---
title: "Frontiers of Computer Science 2024 — papers — Elamur Research"
description: "Frontiers of Computer Science 2024 — papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/frontiers-of-computer-science/2024/"
---
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# Frontiers of Computer Science 2024 — papers

The works of Frontiers of Computer Science published in 2024 that our library holds (publisher: Higher Education Press): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**146** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/2024/#works) · [**195** citations of these works](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/2024/#works)

## Most cited papers

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

1. **[A survey on large language model based autonomous agents](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-large-language-model-based/)**Lei Wang, Chen Ma, Xueyang Feng et al.*1,820 citations · our summary*
2. **[Large language models for generative information extraction: a survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/)**Derong Xu, Wei Chen, Wenjun Peng et al.*310 citations · our summary*
3. **[A survey of dynamic graph neural networks ↗](https://doi.org/10.1007/s11704-024-3853-2)**Yanping Zheng, Lu Yi, Zhewei Wei*142 citations*
4. **[A survey on LoRA of large language models ↗](https://doi.org/10.1007/s11704-024-40663-9)**Yuren Mao, Yuhang Ge, Yijiang Fan et al.*127 citations*
5. **[A review on multi-view learning ↗](https://doi.org/10.1007/s11704-024-40004-w)**Zhiwen Yu, Ziyang Dong, Chenchen Yu et al.*98 citations*
6. **[A comprehensive survey of federated transfer learning: challenges, methods and applications ↗](https://doi.org/10.1007/s11704-024-40065-x)**Wei Guo, Fuzhen Zhuang, Xiao Zhang et al.*75 citations*
7. **[Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning ↗](https://doi.org/10.1007/s11704-023-2490-5)**Yizheng Wang, Xin Zhang, Ying Ju et al.*65 citations*
8. **[Computational approaches for predicting drug-disease associations: a comprehensive review ↗](https://doi.org/10.1007/s11704-024-40072-y)**Zhaoyang Huang, Zhichao Xiao, Chunyan Ao et al.*54 citations*
9. **[Protein acetylation sites with complex-valued polynomial model ↗](https://doi.org/10.1007/s11704-023-2640-9)**Wenzheng Bao, Bin Yang*44 citations*
10. **[Application of machine learning in drug side effect prediction: databases, methods, and challenges ↗](https://doi.org/10.1007/s11704-024-31063-0)**Haochen Zhao, Jian Zhong, Xiao Liang et al.*40 citations*

