques

Cited by 214

AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting

Kestin, G., Miller, K., Klales, A., Milbourne, T., & Ponti, G. (2025) · Scientific Reports

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 214

Approximate quantum error correction can lead to better codes

Leung, D. W., Nielsen, M. A., Chuang, I. L., & Yamamoto, Y. (1997) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 214

Two-handed direct manipulation on the responsive workbench

Cutler, L. D., Frölich, B., & Hanrahan, P. (1997) · Proceedings of the 1997 symposium on Interactive 3D graphics - SI3D '97

Interactive and Immersive DisplaysTeleoperation and Haptic Systems

Cited by 214

Overcoming catastrophic forgetting with hard attention to the task

Serrà, J., Surís, D., Miron, M., & Karatzoglou, A. (2018) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 213

Optimal Feature Selection and Deep Learning Ensembles Method for Emotion Recognition From Human Brain EEG Sensors

Majid Mehmood, R., Du, R., & Lee, H. J. (2017) · IEEE Access

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 213

Deep representation learning of electronic health records to unlock patient stratification at scale

Landi, I., Glicksberg, B. S., Lee, H.-C., Cherng, S., Landi, G., Danieletto, M., Dudley, J. T., Furlanello, C., & Miotto, R. (2020) · npj Digital Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 213

Optimal quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks

Li, C., & Lo, K.-T. (2011) · Signal Processing

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 213

Topological analysis of population activity in visual cortex

Singh, G., Memoli, F., Ishkhanov, T., Sapiro, G., Carlsson, G., & Ringach, D. L. (2008) · Journal of Vision

Topological and Geometric Data AnalysisNeural dynamics and brain function

Cited by 213

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

Bansal, A., Russell, B., & Gupta, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisAdvanced Image and Video Retrieval Techniques

Cited by 213

Artificial Intelligence as an Effective Classroom Assistant

du Boulay, B. (2016) · IEEE Intelligent Systems

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 213

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability

Wu, M., Hughes, M., Parbhoo, S., Zazzi, M., Roth, V., & Doshi-Velez, F. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Machine Learning in Healthcare

Cited by 213

Cancellable biometrics and annotations on biohash

Teoh, A. B. J., Kuan, Y. W., & Lee, S. (2008) · Pattern Recognition

Biometric Identification and SecurityUser Authentication and Security Systems

Cited by 213

Mapping the Landscape of Human-Level Artificial General Intelligence

Adams, S. S., Arel, I., Bach, J., Coop, R., Furlan, R., Goertzel, B., Hall, J. S., Samsonovich, A., Scheutz, M., Schlesinger, M., et al. (2012) · AI Magazine

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 213