Check computer science papers: citations, claims and retractions

A Microservice-enabled Architecture for Smart Surveillance using Blockchain Technology

Nagothu, D., Xu, R., Nikouei, S. Y., & Chen, Y. (2018) · 2018 IEEE International Smart Cities Conference (ISC2)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 108

Algorithmic IF … THEN rules and the conditions and consequences of power

Neyland, D., & Möllers, N. (2017) · Information, Communication & Society

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 108

Action robust reinforcement learning and applications in continuous control

Tessler, C., Efroni, Y., & Mannor, S. (2019) · arXiv

Reinforcement Learning in RoboticsAdversarial Robustness in Machine Learning

Cited by 108

Variational Quantum Classifier for Binary Classification: Real vs Synthetic Dataset

Maheshwari, D., Sierra-Sosa, D., & Garcia-Zapirain, B. (2022) · IEEE Access

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 108

Matching and Reaching Depth Judgments with Real and Augmented Reality Targets

Swan, J. E., Singh, G., & Ellis, S. R. (2015) · IEEE Transactions on Visualization and Computer Graphics

Augmented Reality ApplicationsVisual perception and processing mechanisms

Cited by 108

Efficient quantum walk on a quantum processor

Qiang, X., Loke, T., Montanaro, A., Aungskunsiri, K., Zhou, X., O’Brien, J. L., Wang, J. B., & Matthews, J. C. F. (2016) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 108

DeepInteraction: 3D Object Detection via Modality Interaction

Yang, Z., Chen, J., Miao, Z., Li, W., Zhu, X., & Zhang, L. (2022) · arXiv

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 108

Demonstrating multi-round subsystem quantum error correction using matching and maximum likelihood decoders

Sundaresan, N., Yoder, T. J., Kim, Y., Li, M., Chen, E. H., Harper, G., Thorbeck, T., Cross, A. W., Córcoles, A. D., & Takita, M. (2023) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 108

TopicGPT: A Prompt-based Topic Modeling Framework

Pham, C., Hoyle, A., Sun, S., Resnik, P., & Iyyer, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingComputational and Text Analysis Methods

Cited by 108

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Liang, Y., Wu, C., Song, T., Wu, W., Xia, Y., Liu, Y., Ou, Y., Lu, S., Ji, L., Mao, S., et al. (2024) · Intelligent Computing

Artificial Intelligence ApplicationsTopic Modeling

Cited by 108

How Reliable Are Systematic Reviews in Empirical Software Engineering?

MacDonell, S., Shepperd, M., Kitchenham, B., & Mendes, E. (2010) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesMeta-analysis and systematic reviews

Cited by 108

NumNet: Machine Reading Comprehension with Numerical Reasoning

Ran, Q., Lin, Y., Li, P., Zhou, J., & Liu, Z. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingMultimodal Machine Learning Applications

Cited by 108

Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach

Baracaldo, N., Chen, B., Ludwig, H., & Safavi, J. A. (2017) · Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 108

Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness

chander, B., John, C., Warrier, L., & Gopalakrishnan, K. (2025) · ACM Computing Surveys

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 108

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Fu, S., Tamir, N., Sundaram, S., Chai, L., Zhang, R., Dekel, T., & Isola, P. (2023) · arXiv

Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis

Cited by 108

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

de Witt, C. S., Krawiecka, K., Krawczuk, I., Hagag, B., Anderson, W. L., Belcak, P., Bucknall, B., Cai, X., Chopra, A., Cohen, D., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningAccess Control and Trust

Cited by 108

NodeSLAM: Neural object descriptors for multi-view shape reconstruction

Sucar, E., Wada, K., & Davison, A. (2020) · 2020 International Conference on 3D Vision (3DV)

3D Shape Modeling and AnalysisRobotics and Sensor-Based Localization

Cited by 108

A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom

Lee, J. K., Lee, J.-M., Kim, J. S., Kim, I. Y., Evans, A. C., & Kim, S. I. (2006) · NeuroImage

Medical Image Segmentation Techniques3D Shape Modeling and Analysis

Cited by 108

How good are clinical MEDLINE searches? A comparative study of clinical end-user and librarian searches

McKibbon, K. A., Haynes, R. B., Walker Dilks, C. J., Ramsden, M. F., Ryan, N. C., Baker, L., Flemming, T., & Fitzgerald, D. (1990) · Computers and Biomedical Research

Information Retrieval and Search BehaviorHealth Sciences Research and Education

Cited by 108

Advanced Encryption Standard (AES)

National Institute of Standards and Technology (US) (2023)

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 108

The Leaderboard Illusion

Singh, S., Nan, Y., Wang, A., D'Souza, D., Kapoor, S., Üstün, A., Koyejo, S., Deng, Y., Longpre, S., Smith, N. A., et al. (2025) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 108

Finger Tapping Clinimetric Score Prediction in Parkinson's Disease Using Low-Cost Accelerometers

Stamatakis, J., Ambroise, J., Crémers, J., Sharei, H., Delvaux, V., Macq, B., & Garraux, G. (2013) · Computational Intelligence and Neuroscience

Context-Aware Activity Recognition SystemsParkinson's Disease Mechanisms and Treatments

Cited by 108

Predicting User Satisfaction with Intelligent Assistants

Kiseleva, J., Williams, K., Hassan Awadallah, A., Crook, A. C., Zitouni, I., & Anastasakos, T. (2016) · Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorUsability and User Interface Design

Cited by 108

Individual Differences in the Rubber Hand Illusion Are Related to Sensory Suggestibility

Marotta, A., Tinazzi, M., Cavedini, C., Zampini, M., & Fiorio, M. (2016) · PLOS ONE

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 108