Wen‐Zhan Song

7.0k total citations
251 papers, 5.0k citations indexed

About

Wen‐Zhan Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Wen‐Zhan Song has authored 251 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Networks and Communications, 76 papers in Electrical and Electronic Engineering and 63 papers in Control and Systems Engineering. Recurrent topics in Wen‐Zhan Song's work include Energy Efficient Wireless Sensor Networks (55 papers), Smart Grid Security and Resilience (40 papers) and Mobile Ad Hoc Networks (32 papers). Wen‐Zhan Song is often cited by papers focused on Energy Efficient Wireless Sensor Networks (55 papers), Smart Grid Security and Resilience (40 papers) and Mobile Ad Hoc Networks (32 papers). Wen‐Zhan Song collaborates with scholars based in United States, China and United Kingdom. Wen‐Zhan Song's co-authors include Fangyu Li, Xiang‐Yang Li, Yu Wang, Jin Ye, Behrooz Shirazi, Richard G. LaHusen, Renjie Huang, Weizhao Wang, Maria Valero and Ophir Frieder and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Wen‐Zhan Song

237 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Zhan Song United States 38 2.3k 2.0k 1.3k 731 430 251 5.0k
Mostafa M. Fouda United States 34 1.2k 0.5× 1.7k 0.9× 1.1k 0.8× 1.3k 1.8× 687 1.6× 266 4.4k
Yong Guan China 29 615 0.3× 922 0.5× 1.0k 0.8× 676 0.9× 631 1.5× 211 3.8k
Antonio Pietrosanto Italy 29 715 0.3× 1.2k 0.6× 935 0.7× 425 0.6× 434 1.0× 243 3.4k
Zhi Liu China 36 2.3k 1.0× 2.4k 1.2× 366 0.3× 774 1.1× 1.1k 2.6× 300 5.1k
Li Zhang China 36 2.7k 1.2× 2.5k 1.3× 379 0.3× 606 0.8× 493 1.1× 348 5.0k
T. Aaron Gulliver Canada 35 2.5k 1.1× 4.0k 2.1× 544 0.4× 2.4k 3.3× 456 1.1× 731 6.9k
Yan Shi China 19 712 0.3× 1.4k 0.7× 662 0.5× 1.2k 1.7× 244 0.6× 96 3.5k
Ganapati Panda India 32 435 0.2× 974 0.5× 936 0.7× 1.7k 2.3× 598 1.4× 230 4.8k
Anna Scaglione United States 50 5.6k 2.5× 6.6k 3.4× 1.7k 1.3× 995 1.4× 285 0.7× 375 10.7k
Bo Chen China 37 2.2k 1.0× 739 0.4× 2.3k 1.8× 1.4k 1.9× 203 0.5× 287 4.5k

Countries citing papers authored by Wen‐Zhan Song

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Zhan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Zhan Song. 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 Wen‐Zhan Song. The network helps show where Wen‐Zhan Song may publish in the future.

Co-authorship network of co-authors of Wen‐Zhan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Zhan Song. A scholar is included among the top collaborators of Wen‐Zhan Song 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 Wen‐Zhan Song. Wen‐Zhan Song 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.
Wang, Peng, et al.. (2025). Exploring the divergence of rare earth trade networks with a global simulation model. iScience. 28(12). 114122–114122.
2.
Yang, He, et al.. (2025). Multi-granularity Supervised Contrastive Learning with Online Adaptation for Contactless In-bed Posture Classification. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(2). 1–32. 1 indexed citations
3.
Moreno, Silvia N.J., et al.. (2024). CageDot: Contactless Animal Activity Monitoring System to Follow Infectious Disease Progress. 812–817. 2 indexed citations
4.
Ye, Jin, et al.. (2024). Vulnerability Assessments of Induction Machine-Based Multistage Rolling Mill System Under Sensor Integrity Attacks. IEEE Transactions on Industrial Informatics. 20(6). 8616–8627.
5.
Song, Wen‐Zhan, et al.. (2024). Mutual information oriented deep skill chaining for multi‐agent reinforcement learning. CAAI Transactions on Intelligence Technology. 9(4). 1014–1030. 2 indexed citations
6.
Luo, Dan, et al.. (2024). Real-Time Continuous Blood Pressure Estimation with Contact-Free Bedseismogram. PubMed. 2024. 214–219. 1 indexed citations
7.
Zhang, Jinan, Jin Ye, Wen‐Zhan Song, et al.. (2023). Hybrid Cyber-attack Detection in Photovoltaic Farms. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6295–6300. 1 indexed citations
8.
Zhang, Jinan, Τ. N. Sriram, Alan Mantooth, et al.. (2023). Unsupervised Anomaly Detection and Diagnosis in Power Electronic Networks: Informative Leverage and Multivariate Functional Clustering Approaches. IEEE Transactions on Smart Grid. 15(2). 2214–2225. 7 indexed citations
9.
Zhang, Jinan, Lulu Guo, Jin Ye, et al.. (2023). Machine Learning-Based Cyber-Attack Detection in Photovoltaic Farms. IEEE Open Journal of Power Electronics. 4. 658–673. 14 indexed citations
10.
Haidekker, Mark A., et al.. (2023). Alternating-Current Microgrid Testbed Built with Low-Cost Modular Hardware. Sensors. 23(6). 3235–3235. 3 indexed citations
11.
Yu, Jun, Jinan Zhang, Qi Li, et al.. (2022). CONGO²: Scalable Online Anomaly Detection and Localization in Power Electronics Networks. IEEE Internet of Things Journal. 9(15). 13862–13875. 11 indexed citations
12.
Li, Fangyu, et al.. (2020). Distributed Sensor Networks Based Shallow Subsurface Imaging and Infrastructure Monitoring. IEEE Transactions on Signal and Information Processing over Networks. 6. 241–250. 11 indexed citations
13.
Lawrence, Thomas, et al.. (2018). Optimizing thermal comfort considerations with electrical demand response program implementation. Building Services Engineering Research and Technology. 39(2). 219–231. 18 indexed citations
14.
Song, Wen‐Zhan, et al.. (2018). Planetary Subsurface Exploration with Smart Seismic Networks. LPI. 1629. 1 indexed citations
15.
Song, Wen‐Zhan & Z. Q. Qu. (2016). Study of Polarimetries of the Earth-like Exoplanet. Acta Astronomica Sinica. 57(2). 165–180. 1 indexed citations
16.
Wu, Yuan, Xiaoqi Tan, Limin Meng, et al.. (2014). Cooperative distributed energy generation and energy trading for future smart grid. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8150–8157. 11 indexed citations
17.
LaHusen, Richard G., Wen‐Zhan Song, S. Kedar, et al.. (2010). Design and performance of an integrated ground and space sensor web for monitoring active volcanoes.. EGUGA. 12750. 2 indexed citations
18.
Kiely, Aaron, Mingsen Xu, Wen‐Zhan Song, Renjie Huang, & Behrooz Shirazi. (2009). Adaptive Linear Filtering Compression on realtime sensor networks. 1–10. 11 indexed citations
19.
Song, Wen‐Zhan, et al.. (2007). Optimal cluster association in two-tiered wireless sensor networks. 110–123. 3 indexed citations
20.
Wang, Weizhao, Xiangyang Li, Yu Wang, & Wen‐Zhan Song. (2003). The spanning ratios of beta-Skeleton.. Canadian Conference on Computational Geometry. 84(1). 35–38. 12 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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