## All works of the year (146)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[A survey on large language model based autonomous agents](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-large-language-model-based/)**Lei Wang, Chen Ma, Xueyang Feng et al.*1,820 citations · our summary*
2. **[Large language models for generative information extraction: a survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/)**Derong Xu, Wei Chen, Wenjun Peng et al.*310 citations · our summary*
3. **[A survey of dynamic graph neural networks ↗](https://doi.org/10.1007/s11704-024-3853-2)**Yanping Zheng, Lu Yi, Zhewei Wei*142 citations*
4. **[A survey on LoRA of large language models ↗](https://doi.org/10.1007/s11704-024-40663-9)**Yuren Mao, Yuhang Ge, Yijiang Fan et al.*127 citations*
5. **[A review on multi-view learning ↗](https://doi.org/10.1007/s11704-024-40004-w)**Zhiwen Yu, Ziyang Dong, Chenchen Yu et al.*98 citations*
6. **[A comprehensive survey of federated transfer learning: challenges, methods and applications ↗](https://doi.org/10.1007/s11704-024-40065-x)**Wei Guo, Fuzhen Zhuang, Xiao Zhang et al.*75 citations*
7. **[Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning ↗](https://doi.org/10.1007/s11704-023-2490-5)**Yizheng Wang, Xin Zhang, Ying Ju et al.*65 citations*
8. **[Computational approaches for predicting drug-disease associations: a comprehensive review ↗](https://doi.org/10.1007/s11704-024-40072-y)**Zhaoyang Huang, Zhichao Xiao, Chunyan Ao et al.*54 citations*
9. **[Protein acetylation sites with complex-valued polynomial model ↗](https://doi.org/10.1007/s11704-023-2640-9)**Wenzheng Bao, Bin Yang*44 citations*
10. **[Application of machine learning in drug side effect prediction: databases, methods, and challenges ↗](https://doi.org/10.1007/s11704-024-31063-0)**Haochen Zhao, Jian Zhong, Xiao Liang et al.*40 citations*
11. **[A survey on deep learning-based algorithms for the traveling salesman problem ↗](https://doi.org/10.1007/s11704-024-40490-y)**Jingyan Sui, Shizhe Ding, Xulin Huang et al.*35 citations*
12. **[Visibility restoration for real-world hazy images via improved physical model and Gaussian total variation ↗](https://doi.org/10.1007/s11704-023-3394-0)**Chuan Li, Enping Hu, Xinyu Zhang et al.*35 citations*
13. **[Degradation-adaptive neural network for jointly single image dehazing and desnowing ↗](https://doi.org/10.1007/s11704-023-2764-y)**Erkang Chen, Sixiang Chen, Ye Tian et al.*27 citations*
14. **[RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model ↗](https://doi.org/10.1007/s11704-024-31018-5)**Jiangtong Li, Yang Lei, Yuxuan Bian et al.*26 citations*
15. **[A comprehensive survey on graph neural network accelerators ↗](https://doi.org/10.1007/s11704-023-3307-2)**Jingyu Liu, Shi Chen, Li Shen*21 citations*
16. **[Predicting miRNA-drug interactions via dual-channel network based on TCN and BiLSTM ↗](https://doi.org/10.1007/s11704-024-3862-1)**Xiaoxuan Zhang, Xiujuan Lei*18 citations*
17. **[ACbot: an IIoT platform for industrial robots ↗](https://doi.org/10.1007/s11704-024-3449-x)**Rui Wang, Xudong Mou, Tianyu Wo et al.*17 citations*
18. **[Computational approaches for circRNA-disease association prediction: a review ↗](https://doi.org/10.1007/s11704-024-40060-2)**Mengting Niu, Yaojia Chen, Chunyu Wang et al.*17 citations*
19. **[A probabilistic generative model for tracking multi-knowledge concept mastery probability ↗](https://doi.org/10.1007/s11704-023-3008-x)**Hengyu Liu, Tiancheng Zhang, Fan Li et al.*16 citations*
20. **[Decoupled deep hough voting for point cloud registration ↗](https://doi.org/10.1007/s11704-023-2471-8)**Mingzhi Yuan, Kexue Fu, Zhihao Li et al.*15 citations*
21. **[Towards efficient and effective unlearning of large language models for recommendation ↗](https://doi.org/10.1007/s11704-024-40044-2)**Hangyu Wang, Jianghao Lin, Bo Chen et al.*14 citations*
22. **[Behaviour-diverse automatic penetration testing: a coverage-based deep reinforcement learning approach ↗](https://doi.org/10.1007/s11704-024-3380-1)**Yizhou Yang, Longde Chen, Sha Liu et al.*13 citations*
23. **[FedDAA: a robust federated learning framework to protect privacy and defend against adversarial attack ↗](https://doi.org/10.1007/s11704-023-2283-x)**Shiwei Lu, Ruihu Li, Wenbin Liu*13 citations*
24. **[Foundation model enhanced derivative-free cognitive diagnosis ↗](https://doi.org/10.1007/s11704-024-40029-1)**Mingjia Li, Hong Qian, Jia Lv et al.*13 citations*
25. **[Large language models make sample-efficient recommender systems ↗](https://doi.org/10.1007/s11704-024-40039-z)**Jianghao Lin, Xinyi Dai, Rong Shan et al.*13 citations*

[See all 146 papers in Frontiers of Computer Science 2024 — papers →](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/2024/papers/)

## Works with our summary in our library (1)

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

1. **[Tool Learning with Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/qu-2024-tool-learning-large-language-models/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Changle Qu, Sunhao Dai, Xiaochi Wei, et al.*2024 · 195 citations*

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Changle Qu**1 work here · 195 citations](https://md.research.elamur.ai/free/en/authors/changle-qu/) · [🧑‍🔬**Dawei Yin**1 work here · 195 citations](https://md.research.elamur.ai/free/en/authors/dawei-yin/) · [🧑‍🔬**Hengyi Cai**1 work here · 195 citations](https://md.research.elamur.ai/free/en/authors/hengyi-cai/) · [🧑‍🔬**Ji-Rong Wen**1 work here · 195 citations](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) · [🧑‍🔬**Jun Xu**1 work here · 195 citations](https://md.research.elamur.ai/free/en/authors/jun-xu/) · [🧑‍🔬**Shuaiqiang Wang**1 work here · 195 citations](https://md.research.elamur.ai/free/en/authors/shuaiqiang-wang/) · [🧑‍🔬**Sunhao Dai**1 work here · 195 citations](https://md.research.elamur.ai/free/en/authors/sunhao-dai/) · [🧑‍🔬**Xiaochi Wei**1 work here · 195 citations](https://md.research.elamur.ai/free/en/authors/xiaochi-wei/)

## Top institutions

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

[🏛️**Chinese Academy of Sciences** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**Renmin University of China** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🏢**Baidu** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/companies/baidu/)

works and citations from OpenAlex and our library.

- [← previous Frontiers of Computer Science 2023](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/2023/)
- [↑ back to Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)