Check computer science papers: citations, claims and retractions

A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services

Skorin-Kapov, L., Varela, M., Hoßfeld, T., & Chen, K.-T. (2018) · ACM Transactions on Multimedia Computing, Communications, and Applications

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 116

No Need to Hide: Protecting Safe Regions on Commodity Hardware

Koning, K., Chen, X., Bos, H., Giuffrida, C., & Athanasopoulos, E. (2017) · Proceedings of the Twelfth European Conference on Computer Systems

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 116

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert

Wang, J., Qian, X., Zhang, M., Tan, R. T., & Li, H. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Speech and Audio ProcessingGenerative Adversarial Networks and Image Synthesis

Cited by 116

PassChords: secure multi-touch authentication for blind people

Azenkot, S., Rector, K., Ladner, R., & Wobbrock, J. (2012) · Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility

User Authentication and Security SystemsDigital Accessibility for Disabilities

Cited by 116

Strengthening Research through Data Sharing

Warren, E. (2016) · New England Journal of Medicine

Research Data Management PracticesPharmaceutical industry and healthcare

Cited by 116

The effects of domain knowledge on trust in explainable AI and task performance: A case of peer-to-peer lending

Dikmen, M., & Burns, C. (2022) · International Journal of Human-Computer Studies

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

Cited by 116

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms

Huang, S., Dossa, R. F. J., Ye, C., & Braga, J. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 116

Localization and navigation using QR code for mobile robot in indoor environment

Zhang, H., Zhang, C., Yang, W., & Chen, C.-Y. (2015) · 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)

Robotics and Sensor-Based LocalizationRobotic Path Planning Algorithms

Cited by 116

Scaling Speech Technology to 1, 000+ Languages

Pratap, V., Tjandra, A., Shi, B., Tomasello, P., Babu, A., Kundu, S., Elkahky, A., Ni, Z., Vyas, A., Fazel-Zarandi, M., et al. (2023) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 116

Orbital optimized unitary coupled cluster theory for quantum computer

Mizukami, W., Mitarai, K., Nakagawa, Y. O., Yamamoto, T., Yan, T., & Ohnishi, Y.-Y. (2020) · Physical Review Research

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 116

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models

Wallace, E., Tuyls, J., Wang, J., Subramanian, S., Gardner, M., & Singh, S. (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): System Demonstrations

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 116

Towards end-to-end automation of AI research

Lu, C., Lu, C., Lange, R. T., Yamada, Y., Hu, S., Foerster, J., Ha, D., & Clune, J. (2026) · Nature

Artificial Intelligence ApplicationsScientific Computing and Data Management

Cited by 116

TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids

Fedorov, I., Stamenovic, M., Jensen, C., Yang, L.-C., Mandell, A., Gan, Y., Mattina, M., & Whatmough, P. N. (2020) · Interspeech 2020

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 116

From Pulses to Circuits and Back Again: A Quantum Optimal Control Perspective on Variational Quantum Algorithms

Magann, A. B., Arenz, C., Grace, M. D., Ho, T.-S., Kosut, R. L., McClean, J. R., Rabitz, H. A., & Sarovar, M. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 116

An efficient multi-level convolutional neural network approach for white blood cells classification

Cheuque, C., Querales, M., León, R., Salas, R., & Torres, R. (2022) · Diagnostics

Digital Imaging for Blood DiseasesCell Image Analysis Techniques

Cited by 116

The timing of the cognitive cycle

Madl, T., Baars, B. J., & Franklin, S. (2011) · PLoS ONE

Psychiatry, Mental Health, NeuroscienceNeural dynamics and brain function

Cited by 116

Evolution and impact of bias in human and machine learning algorithm interaction

Sun, W., Nasraoui, O., & Shafto, P. (2020) · PLOS ONE

Ethics and Social Impacts of AIMachine Learning and Algorithms

Cited by 116

A Review of Deep Learning-based Approaches for Deepfake Content Detection

Passos, L. A., Jodas, D., Costa, K. A. P., Júnior, L. A. S., Rodrigues, D., Ser, J. D., Camacho*, D., & Papa, J. (2023) · Expert Systems

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 116

Providing privacy, safety, and security in IoT-based transactive energy systems using distributed ledgers

Laszka, A., Dubey, A., Walker, M., & Schmidt, D. (2017) · Proceedings of the Seventh International Conference on the Internet of Things

Blockchain Technology Applications and SecuritySmart Grid Energy Management

Cited by 116

Unpacking help-seeking process through multimodal learning analytics: a comparative study of ChatGPT vs human expert

Chen, A., Xiang, M., Zhou, J., Jia, J., Shang, J., Li, X., Gašević, D., & Fan, Y. (2025) · Computers & Education

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 115

ExtraSensory App: Data Collection In-the-Wild with Rich User Interface to Self-Report Behavior

Vaizman, Y., Ellis, K., Lanckriet, G., & Weibel, N. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 115

Siam R-CNN: Visual Tracking by Re-Detection

Voigtlaender, P., Luiten, J., Torr, P. H. S., & Leibe, B. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 115

DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era

Dias, S. B., Hadjileontiadou, S. J., Diniz, J., & Hadjileontiadis, L. J. (2020) · Scientific Reports

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 115

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

Wei, Y., Xia, C. S., & Zhang, L. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 115