Shoubin Dong

2.8k total citations · 1 hit paper
127 papers, 1.9k citations indexed

About

Shoubin Dong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Shoubin Dong has authored 127 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 45 papers in Computer Networks and Communications and 40 papers in Information Systems. Recurrent topics in Shoubin Dong's work include Distributed and Parallel Computing Systems (21 papers), Cloud Computing and Resource Management (20 papers) and Topic Modeling (14 papers). Shoubin Dong is often cited by papers focused on Distributed and Parallel Computing Systems (21 papers), Cloud Computing and Resource Management (20 papers) and Topic Modeling (14 papers). Shoubin Dong collaborates with scholars based in China, United States and Hong Kong. Shoubin Dong's co-authors include Jinlong Hu, Liyun Zuo, Lei Shu, Chunsheng Zhu, Takahiro Hara, Liqun Tang, Deyu Tang, Zhenyu Jiang, Zejia Liu and Yiping Liu and has published in prestigious journals such as Journal of Neuroscience, Remote Sensing of Environment and Biophysical Journal.

In The Last Decade

Shoubin Dong

116 papers receiving 1.8k 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.

A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing

2015 263 citations Liyun Zuo, Lei Shu et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shoubin Dong China	24	692	624	588	343	126	127	1.9k
Sambit Bakshi India	27	376 0.5×	279 0.4×	552 0.9×	927 2.7×	75 0.6×	129	2.0k
Jun Long China	25	371 0.5×	688 1.1×	889 1.5×	442 1.3×	65 0.5×	178	2.5k
Yu Xie China	24	383 0.6×	365 0.6×	1.8k 3.1×	379 1.1×	117 0.9×	88	2.5k
El-Sayed M. El-Alfy Saudi Arabia	24	363 0.5×	371 0.6×	930 1.6×	612 1.8×	33 0.3×	145	2.3k
Mznah Al‐Rodhaan Saudi Arabia	26	378 0.5×	771 1.2×	773 1.3×	492 1.4×	49 0.4×	80	2.2k
Yun Li China	17	197 0.3×	179 0.3×	659 1.1×	326 1.0×	94 0.7×	106	1.4k
Mohammad Azzeh Jordan	21	992 1.4×	236 0.4×	629 1.1×	171 0.5×	75 0.6×	83	2.1k
Moshe Kam United States	22	284 0.4×	683 1.1×	671 1.1×	391 1.1×	55 0.4×	187	2.1k
Quan Wang China	28	431 0.6×	848 1.4×	1.7k 2.8×	919 2.7×	94 0.7×	202	3.6k
Hongxia Wang China	28	288 0.4×	355 0.6×	392 0.7×	1.7k 4.8×	60 0.5×	298	2.7k

Countries citing papers authored by Shoubin Dong

Since Specialization

Citations

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

Fields of papers citing papers by Shoubin Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoubin Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Shoubin Dong. A scholar is included among the top collaborators of Shoubin Dong 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 Shoubin Dong. Shoubin Dong 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

Huang, Yuying, et al.. (2025). Confidence-Aware Adaptive Fusion Leaning of Imbalance Multi-Modal Data for Cancer Diagnosis and Prognosis. IEEE Journal of Biomedical and Health Informatics. 30(1). 609–616. 1 indexed citations

He, Yichen, et al.. (2025). Pretraining-based Relevance-aware Visit Similarity Network for Drug Recommendation. IEEE Journal of Biomedical and Health Informatics. PP. 1–14.

Dong, Shoubin, et al.. (2025). Car Damage Detection Based on Multi-View Fusion and Alignment: Dataset and Method. IEEE Transactions on Intelligent Transportation Systems. 26(4). 4717–4730.

Zhou, Licheng, Bao Yang, Zejia Liu, et al.. (2024). Transformer based deep learning for digital image correlation. Optics and Lasers in Engineering. 184. 108568–108568. 6 indexed citations

Huang, Zhidong, Xiaofei Wu, & Shoubin Dong. (2024). Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach. Computer Communications. 225. 27–43. 4 indexed citations

Dong, Shoubin, et al.. (2024). Knowledge enhanced edge-driven graph neural ranking for biomedical information retrieval. Expert Systems with Applications. 263. 125787–125787.

Wu, Xiaofei, et al.. (2023). Multi-objective computation offloading based on Invasive Tumor Growth Optimization for collaborative edge-cloud computing. Soft Computing. 27(23). 17747–17761. 1 indexed citations

Hu, Jinlong, et al.. (2023). Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval. Computers in Biology and Medicine. 166. 107535–107535. 1 indexed citations

Zhou, Licheng, Bao Yang, Zejia Liu, et al.. (2023). Image feature based quality assessment of speckle patterns for digital image correlation measurement. Measurement. 222. 113590–113590. 21 indexed citations

10.

Hu, Jinlong, et al.. (2023). Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history. Knowledge-Based Systems. 281. 111082–111082. 11 indexed citations

11.

Huang, Weixian, et al.. (2022). A Review of Fusion Methods for Omics and Imaging Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(1). 74–93. 22 indexed citations

12.

Tang, Liqun, Zejia Liu, Shoubin Dong, et al.. (2021). Numerical Model for Formation and Evolution of the Bleb. International Journal of Applied Mechanics. 13(1). 2150009–2150009.

13.

Dong, Shoubin, et al.. (2021). Spark-ITGO: a parallel invasive tumor growth optimization algorithm on spark. Cluster Computing. 25(4). 2633–2660. 1 indexed citations

14.

Dong, Shoubin, et al.. (2021). GPU accelerated parallel reliability-guided digital volume correlation with automatic seed selection based on 3D SIFT. Parallel Computing. 108. 102824–102824. 5 indexed citations

15.

Huang, Weixian, et al.. (2021). A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data. IEEE Journal of Biomedical and Health Informatics. 25(8). 3219–3229. 11 indexed citations

16.

Hu, Jinlong, et al.. (2020). Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder. Computational and Mathematical Methods in Medicine. 2020. 1–12. 22 indexed citations

17.

Dong, Shoubin, et al.. (2020). Document-Level Biomedical Relation Extraction Leveraging Pretrained Self-Attention Structure and Entity Replacement: Algorithm and Pretreatment Method Validation Study. JMIR Medical Informatics. 8(5). e17644–e17644. 6 indexed citations

18.

Zhou, Jing, et al.. (2020). A Vascular Invasive Tumor Growth Optimization Algorithm for Multi-Objective Optimization. IEEE Access. 8. 29467–29488. 9 indexed citations

19.

Hu, Jinlong, et al.. (2017). iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection. Mobile Information Systems. 2017. 1–12. 15 indexed citations

20.

Zuo, Liyun, et al.. (2016). A Multi-Objective Hybrid Cloud Resource Scheduling Method Based on Deadline and Cost Constraints. IEEE Access. 5. 22067–22080. 43 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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