Jun Shen

9.8k total citations · 2 hit papers
479 papers, 6.3k citations indexed

About

Jun Shen is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jun Shen has authored 479 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Artificial Intelligence, 131 papers in Information Systems and 91 papers in Computer Networks and Communications. Recurrent topics in Jun Shen's work include Service-Oriented Architecture and Web Services (54 papers), Online Learning and Analytics (31 papers) and IoT and Edge/Fog Computing (25 papers). Jun Shen is often cited by papers focused on Service-Oriented Architecture and Web Services (54 papers), Online Learning and Analytics (31 papers) and IoT and Edge/Fog Computing (25 papers). Jun Shen collaborates with scholars based in Australia, China and United States. Jun Shen's co-authors include Jian Shen, S. Castan, Jun Yan, Lijuan Wang, Geng Sun, Huaming Chen, Qingguo Zhou, Binbin Yong, Fang Dong and Jie Yang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Jun Shen

416 papers receiving 6.0k citations

Hit Papers

An Efficient Public Audit... 2017 2026 2020 2023 2017 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Shen 1.8k 1.6k 1.4k 860 846 479 6.3k
Anand Nayyar 1.5k 0.9× 1.6k 1.0× 2.2k 1.6× 1000 1.2× 1.7k 2.0× 312 7.7k
Xiao Wang 1.1k 0.6× 1.8k 1.1× 938 0.7× 955 1.1× 1.0k 1.2× 394 7.3k
Mohamed Hashem 2.3k 1.3× 1.7k 1.1× 3.1k 2.3× 659 0.8× 1.0k 1.2× 265 9.7k
Iqbal H. Sarker 1.3k 0.7× 2.6k 1.6× 1.5k 1.1× 723 0.8× 582 0.7× 102 8.4k
Hengshu Zhu 1.9k 1.1× 3.5k 2.2× 541 0.4× 1.3k 1.5× 616 0.7× 186 8.1k
Václav Snåšel 970 0.6× 2.7k 1.7× 1.0k 0.7× 907 1.1× 1.1k 1.3× 572 7.4k
Xiaokang Zhou 1.6k 0.9× 2.9k 1.8× 2.2k 1.6× 1.1k 1.3× 1.0k 1.2× 214 6.9k
Qun Jin 1.2k 0.7× 2.0k 1.2× 1.6k 1.2× 999 1.2× 633 0.7× 314 5.2k
Chin‐Feng Lai 1.0k 0.6× 808 0.5× 2.6k 1.9× 910 1.1× 1.3k 1.6× 201 5.4k
Mehedi Masud 1.3k 0.7× 1.8k 1.1× 1.3k 0.9× 843 1.0× 835 1.0× 260 5.7k

Countries citing papers authored by Jun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shen. A scholar is included among the top collaborators of Jun Shen 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 Jun Shen. Jun Shen 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.
Zhang, Haotian, Jun Liu, Zi‐Zhou Yuan, et al.. (2025). Wettability characteristics of lunar soil particles from the Chang’E-5 mission: A single-particle surface analysis. Applied Surface Science. 702. 163331–163331. 2 indexed citations
2.
Jiang, Shengjun, et al.. (2025). Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning. ACM Transactions on Intelligent Systems and Technology. 16(5). 1–24. 2 indexed citations
3.
Shen, Jun, et al.. (2024). Pandemics and FDI inflows: The role of infrastructures. International Review of Economics & Finance. 93. 552–566. 5 indexed citations
4.
Huang, Lizhen, Mengjie Song, Jun Shen, et al.. (2024). Experimental study on the effect of inverted aperture plate temperature on frosting characteristics under rising flow considering edge effect. International Journal of Heat and Mass Transfer. 224. 125343–125343. 6 indexed citations
5.
Shen, Jun, et al.. (2024). Deep Spatio-Temporal Fuzzy Model for NDVI Forecasting. IEEE Transactions on Fuzzy Systems. 33(1). 290–301. 5 indexed citations
7.
Chen, Huaming, et al.. (2024). GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction. Briefings in Bioinformatics. 25(4). 1 indexed citations
8.
Shen, Jun, et al.. (2024). A Novel Point Cloud Registration Method for Multimedia Communication in Automated Driving Metaverse. ACM Transactions on Internet Technology.
9.
Wang, Xiaosong, Qian Da, Xiaoqiang Liu, et al.. (2023). A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. Scientific Data. 10(1). 574–574. 30 indexed citations
10.
Tian, Yueyang, Xiaoliang Liu, Seyyed Hossein Hosseini, et al.. (2023). An experimental study on edge-affected frosting characteristics on a vertical cold plate at different air velocities. Applied Thermal Engineering. 236. 121882–121882. 8 indexed citations
11.
Zhang, Cheng, Bo Du, Zuduo Zheng, & Jun Shen. (2023). Space sharing between pedestrians and micro-mobility vehicles: A systematic review. Transportation Research Part D Transport and Environment. 116. 103629–103629. 37 indexed citations
12.
Chen, Huaming, et al.. (2023). FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. Research Online (University of Wollongong). 3657–3666.
13.
Wu, Jianqing, Yihui Wang, Bo Du, et al.. (2021). The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2445–2456. 16 indexed citations
14.
Feng, Fang, et al.. (2020). Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification. IEEE Access. 8. 69979–69996. 52 indexed citations
15.
Li, Mengxiang, et al.. (2019). Organisational-Level Assessment of Cloud Computing Adoption. Journal of Global Information Management. 28(2). 73–89. 31 indexed citations
16.
Shen, Dian, Junzhou Luo, Fang Dong, et al.. (2019). Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information. IEEE Transactions on Services Computing. 13(2). 381–394. 4 indexed citations
17.
Lee, Mark, Sasha Nikolic, Montserrat Ros, et al.. (2018). Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). 1–1. 13 indexed citations
18.
Chen, Huaming, William Guo, Jun Shen, Lei Wang, & Jiangning Song. (2018). Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey. IEEE Access. 6. 11760–11771. 11 indexed citations
19.
Aslam, Muhammad Ahtisham, et al.. (2011). Using Ontologies to Synchronize Change in Relational Database Systems. Research Online (University of Wollongong). 1 indexed citations
20.
Aslam, Muhammad Ahtisham, Sören Auer, Jun Shen, & Michael Herrmann. (2006). Expressing business process models as OWL-S ontologies. Research Online (University of Wollongong). 5 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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