Check computer science papers: citations, claims and retractions

Using custom transformation axes for mid-air manipulation of 3D virtual objects

Mendes, D., Sousa, M., Lorena, R., Ferreira, A., & Jorge, J. (2017) · Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology

Interactive and Immersive DisplaysHand Gesture Recognition Systems

Cited by 43

Real-Time Intrusion Detection Based on Decision Fusion in Industrial Control Systems

Xue, Y., Pan, J., Geng, Y., Yang, Z., Liu, M., & Deng, R. (2024) · IEEE Transactions on Industrial Cyber-Physical Systems

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 43

Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry

Dalton, K., Long, C. K., Yordanov, Y. S., Smith, C. G., Barnes, C. H. W., Mertig, N., & Arvidsson-Shukur, D. R. M. (2024) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 43

Conditioned fear modulates visual selection.

Mulckhuyse, M., Crombez, G., & Van der Stigchel, S. (2013) · Emotion

Visual Attention and Saliency DetectionNeural and Behavioral Psychology Studies

Cited by 42

Graph Reasoning for Question Answering with Triplet Retrieval

Li, S., Gao, Y., Jiang, H., Yin, Q., Li, Z., Yan, X., Zhang, C., & Yin, B. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingAdvanced Graph Neural Networks

Cited by 42

The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging

Choi, K., Fazekas, G., Cho, K., & Sandler, M. (2018) · IEEE Transactions on Emerging Topics in Computational Intelligence

Music and Audio ProcessingMachine Learning and Data Classification

Cited by 42

Data Poisoning in Sequential and Parallel Federated Learning

Nuding, F., & Mayer, R. (2022) · Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 42

A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs

Toutanova, K., Brockett, C., Tran, K. M., & Amershi, S. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Advanced Text Analysis TechniquesNatural Language Processing Techniques

Cited by 42

Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Zhu, J., Hamdi, A., Qi, Y., Jin, Y., & Wu, J. (2024) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 42

SceneScape: Text-Driven Consistent Scene Generation

Fridman, R., Abecasis, A., Kasten, Y., & Dekel, T. (2023) · arXiv

Computer Graphics and Visualization TechniquesGenerative Adversarial Networks and Image Synthesis

Cited by 42

Evaluating the Effectiveness of Parsons Problems for Block-based Programming

Zhi, R., Chi, M., Barnes, T., & Price, T. W. (2019) · Proceedings of the 2019 ACM Conference on International Computing Education Research

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 42

ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing

Shen, H., Huang, C.-Y., Wu, T., & Huang, T.-H. K. (2023) · Computer Supported Cooperative Work and Social Computing

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 42

Artificial intelligence, robotics, ethics, and the military: a Canadian perspective

Wasilow, S., & Thorpe, J. B. (2019) · AI Magazine

Ethics and Social Impacts of AIMilitary Strategy and Technology

Cited by 42

In-Between Visuals and Visible: The Impacts of Text-to-Image Generative AI Tools on Digital Image-making Practices in the Global South

Mim, N. J., Nandi, D., Khan, S. S., Dey, A., & Ahmed, S. I. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIArt, Technology, and Culture

Cited by 42

When AI ethics Goes astray: a case study of autonomous vehicles

Etienne, H. (2022) · Social Science Computer Review

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 42

Solutions for counteracting human deception in social engineering attacks

Campbell, C. C. (2019) · Information Technology & People

Information and Cyber SecuritySpam and Phishing Detection

Cited by 42

LLaVA-3D: A Simple Yet Effective Pathway to Empowering LMMs with 3D Capabilities

Zhu, C., Wang, T., Zhang, W., Pang, J., & Liu, X. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 42

Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering

Las-Casas, P., Papakerashvili, G., Anand, V., & Mace, J. (2019) · Proceedings of the ACM Symposium on Cloud Computing

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 42

Analysis of Country-Wide Internet Outages Caused by Censorship

Dainotti, A., Squarcella, C., Aben, E., Claffy, K. C., Chiesa, M., Russo, M., & Pescape, A. (2014) · IEEE/ACM Transactions on Networking

Network Traffic and Congestion ControlInternet Traffic Analysis and Secure E-voting

Cited by 42

Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks

Samala, R. K., Chan, H.-P., Hadjiiski, L., & Koneru, S. (2020) · Medical Imaging 2020: Computer-Aided Diagnosis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 42

A Survey on Multi-Sensor Fusion Perimeter Intrusion Detection in High-Speed Railways

Shi, T., Guo, P., Wang, R., Ma, Z., Zhang, W., Li, W., Fu, H., & Hu, H. (2024) · Sensors

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 42

A thousand brains: toward biologically constrained AI

Hole, K. J., & Ahmad, S. (2021) · SN Applied Sciences

Psychiatry, Mental Health, NeuroscienceCognitive Computing and Networks

Cited by 42

Biases for Emergent Communication in Multi-agent Reinforcement Learning

Eccles, T., Bachrach, Y., Lever, G., Lazaridou, A., & Graepel, T. (2019) · arXiv

Reinforcement Learning in RoboticsLanguage and cultural evolution

Cited by 42

Gender and Participation in Open Source Software Development

Frluckaj, H., Dabbish, L., Widder, D. G., Qiu, H. S., & Herbsleb, J. D. (2022) · Proceedings of the ACM on Human-Computer Interaction

Open Source Software InnovationsGender and Technology in Education

Cited by 42