Check computer science papers: citations, claims and retractions

“Reach the right people”: The politics of “interests” in Facebook’s classification system for ad targeting

Cotter, K., Medeiros, M., Pak, C., & Thorson, K. (2021) · Big Data & Society

Ethics and Social Impacts of AISocial Media and Politics

Cited by 63

PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis

Yang, H., Zhang, C., & Li, K. (2023) · Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 63

Network meets ChatGPT: intent autonomous management, control and operation

Wang, J., Zhang, L., Yang, Y., Zhuang, Z., Qi, Q., Sun, H., Lu, L., Feng, J., & Liao, J. (2023) · Journal of Communications and Information Networks

Software-Defined Networks and 5GAdvanced Data and IoT Technologies

Cited by 63

Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation

Khanna, M., Mao, Y., Jiang, H., Haresh, S., Shacklett, B., Batra, D., Clegg, A., Undersander, E., Chang, A. X., & Savva, M. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 63

A Pairwise Attentive Adversarial Spatiotemporal Network for Cross-Domain Few-Shot Action Recognition-R2

Gao, Z., Guo, L., Guan, W., Liu, A.-A., Ren, T., & Chen, S. (2021) · IEEE Transactions on Image Processing

Domain Adaptation and Few-Shot LearningHuman Pose and Action Recognition

Cited by 63

iHear Food: Eating Detection Using Commodity Bluetooth Headsets

Gao, Y., Zhang, N., Wang, H., Ding, X., Ye, X., Chen, G., & Cao, Y. (2016) · 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 63

Design Guideline for Developing Safe Systems that Apply Electricity to the Human Body

Kono, M., Takahashi, T., Nakamura, H., Miyaki, T., & Rekimoto, J. (2018) · ACM Transactions on Computer-Human Interaction

Innovative Human-Technology InteractionInteractive and Immersive Displays

Cited by 63

Automatic Estimation of Fetal Abdominal Circumference From Ultrasound Images

Jang, J., Park, Y., Kim, B., Lee, S. M., Kwon, J.-Y., & Seo, J. K. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 63

Therapy in virtual environments--clinical and ethical issues

Yellowlees, P. M., Holloway, K. M., & Parish, M. B. (2012) · Telemedicine and e-Health

Virtual Reality Applications and ImpactsTelemedicine and Telehealth Implementation

Cited by 63

ADTR: Anomaly Detection Transformer with Feature Reconstruction

You, Z., Yang, K., Luo, W., Cui, L., Zheng, Y., & Le, X. (2022) · arXiv

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 63

AI-Empowered Trajectory Anomaly Detection for Intelligent Transportation Systems: A Hierarchical Federated Learning Approach

Wang, X., Liu, W., Lin, H., Hu, J., Kaur, K., & Hossain, M. S. (2023) · IEEE Transactions on Intelligent Transportation Systems

Anomaly Detection Techniques and ApplicationsData Management and Algorithms

Cited by 63

On the complexity of explicit duration HMM's

Mitchell, C., Harper, M., & Jamieson, L. (1995) · IEEE Transactions on Speech and Audio Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 63

AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite

Bragg, J., D'Arcy, M., Balepur, N., Bareket, D., Dalvi, B., Feldman, S., Haddad, D., Hwang, J. D., Jansen, P., Kishore, V., et al. (2025) · arXiv

Artificial Intelligence ApplicationsScientific Computing and Data Management

Cited by 63

The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape

Zhao, J., Bagchi, S., Avestimehr, S., Chan, K., Chaterji, S., Dimitriadis, D., Li, J., Li, N., Nourian, A., & Roth, H. (2025) · ACM Computing Surveys

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 63

Real-Time Reservoir Computing Network-Based Systems for Detection Tasks on Visual Contents

Jalalvand, A., Van Wallendael, G., & Van De Walle, R. (2015) · 2015 7th International Conference on Computational Intelligence, Communication Systems and Networks

Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing

Cited by 63

Completeness of the Classical 2D Ising Model and Universal Quantum Computation

Van den Nest, M., Dür, W., & Briegel, H. J. (2008) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 63

More-Than-Human Design and AI: In Conversation with Agents

Nicenboim, I., Giaccardi, E., Søndergaard, M. L. J., Reddy, A. V., Strengers, Y., Pierce, J., & Redström, J. (2020) · Companion Publication of the 2020 ACM Designing Interactive Systems Conference

Innovative Human-Technology InteractionPosthumanist Ethics and Activism

Cited by 63

A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use

McLaughlin, R. A., Hipwell, J., Hawkes, D. J., Noble, J. A., Byrne, J. V., & Cox, T. C. (2005) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 63

Omnidirectional 3D reconstruction in augmented Manhattan worlds

Schonbein, M., & Geiger, A. (2014) · 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 63

Deep Neural Architectures for Contrast Enhanced Ultrasound (CEUS) Focal Liver Lesions Automated Diagnosis

Căleanu, C. D., Sîrbu, C. L., & Simion, G. (2021) · Sensors

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 63

Interactive evolution and exploration within latent level-design space of generative adversarial networks

Schrum, J., Gutierrez, J., Volz, V., Liu, J., Lucas, S., & Risi, S. (2020) · Proceedings of the 2020 Genetic and Evolutionary Computation Conference

Artificial Intelligence in GamesEvolutionary Algorithms and Applications

Cited by 63

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Shen, T., Mao, Y., He, P., Long, G., Trischler, A., & Chen, W. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingAdvanced Graph Neural Networks

Cited by 63

CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles

Wang, Y., Liu, S., Wu, X., & Shi, W. (2018) · 2018 IEEE/ACM Symposium on Edge Computing (SEC)

Parallel Computing and Optimization TechniquesIoT and Edge/Fog Computing

Cited by 63

Enabling machine learning in X-ray-based procedures via realistic simulation of image formation

Unberath, M., Zaech, J.-N., Gao, C., Bier, B., Goldmann, F., Lee, S. C., Fotouhi, J., Taylor, R., Armand, M., & Navab, N. (2019) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 63