Check computer science papers: citations, claims and retractions

Over-the-Air Computation for IoT Networks: Computing Multiple Functions With Antenna Arrays

Chen, L., Zhao, N., Chen, Y., Yu, F. R., & Wei, G. (2018) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingDistributed Sensor Networks and Detection Algorithms

Cited by 136

Approximation by Quantum Circuits

Knill, E. (1995) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 136

Generative AI in Computing Education: Perspectives of Students and Instructors

Zastudil, C., Rogalska, M., Kapp, C., Vaughn, J., & MacNeil, S. (2023) · 2023 IEEE Frontiers in Education Conference (FIE)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 136

Positive mood induction procedures for virtual environments designed for elderly people

Baños, R. M., Etchemendy, E., Castilla, D., García-Palacios, A., Quero, S., & Botella, C. (2012) · Interacting with Computers

Virtual Reality Applications and ImpactsTechnology Use by Older Adults

Cited by 136

Scalable Deep Multimodal Learning for Cross-Modal Retrieval

Hu, P., Zhen, L., Peng, D., & Liu, P. (2019) · Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval

Advanced Image and Video Retrieval TechniquesMultimodal Machine Learning Applications

Cited by 136

"Do you trust me?": Increasing User-Trust by Integrating Virtual Agents in Explainable AI Interaction Design

Weitz, K., Schiller, D., Schlagowski, R., Huber, T., & André, E. (2019) · Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 136

A Design Space for Intelligent and Interactive Writing Assistants

Lee, M., Gero, K. I., Chung, J. J. Y., Shum, S. B., Raheja, V., Shen, H., Venugopalan, S., Wambsganss, T., Zhou, D., Alghamdi, E. A., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 136

Good News, Everyone! Context Driven Entity-Aware Captioning for News Images

Biten, A. F., Gomez, L., Rusiñol, M., & Karatzas, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 136

Learn to combine modalities in multimodal deep learning

Liu, K., Li, Y., Xu, N., & Natarajan, P. (2018) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 136

The LambdaLoss Framework for Ranking Metric Optimization

Wang, X., Li, C., Golbandi, N., Bendersky, M., & Najork, M. (2018) · Proceedings of the 27th ACM International Conference on Information and Knowledge Management

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 136

A meta-analytic examination of attrition in virtual reality exposure therapy for anxiety disorders

Benbow, A. A., & Anderson, P. L. (2019) · Journal of Anxiety Disorders

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 136

Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration

Singh, A., Nadkarni, G., Gottesman, O., Ellis, S. B., Bottinger, E. P., & Guttag, J. V. (2015) · Journal of Biomedical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 136

A survey on trust evaluation based on machine learning

Wang, J., Jing, X., Yan, Z., Fu, Y., Pedrycz, W., & Yang, L. T. (2021) · ACM Computing Surveys

Access Control and TrustUser Authentication and Security Systems

Cited by 136

ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications

Abdel-Basset, M., Hawash, H., Chakrabortty, R. K., Ryan, M., Elhoseny, M., & Song, H. (2021) · IEEE Internet of Things Journal

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 136

Algorithmic Decision-Making in AVs: Understanding Ethical and Technical Concerns for Smart Cities

Lim, H. S. M., & Taeihagh, A. (2019) · Sustainability

Ethics and Social Impacts of AIAutonomous Vehicle Technology and Safety

Cited by 136

Learning to recommend with multiple cascading behaviors

Gao, C., He, X., Gan, D., Chen, X., Feng, F., Li, Y., Chua, T.-S., Yao, L., Song, Y., & Jin, D. (2021) · IEEE Transactions on Knowledge and Data Engineering

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 136

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-Tuning

Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. (2025) · IEEE Transactions on Audio, Speech and Language Processing

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 136

64-qubit quantum circuit simulation

Chen, Z.-Y., Zhou, Q., Xue, C., Yang, X., Guo, G.-C., & Guo, G.-P. (2018) · Science Bulletin

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 136

Logged out: Ownership, exclusion and public value in the digital data and information commons

Prainsack, B. (2019) · Big Data & Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 136

A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses

Reinertsen, E., & Clifford, G. D. (2018) · Physiological Measurement

Context-Aware Activity Recognition SystemsEmotion and Mood Recognition

Cited by 136

Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations

Morales, F. J. O., & Roggen, D. (2016) · Proceedings of the 2016 ACM International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 136

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

Deldari, S., Smith, D. V., Xue, H., & Salim, F. D. (2021) · Proceedings of the Web Conference 2021

Time Series Analysis and ForecastingAnomaly Detection Techniques and Applications

Cited by 136

CORE: Consistent Representation Learning for Face Forgery Detection

Ni, Y., Meng, D., Yu, C., Quan, C., Ren, D., & Zhao, Y. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 136

Big Data, Big Waste? A Reflection on the Environmental Sustainability of Big Data Initiatives

Lucivero, F. (2020) · Science and Engineering Ethics

Ethics and Social Impacts of AIGreen IT and Sustainability

Cited by 136