Dongsheng Luo

1.2k total citations · 1 hit paper
36 papers, 517 citations indexed

About

Dongsheng Luo is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Dongsheng Luo has authored 36 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 9 papers in Statistical and Nonlinear Physics and 6 papers in Signal Processing. Recurrent topics in Dongsheng Luo's work include Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (9 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Dongsheng Luo is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (9 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Dongsheng Luo collaborates with scholars based in United States, China and Germany. Dongsheng Luo's co-authors include Wei Cheng, X. D. Zhang, Jingchao Ni, Wenchao Yu, Bo Zong, Haifeng Chen, Dongkuan Xu, Xiao Liu, Yuchen Bian and Xiang Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Dongsheng Luo

34 papers receiving 508 citations

Hit Papers

Learning to Drop: Robust Graph Neural Network via Topolog... 2021 2026 2022 2024 2021 50 100 150
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.

  1. Learning to Drop: Robust Graph Neural Network via Topological Denoising
    2021 156 citations Dongsheng Luo, Wei Cheng et al. profile →

Peers

Dongsheng Luo
Sungsu Lim South Korea
Anupam Biswas India
Huiyuan Chen United States
Alper Özcan Türkiye
Yingtong Dou United States
Quanyu Dai China
Sungsu Lim South Korea
Dongsheng Luo
Citations per year, relative to Dongsheng Luo Dongsheng Luo (= 1×) peers Sungsu Lim

Countries citing papers authored by Dongsheng Luo

Since Specialization
Citations

This map shows the geographic impact of Dongsheng Luo'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 Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongsheng Luo more than expected).

Fields of papers citing papers by Dongsheng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dongsheng Luo. 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 Luo. The network helps show where Dongsheng Luo may publish in the future.

Co-authorship network of co-authors of Dongsheng Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Luo. A scholar is included among the top collaborators of Dongsheng Luo 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 Luo. Dongsheng Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Luo, Dongsheng, et al.. (2025). DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions. ACM Transactions on Knowledge Discovery from Data. 19(4). 1–21. 4 indexed citations
3.
Ni, Jingchao, Ziming Zhao, Hanghang Tong, et al.. (2025). Harnessing Vision Models for Time Series Analysis: A Survey. 10612–10620. 1 indexed citations
4.
5.
Luo, Dongsheng, Tianxiang Zhao, Wei Cheng, et al.. (2024). Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5245–5259. 6 indexed citations
6.
Dai, Enyan, et al.. (2024). Shape-aware Graph Spectral Learning. 2692–2701. 2 indexed citations
7.
Luo, Dongsheng, et al.. (2024). Rank Supervised Contrastive Learning for Time Series Classification. 839–844. 2 indexed citations
8.
Peng, Wen-Chih, Ling Chen, Dongsheng Luo, et al.. (2024). Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort electronic health records. Scientific Reports. 14(1). 20774–20774. 11 indexed citations
9.
Huang, Rundong, et al.. (2024). Factorized Explainer for Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12626–12634. 3 indexed citations
10.
Luo, Dongsheng, et al.. (2024). MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction. International Journal of Molecular Sciences. 25(5). 2788–2788. 17 indexed citations
11.
Zhang, Jiaxing, Dongsheng Luo, & Hua Wei. (2023). MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. arXiv (Cornell University). 3286–3296. 7 indexed citations
12.
Luo, Dongsheng, Wei Cheng, Yingheng Wang, et al.. (2023). Time Series Contrastive Learning with Information-Aware Augmentations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4534–4542. 47 indexed citations
13.
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Wang, Tianchun, Wei Cheng, Dongsheng Luo, et al.. (2022). Personalized Federated Learning via Heterogeneous Modular Networks. 1197–1202. 7 indexed citations
15.
Zhang, Xing‐Guo, et al.. (2022). Antibiofilm and Antiquorum Sensing Potential of Lactiplantibacillus plantarum Z057 against Vibrio parahaemolyticus. Foods. 11(15). 2230–2230. 17 indexed citations
16.
Luo, Dongsheng, Wei Cheng, Wenchao Yu, et al.. (2021). Learning to Drop: Robust Graph Neural Network via Topological Denoising. 779–787. 156 indexed citations breakdown →
17.
Luo, Dongsheng, et al.. (2019). Research on P2P Credit Risk Assessment Model Based on RBM Feature Extraction—Take SME Customers as an Example. Open Journal of Business and Management. 7(4). 1553–1563. 5 indexed citations
18.
Bian, Yuchen, et al.. (2019). Constrained Local Graph Clustering by Colored Random Walk. 2137–2146. 19 indexed citations
19.
Ma, Shuai, et al.. (2018). Query Independent Scholarly Article Ranking. 953–964. 5 indexed citations
20.
Luo, Dongsheng, et al.. (2017). The P2P Risk Assessment Model Based on the Improved AdaBoost-SVM Algorithm. Journal of Financial Risk Management. 6(2). 201–209. 10 indexed citations

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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