Check computer science papers: citations, claims and retractions

A retrospective analysis of maritime cyber security incidents

Meland, P. H., Bernsmed, K., Wille, E., Rødseth, Ø. J., & Nesheim, D. A. (2021) · TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 112

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency

Stojkovic, J., Zhang, C., Goiri, Í., Torrellas, J., & Choukse, E. (2025) · 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA)

Energy Efficiency in ComputingCloud Computing and Resource Management

Cited by 112

Accelerating Federated Learning for IoT in Big Data Analytics With Pruning, Quantization and Selective Updating

Xu, W., Fang, W., Ding, Y., Zou, M., & Xiong, N. (2021) · IEEE Access

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 112

Implicit data crimes: Machine learning bias arising from misuse of public data

Shimron, E., Tamir, J. I., Wang, K., & Lustig, M. (2022) · Proceedings of the National Academy of Sciences

Ethics and Social Impacts of AIAdvanced MRI Techniques and Applications

Cited by 112

Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Nguyen, T., Raghu, M., & Kornblith, S. (2020) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 112

U-BERT: Pre-training User Representations for Improved Recommendation

Qiu, Z., Wu, X., Gao, J., & Fan, W. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 112

A Randomised Controlled Feasibility Trial of Immersive Virtual Reality Treatment with Cognitive Behaviour Therapy for Specific Phobias in Young People with Autism Spectrum Disorder

Maskey, M., Rodgers, J., Grahame, V., Glod, M., Honey, E., Kinnear, J., Labus, M., Milne, J., Minos, D., McConachie, H., et al. (2019) · Journal of Autism and Developmental Disorders

Virtual Reality Applications and ImpactsAutism Spectrum Disorder Research

Cited by 112

Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population

Ward, A., Sarraju, A., Chung, S., Li, J., Harrington, R., Heidenreich, P., Palaniappan, L., Scheinker, D., & Rodriguez, F. (2020) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 112

SecDevOps: Is It a Marketing Buzzword? - Mapping Research on Security in DevOps

Mohan, V., & Othmane, L. B. (2016) · 2016 11th International Conference on Availability, Reliability and Security (ARES)

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 112

Shape2Pose: human-centric shape analysis

Kim, V. G., Chaudhuri, S., Guibas, L., & Funkhouser, T. (2014) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisImage Processing and 3D Reconstruction

Cited by 112

Classification of Contrasting Discrete Emotional States Indicated by EEG Based Graph Theoretical Network Measures

Kılıç, B., & Aydın, S. (2022) · Neuroinformatics

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 112

Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus

Wei, W.-Q., Leibson, C. L., Ransom, J. E., Kho, A. N., Caraballo, P. J., Chai, H. S., Yawn, B. P., Pacheco, J. A., & Chute, C. G. (2012) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 112

CrySL: An Extensible Approach to Validating the Correct Usage of Cryptographic APIs

Kruger, S., Spath, J., Ali, K., Bodden, E., & Mezini, M. (2021) · IEEE Transactions on Software Engineering

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 112

Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)

Ahmed, T., Pai, K. S., Devanbu, P., & Barr, E. T. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 112

RTSeg: Real-Time Semantic Segmentation Comparative Study

Siam, M., Gamal, M., Abdel-Razek, M., Yogamani, S., & Jagersand, M. (2018) · 2018 25th IEEE International Conference on Image Processing (ICIP)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 112

Scaling vision transformers to 22 billion parameters

Dehghani, M., Djolonga, J., Mustafa, B., Padlewski, P., Heek, J., Gilmer, J., Steiner, A., Caron, M., Geirhos, R., Alabdulmohsin, I., et al. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 112

Are Personas Done? Evaluating Their Usefulness in the Age of Digital Analytics

Salminen, J., Jansen, B. J., An, J., Kwak, H., & Jung, S.-G. (2018) · Persona Studies

Persona Design and ApplicationsDigital Marketing and Social Media

Cited by 112

SpanNER: Named Entity Re-/Recognition as Span Prediction

Fu, J., Huang, X., & Liu, P. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 112

Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies

Sandbank, J., Bataillon, G., Nudelman, A., Krasnitsky, I., Mikulinsky, R., Bien, L., Thibault, L., Albrecht Shach, A., Sebag, G., Clark, D. P., et al. (2022) · npj Breast Cancer

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 112

BGGM: Bayesian Gaussian Graphical Models in R

Williams, D., & Mulder, J. (2020) · Journal of Open Source Software

Bayesian Modeling and Causal InferenceStatistical Methods and Inference

Cited by 112

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices

Yu, G., Chang, Q., Lv, W., Xu, C., Cui, C., Ji, W., Dang, Q., Deng, K., Wang, G., Du, Y., et al. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 112

A new image encryption technique combining Elliptic Curve Cryptosystem with Hill Cipher

Dawahdeh, Z. E., Yaakob, S. N., & Razif bin Othman, R. (2018) · Journal of King Saud University - Computer and Information Sciences

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 112

Fully automated, real-time 3D ultrasound segmentation to estimate first trimester placental volume using deep learning

Looney, P., Stevenson, G. N., Nicolaides, K. H., Plasencia, W., Molloholli, M., Natsis, S., & Collins, S. L. (2018) · JCI Insight

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 112

Network planning with deep reinforcement learning

Zhu, H., Gupta, V., Ahuja, S. S., Tian, Y., Zhang, Y., & Jin, X. (2021) · Proceedings of the 2021 ACM SIGCOMM 2021 Conference

Software-Defined Networks and 5GCloud Computing and Resource Management

Cited by 112