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ACM Computing Surveys 2024 — papers

The works of ACM Computing Surveys published in 2024 that our library holds (publisher: Association for Computing Machinery): 2 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. Deep Learning for Time Series Anomaly Detection: A SurveyZahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan et al.613 citations
  2. Deep Multimodal Data FusionFei Zhao, Chengcui Zhang, Baocheng Geng446 citations
  3. A Survey of Graph Neural Networks for Social Recommender SystemsKartik Sharma, Yeon-Chang Lee, Sivagami Nambi et al.268 citations
  4. Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyNavid Mohammadi Foumani, Lynn Miller, Chang Wei Tan et al.268 citations
  5. Lightweight Deep Learning for Resource-Constrained Environments: A SurveyHou-I Liu, Marco Galindo, Hongxia Xie et al.259 citations
  6. Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A ReviewSahil Verma, Varich Boonsanong, Minh Hoang et al.255 citations
  7. When Federated Learning Meets Privacy-Preserving ComputationJingxue Chen, Hang Yan, Zhiyuan Liu et al.247 citations
  8. Meta-learning Approaches for Few-Shot Learning: A Survey of Recent AdvancesHassan Gharoun, Fereshteh Momenifar, Fang Chen et al.211 citations
  9. Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open QuestionsPaul Pu Liang, Amir Zadeh, Louis‐Philippe Morency195 citations
  10. Pre-Trained Language Models for Text Generation: A SurveyJunyi Li, Tianyi Tang, Wayne Xin Zhao et al.195 citations

All works of the year (293)

The most cited first; 2 with our summary link to their page here, the others to the original.

  1. Deep Learning for Time Series Anomaly Detection: A SurveyZahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan et al.613 citations
  2. Deep Multimodal Data FusionFei Zhao, Chengcui Zhang, Baocheng Geng446 citations
  3. A Survey of Graph Neural Networks for Social Recommender SystemsKartik Sharma, Yeon-Chang Lee, Sivagami Nambi et al.268 citations
  4. Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyNavid Mohammadi Foumani, Lynn Miller, Chang Wei Tan et al.268 citations
  5. Lightweight Deep Learning for Resource-Constrained Environments: A SurveyHou-I Liu, Marco Galindo, Hongxia Xie et al.259 citations
  6. Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A ReviewSahil Verma, Varich Boonsanong, Minh Hoang et al.255 citations
  7. When Federated Learning Meets Privacy-Preserving ComputationJingxue Chen, Hang Yan, Zhiyuan Liu et al.247 citations
  8. Meta-learning Approaches for Few-Shot Learning: A Survey of Recent AdvancesHassan Gharoun, Fereshteh Momenifar, Fang Chen et al.211 citations
  9. Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open QuestionsPaul Pu Liang, Amir Zadeh, Louis‐Philippe Morency195 citations
  10. Pre-Trained Language Models for Text Generation: A SurveyJunyi Li, Tianyi Tang, Wayne Xin Zhao et al.195 citations
  11. A Survey of AI-Generated Content (AIGC)Yihan Cao, Siyu Li, Yixin Liu et al.182 citations
  12. Tool Learning with Foundation ModelsYujia Qin, Shengding Hu, Yankai Lin et al.177 citations · our summary
  13. Financial Sentiment Analysis: Techniques and ApplicationsKelvin Du, Frank Xing, Rui Mao et al.173 citations
  14. Knowledge Graph Embedding: A Survey from the Perspective of Representation SpacesJiahang Cao, Jinyuan Fang, Zaiqiao Meng et al.171 citations
  15. Multi-Task Learning in Natural Language Processing: An OverviewShijie Chen, Yu Zhang, Qiang Yang143 citations
  16. Security, Privacy, and Decentralized Trust Management in VANETs: A Review of Current Research and Future DirectionsMishri Saleh Al-Marshoud, Mehmet Sabır Kiraz, Ali H. Al-Bayatti143 citations
  17. Deep Learning for Iris Recognition: A SurveyKien Nguyen, Hugo Proença, Fernando Alonso‐Fernandez141 citations
  18. Membership Inference Attacks and Defenses in Federated Learning: A SurveyLi Bai, Haibo Hu, Qingqing Ye et al.139 citations
  19. An Introduction to the Compute Express Link (CXL) InterconnectDebendra Das Sharma, Robert Blankenship, Daniel S. Berger134 citations
  20. A Survey on Federated Unlearning: Challenges, Methods, and Future DirectionsZiyao Liu, Yu Jiang, Jiyuan Shen et al.129 citations
  21. A Survey on Video Diffusion ModelsZhen Xing, Qijun Feng, Haoran Chen et al.128 citations
  22. Topology-aware Federated Learning in Edge Computing: A Comprehensive SurveyJiajun Wu, Fan Dong, Henry Leung et al.124 citations

See all 293 papers in ACM Computing Surveys 2024 — papers →

 Works with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

  1. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 422 citations
  2. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 129 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Language models & pretraining (1)Dialogue systems (1)

 Fields

Computer Science (2)Arts and Humanities (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

works and citations from OpenAlex and our library.

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