Check computer science papers: citations, claims and retractions

Fast quantum modular exponentiation architecture for Shor's factoring alogrithm

Pavlidis, A., & Gizopoulos, D. (2014) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 38

API Designers in the Field: Design Practices and Challenges for Creating Usable APIs

Murphy, L., Kery, M. B., Alliyu, O., Macvean, A., & Myers, B. A. (2018) · 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Usability and User Interface DesignSoftware Engineering Research

Cited by 38

Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

Liu, S., Hussain, A. S., Sun, C., & Shan, Y. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 38

Beyond Text-to-Image: Multimodal Prompts to Explore Generative AI

Liu, V. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Digital Media and Visual ArtGenerative Adversarial Networks and Image Synthesis

Cited by 38

Optimization of openstreetmap building footprints based on semantic information of oblique UAV images

Zhuo, X., Fraundorfer, F., Kurz, F., & Reinartz, P. (2018) · Remote Sensing

Automated Road and Building Extraction3D Modeling in Geospatial Applications

Cited by 38

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

Shen, X., Dong, P., Lu, L., Kong, Z., Li, Z., Lin, M., Wu, C., & Wang, Y. (2023) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 38

A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition

Zhou, B., Wang, P., Wan, J., Liang, Y., & Wang, F. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 38

T-GD: Transferable GAN-generated Images Detection Framework

Jeon, H., Bang, Y., Kim, J., & Woo, S. S. (2020) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 38

Which log variables significantly predict academic achievement? A systematic review and meta-analysis

Wang, Q., & Mousavi, A. (2023) · British Journal of Educational Technology

Online Learning and AnalyticsOnline and Blended Learning

Cited by 38

Leakage suppression in the toric code

Suchara, M., Cross, A. W., & Gambetta, J. M. (2015) · 2015 IEEE International Symposium on Information Theory (ISIT)

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 38

RETRACTED: Liver Tumor Localization Based on YOLOv3 and 3D-Semantic Segmentation Using Deep Neural Networks

Amin, J., Anjum, M., Sharif, M., Kadry, S., Nadeem, A., & Ahmad, S. (2022) · Diagnostics

Medical Image Segmentation TechniquesAI in cancer detection

Cited by 38

Synthesizing scientific literature with retrieval-augmented language models

Asai, A., He, J., Shao, R., Shi, W., Singh, A., Chang, J. C., Lo, K., Soldaini, L., Feldman, S., D’Arcy, M., et al. (2026) · Nature

Topic ModelingInformation Retrieval and Search Behavior

Cited by 38

AppWatcher: unveiling the underground market of trading mobile app reviews

Xie, Z., & Zhu, S. (2015) · Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks

Spam and Phishing DetectionCybercrime and Law Enforcement Studies

Cited by 38

The Windfall Clause: Distributing the Benefits of AI for the Common Good

O'Keefe, C., Cihon, P., Garfinkel, B., Flynn, C., Leung, J., & Dafoe, A. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 38

Foraging and navigations, fundamentally: developers' predictions of value and cost

Piorkowski, D., Henley, A. Z., Nabi, T., Fleming, S. D., Scaffidi, C., & Burnett, M. (2016) · Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 38

Data visualisation literacy in higher education: An exploratory study of understanding of a learning dashboard tool

Donohoe, D., & Costello, E. (2020) · International Journal of Emerging Technologies in Learning (iJET)

Data Visualization and AnalyticsLibrary Science and Information Literacy

Cited by 38

Regional Tree Regularization for Interpretability in Deep Neural Networks

Wu, M., Parbhoo, S., Hughes, M., Kindle, R., Celi, L., Zazzi, M., Roth, V., & Doshi-Velez, F. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 38

XIRL: Cross-embodiment inverse reinforcement learning

Zakka, K., Zeng, A., Florence, P., Tompson, J., Bohg, J., & Dwibedi, D. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 38

Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor

Kazienko, P., Bielaniewicz, J., Gruza, M., Kanclerz, K., Karanowski, K., Miłkowski, P., & Kocoń, J. (2023) · Information Fusion

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 38

The Right to Talk: An Audio-Visual Transformer Approach

Truong, T.-D., Duong, C. N., De Vu, T., Pham, H. A., Raj, B., Le, N., & Luu, K. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 38

Agentic AI: The building blocks of sophisticated AI business applications

Chawla, C., Chatterjee, S., Gadadinni, S. S., Verma, P., & Banerjee, S. (2024) · Journal of AI, Robotics & Workplace Automation

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 38

Towards Visual Dialog for Radiology

Kovaleva, O., Shivade, C., Kashyap, S., Kanjaria, K., Wu, J., Ballah, D., Coy, A., Karargyris, A., Guo, Y., Beymer, D. B., et al. (2020) · Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 38

Beyond Detection: Large Language Models and Next-Generation Cybersecurity

Ali, A., & Ghanem, M. C. (2025) · SHIFRA

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 38

Deep Insights of Deepfake Technology : A Review

Mahmud, B. U., & Sharmin, A. (2021) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 38