Check computer science papers: citations, claims and retractions

Lessons from Stuxnet

Chen, T. M., & Abu-Nimeh, S. (2011) · Computer

Advanced Malware Detection TechniquesCybersecurity and Cyber Warfare Studies

Cited by 398

Fog Computing: Focusing on Mobile Users at the Edge

Luan, T. H., Gao, L., Li, Z., Xiang, Y., Wei, G., & Sun, L. (2015) · arXiv

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 398

The dark sides of artificial intelligence: An integrated AI governance framework for public administration

Wirtz, B. W., Weyerer, J. C., & Sturm, B. J. (2020) · International Journal of Public Administration

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 398

To offload or not to offload? The bandwidth and energy costs of mobile cloud computing

Barbera, M. V., Kosta, S., Mei, A., & Stefa, J. (2013) · 2013 Proceedings IEEE INFOCOM

Cloud Computing and Resource ManagementGreen IT and Sustainability

Cited by 398

Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering

Tu, Z. (2005) · Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 397

A natural visible and infrared facial expression database for expression recognition and emotion inference

Wang, S., Liu, Z., Lv, S., Lv, Y., Wu, G., Peng, P., Chen, F., & Wang, X. (2010) · IEEE Transactions on Multimedia

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 397

Augmented reality: Principles and practice

Schmalstieg, D., & Hollerer, T. (2017) · 2017 IEEE Virtual Reality (VR)

Augmented Reality ApplicationsInteractive and Immersive Displays

Cited by 397

Multisensor Data Fusion

Hall, D. L., & Llinas, J. (2001) · CRC Press eBooks

Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

Cited by 397

AI-synthesized faces are indistinguishable from real faces and more trustworthy

Nightingale, S. J., & Farid, H. (2022) · Proceedings of the National Academy of Sciences

Digital Media Forensic DetectionFace recognition and analysis

Cited by 397

Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays

Consolvo, S., Klasnja, P., McDonald, D. W., Avrahami, D., Froehlich, J., LeGrand, L., Libby, R., Mosher, K., & Landay, J. A. (2008) · Proceedings of the 10th international conference on Ubiquitous computing

Innovative Human-Technology InteractionContext-Aware Activity Recognition Systems

Cited by 397

Dysarthric speech database for universal access research

Kim, H., Hasegawa-Johnson, M., Perlman, A., Gunderson, J., Huang, T. S., Watkin, K., & Frame, S. (2008) · Interspeech 2008

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 397

Programming with abstract data types

Liskov, B., & Zilles, S. (1974) · ACM SIGPLAN Notices

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 397

For Distinguished Early Career Contribution to Psychophysiology: Award Address, 1988: Facial Electromyography and Emotional Reactions

Dimberg, U. (1990) · Psychophysiology

Emotion and Mood RecognitionFace Recognition and Perception

Cited by 397

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

Li, Z., Jin, X., Li, W., Guan, S., Guo, J., Shen, H., Wang, Y., & Cheng, X. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Advanced Graph Neural NetworksTopic Modeling

Cited by 397

Communication-efficient federated learning

Chen, M., Shlezinger, N., Poor, H. V., Eldar, Y. C., & Cui, S. (2021) · Proceedings of the National Academy of Sciences

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 397

Thyroid nodule classification in ultrasound images by fine-tuning deep convolutional neural network

Chi, J., Walia, E., Babyn, P., Wang, J., Groot, G., & Eramian, M. (2017) · Journal of Digital Imaging

AI in cancer detectionThyroid Cancer Diagnosis and Treatment

Cited by 396

Learning a Metric for Code Readability

Buse, R. P. L., & Weimer, W. R. (2010) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 396

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Andriushchenko, M., Croce, F., & Flammarion, N. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 396

An efficient MSB prediction-based method for high-capacity reversible data hiding in encrypted images

Puteaux, P., & Puech, W. (2018) · IEEE Transactions on Information Forensics and Security

Advanced Steganography and Watermarking TechniquesChaos-based Image/Signal Encryption

Cited by 396

Measuring personalization of web search

Hannak, A., Sapiezynski, P., Molavi Kakhki, A., Krishnamurthy, B., Lazer, D., Mislove, A., & Wilson, C. (2013) · Proceedings of the 22nd international conference on World Wide Web

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 396

Adiabatic Quantum Computation Is Equivalent to Standard Quantum Computation

Aharonov, D., van Dam, W., Kempe, J., Landau, Z., Lloyd, S., & Regev, O. (2008) · SIAM Review

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 395

Large language models (LLMs): survey, technical frameworks, and future challenges

Kumar, P. (2024) · Artificial Intelligence Review

Topic ModelingNatural Language Processing Techniques

Cited by 395

OpenScene: 3D Scene Understanding with Open Vocabularies

Peng, S., Genova, K., Jiang, C., Tagliasacchi, A., Pollefeys, M., & Funkhouser, T. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 395

Filtered channel features for pedestrian detection

Zhang, S., Benenson, R., & Schiele, B. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 395