Dongsheng Li

4.0k total citations · 1 hit paper
159 papers, 2.6k citations indexed

About

Dongsheng Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dongsheng Li has authored 159 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 58 papers in Information Systems and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dongsheng Li's work include Recommender Systems and Techniques (56 papers), Advanced Graph Neural Networks (20 papers) and Caching and Content Delivery (14 papers). Dongsheng Li is often cited by papers focused on Recommender Systems and Techniques (56 papers), Advanced Graph Neural Networks (20 papers) and Caching and Content Delivery (14 papers). Dongsheng Li collaborates with scholars based in China, United States and Hong Kong. Dongsheng Li's co-authors include Hong‐Nan Li, Gangbing Song, Li Shang, Qin Lv, Ning Gu, Tun Lu, Yingying Zhao, Chao Chen, Hansu Gu and Bo Yang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Food Chemistry.

In The Last Decade

Dongsheng Li

141 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recent applications of fiber optic sensors to health monitoring in civil engineering

2004 713 citations Dongsheng Li et al. Engineering Structures profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dongsheng Li China	22	743	723	645	605	346	159	2.6k
Benyamın Abdollahzadeh Iran	13	1.7k 2.3×	636 0.9×	144 0.2×	154 0.3×	365 1.1×	16	3.1k
Dongshu Wang China	4	566 0.8×	500 0.7×	165 0.3×	88 0.1×	225 0.7×	7	2.1k
Liying Wang China	17	2.0k 2.7×	1.1k 1.5×	215 0.3×	113 0.2×	390 1.1×	59	4.0k
Feng Wang China	28	266 0.4×	638 0.9×	153 0.2×	185 0.3×	456 1.3×	145	2.3k
Xu Cheng China	26	322 0.4×	333 0.5×	109 0.2×	231 0.4×	559 1.6×	175	2.5k
Jianhua Liu China	24	313 0.4×	434 0.6×	218 0.3×	83 0.1×	368 1.1×	178	2.2k
Yingjie Song China	19	1.0k 1.4×	443 0.6×	111 0.2×	97 0.2×	310 0.9×	61	2.6k
Yimin Yang China	30	1.0k 1.4×	458 0.6×	207 0.3×	122 0.2×	870 2.5×	149	3.1k
Songfeng Lu China	34	2.0k 2.7×	752 1.0×	87 0.1×	429 0.7×	671 1.9×	173	4.1k

Countries citing papers authored by Dongsheng Li

Since Specialization

Citations

This map shows the geographic impact of Dongsheng Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dongsheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongsheng Li more than expected).

Fields of papers citing papers by Dongsheng Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dongsheng Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dongsheng Li. The network helps show where Dongsheng Li may publish in the future.

Co-authorship network of co-authors of Dongsheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Li. A scholar is included among the top collaborators of Dongsheng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongsheng Li. Dongsheng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2025). Frequency-aware Graph Signal Processing for Collaborative Filtering. 1417–1421.

2.

Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2025). Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. 363–372.

3.

Jiang, Tao, et al.. (2025). A novel strain-based deformation monitoring method for subsea free-spanning pipelines. Engineering Structures. 343. 120998–120998.

4.

Li, Dongsheng, Hansu Gu, Peng Zhang, et al.. (2025). AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations. 2566–2571.

5.

Zhang, Peng, Dongsheng Li, Hansu Gu, et al.. (2025). Filtering Discomforting Recommendations with Large Language Models. 3639–3650.

6.

Zhou, Junlong, Dongsheng Li, & Zhikang Zhang. (2024). Bond Durability of GFRP and BFRP Bars embedded in PVA Fiber–Reinforced Seawater and Sea-Sand Concrete under Seawater Freeze–Thaw Cycles. Journal of Composites for Construction. 28(5).

7.

Li, Dongsheng, et al.. (2024). Simulating News Recommendation Ecosystems for Insights and Implications. IEEE Transactions on Computational Social Systems. 11(5). 5699–5713. 8 indexed citations

8.

Ouyang, Boshu, Caihua Shan, Shun-Qing Shen, et al.. (2024). AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer. Nature Communications. 15(1). 7560–7560. 20 indexed citations

9.

Gu, Hansu, et al.. (2023). Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. 2523–2533. 15 indexed citations

10.

Fang, Yuchen, Kan Ren, Yifei Shen, et al.. (2023). Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7530–7538. 8 indexed citations

11.

Fang, Yuchen, Kan Ren, Weiqing Liu, et al.. (2023). Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. arXiv (Cornell University). 4003–4012. 2 indexed citations

12.

Li, Dongsheng, et al.. (2023). SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. 143–153. 16 indexed citations

13.

Li, Dongsheng, et al.. (2019). Non-destructive evaluation and pattern recognition for SCRC columns using the AE technique. 6(3). 173–190. 3 indexed citations

14.

Li, Dongsheng, et al.. (2019). A Bernstein problem for special Lagrangian equations in exterior domains. Advances in Mathematics. 361. 106927–106927. 17 indexed citations

15.

Shen, Siqi, et al.. (2018). 基于样本权重更新的不平衡数据集成学习方法 (Ensemble Learning Method for Imbalanced Data Based on Sample Weight Updating).. 45. 31–37. 1 indexed citations

16.

Deng, Tongsheng, Dongsheng Li, & Xiaoqiang Li. (2017). Temperature variation model of titanium alloy L-angle profile in hot stretch forming with resistance heating. The International Journal of Advanced Manufacturing Technology. 95(5-8). 2105–2110. 6 indexed citations

17.

Yang, Ke, Peng Qiao, Dongsheng Li, Shaohe Lv, & Yong Dou. (2017). TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization.. arXiv (Cornell University). 1 indexed citations

18.

Li, Dongsheng, Chao Chen, Wei Liu, et al.. (2017). Mixture-Rank Matrix Approximation for Collaborative Filtering. Neural Information Processing Systems. 30. 477–485. 14 indexed citations

19.

Li, Dongsheng, et al.. (2017). Boundary behavior of solutions of Monge–Ampère equations with singular righthand sides. Journal of Mathematical Analysis and Applications. 454(1). 79–93. 8 indexed citations

20.

Li, Dongsheng. (2010). Considerations of Constructing Experimental Teaching Demonstration Center of Metrology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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