Check computer science papers: citations, claims and retractions

Security and Privacy in the Internet of Things

Maple, C. (2017) · Journal of Cyber Policy

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 316

Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach

Wang, S., Wang, J., Wang, X., Qiu, T., Yuan, Y., Ouyang, L., Guo, Y., & Wang, F.-Y. (2018) · IEEE Transactions on Computational Social Systems

Blockchain Technology Applications and SecurityArtificial Intelligence in Healthcare

Cited by 316

Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT

Lu, Y., Huang, X., Zhang, K., Maharjan, S., & Zhang, Y. (2021) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 316

Quantifying the Effect of Code Smells on Maintenance Effort

Sjoberg, D. I. K., Yamashita, A., Anda, B. C. D., Mockus, A., & Dyba, T. (2013) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 316

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Hsieh, C.-Y., Li, C.-L., Yeh, C.-K., Nakhost, H., Fujii, Y., Ratner, A., Krishna, R., Lee, C.-Y., & Pfister, T. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 316

Understanding Artificial Intelligence Ethics and Safety: A Guide for the Responsible Design and Implementation of AI Systems in the Public Sector

Leslie, D. (2020) · SSRN Electronic Journal

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 316

Geometric Type-1 and Type-2 Fuzzy Logic Systems

Coupland, S., & John, R. (2007) · IEEE Transactions on Fuzzy Systems

Fuzzy Logic and Control SystemsAdvanced Algebra and Logic

Cited by 316

Segmentation Labels for the Pre-operative Scans of the TCGA-GBM collection

Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J., Freymann, J., Farahani, K., & Davatzikos, C. (2017) · The Cancer Imaging Archive

Brain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging

Cited by 316

Classification Accuracies of Physical Activities Using Smartphone Motion Sensors

Wu, W., Dasgupta, S., Ramirez, E. E., Peterson, C., & Norman, G. J. (2012) · Journal of Medical Internet Research

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 316

A comparison of static, adaptive, and adaptable menus

Findlater, L., & McGrenere, J. (2004) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 316

Bulk quantum computation with nuclear magnetic resonance: theory and experiment

Chuang, I. L., Gershenfeld, N., Kubinec, M. G., & Leung, D. W. (1998) · Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 316

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Yeshwanth, C., Liu, Y.-C., Nießner, M., & Dai, A. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Shape Modeling and Analysis3D Surveying and Cultural Heritage

Cited by 316

Datafication

Mejias, U. A., & Couldry, N. (2019) · Internet Policy Review

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 316

Understanding the Long-Term Use of Smart Speaker Assistants

Bentley, F., Luvogt, C., Silverman, M., Wirasinghe, R., White, B., & Lottridge, D. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Speech and dialogue systemsAI in Service Interactions

Cited by 316

Non-Abelian Berry connections for quantum computation

Pachos, J., Zanardi, P., & Rasetti, M. (1999) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 316

MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships

Chen, Y., Tai, L., Sun, K., & Li, M. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 316

Visual learning analytics of educational data: A systematic literature review and research agenda

Vieira, C., Parsons, P., & Byrd, V. (2018) · Computers & Education

Online Learning and AnalyticsData Visualization and Analytics

Cited by 316

Structured crowdsourcing enables convolutional segmentation of histology images

Amgad, M., Elfandy, H., Hussein, H., Atteya, L. A., Elsebaie, M. A. T., Abo Elnasr, L. S., Sakr, R. A., Salem, H. S. E., Ismail, A. F., Saad, A. M., et al. (2019) · Bioinformatics

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 315

Visualizing big data with augmented and virtual reality: Challenges and research agenda

Olshannikova, E., Ometov, A., Koucheryavy, Y., & Olsson, T. (2015) · Journal of Big Data

Data Visualization and AnalyticsComputer Graphics and Visualization Techniques

Cited by 315

Bilingual Word Representations with Monolingual Quality in Mind

Luong, T., Pham, H., & Manning, C. D. (2015) · Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 315

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

Li, G., Hammoud, H. A. A. K., Itani, H., Khizbullin, D., & Ghanem, B. (2023) · arXiv

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 315

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions

Rauniyar, A., Hagos, D. H., Jha, D., Håkegård, J. E., Bagci, U., Rawat, D. B., & Vlassov, V. (2024) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 315

Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

Qi, G.-J., & Luo, J. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 315

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

Ristea, N.-C., Madan, N., Ionescu, R. T., Nasrollahi, K., Khan, F. S., Moeslund, T. B., & Shah, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 315