Songtao Guo

7.2k total citations · 3 hit papers
260 papers, 5.3k citations indexed

About

Songtao Guo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Songtao Guo has authored 260 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Computer Networks and Communications, 122 papers in Electrical and Electronic Engineering and 59 papers in Artificial Intelligence. Recurrent topics in Songtao Guo's work include IoT and Edge/Fog Computing (65 papers), Energy Harvesting in Wireless Networks (33 papers) and Software-Defined Networks and 5G (32 papers). Songtao Guo is often cited by papers focused on IoT and Edge/Fog Computing (65 papers), Energy Harvesting in Wireless Networks (33 papers) and Software-Defined Networks and 5G (32 papers). Songtao Guo collaborates with scholars based in China, United States and Hong Kong. Songtao Guo's co-authors include Yuanyuan Yang, Bin Xiao, Jiadi Liu, Quyuan Wang, Xiaofeng Liao, Cong Wang, Yang Yang, Zhetao Li, Kai Liu and Zecheng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nanoscale and Sensors.

In The Last Decade

Songtao Guo

245 papers receiving 5.1k 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.

Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing

2016 295 citations Songtao Guo, Bin Xiao et al. profile →
Energy-Efficient Dynamic Computation Offloading and Cooperative Task Scheduling in Mobile Cloud Computing

2018 280 citations Songtao Guo, Yuanyuan Yang et al. IEEE Transactions on Mobile Computing profile →
A Survey of IoT Applications in Blockchain Systems

2020 221 citations Zecheng Li, Bin Xiao et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Songtao Guo China	40	3.6k	2.3k	1.2k	874	434	260	5.3k
Weifa Liang Australia	45	5.5k 1.5×	3.2k 1.4×	1.2k 1.0×	539 0.6×	543 1.3×	282	7.2k
Nguyen H. Tran South Korea	42	4.1k 1.1×	2.9k 1.3×	1.3k 1.0×	1.8k 2.1×	355 0.8×	217	6.5k
Chunsheng Zhu China	37	3.1k 0.9×	1.5k 0.7×	1.1k 0.9×	1.1k 1.2×	459 1.1×	177	4.9k
Huaming Wu China	32	2.7k 0.7×	1.2k 0.5×	1.1k 0.9×	716 0.8×	723 1.7×	182	4.0k
Julie A. McCann United Kingdom	31	2.6k 0.7×	1.7k 0.7×	824 0.7×	1.1k 1.2×	450 1.0×	183	4.6k
Yingshu Li United States	36	3.8k 1.1×	1.9k 0.8×	717 0.6×	1.4k 1.6×	379 0.9×	217	6.0k
Wolfgang Kellerer Germany	42	5.1k 1.4×	3.2k 1.4×	680 0.6×	490 0.6×	781 1.8×	456	6.5k
Sammy Chan Hong Kong	43	3.8k 1.1×	1.7k 0.7×	1.3k 1.1×	1.4k 1.6×	356 0.8×	254	5.4k
Amiya Nayak Canada	41	3.6k 1.0×	2.2k 1.0×	1.0k 0.8×	1.5k 1.7×	339 0.8×	324	5.9k
Chuang Lin China	42	5.1k 1.4×	2.4k 1.1×	1.7k 1.4×	809 0.9×	533 1.2×	364	6.5k

Countries citing papers authored by Songtao Guo

Since Specialization

Citations

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

Fields of papers citing papers by Songtao Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songtao Guo

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

Yu, Fangwen, Mingyan Li, Chao Chen, et al.. (2025). Event-Driven Tactile Sensing With Dense Spiking Graph Neural Networks. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.

Wang, Ping, et al.. (2025). Accurate and Efficient Human Activity Recognition Through Semi-Supervised Deep Learning. IEEE Sensors Journal. 25(12). 23105–23116.

Li, Yin, et al.. (2024). Joint Task Allocation and Computation Offloading in Mobile Edge Computing With Energy Harvesting. IEEE Internet of Things Journal. 11(23). 38441–38454. 11 indexed citations

Gu, Fuqiang, Fangwen Yu, Chao Chen, et al.. (2024). Accurate and efficient floor localization with scalable spiking graph neural networks. SHILAP Revista de lepidopterología. 5(1). 4 indexed citations

Dai, Penglin, et al.. (2024). Context-Aware Offloading for Edge-Assisted On-Device Video Analytics Through Online Learning Approach. IEEE Transactions on Mobile Computing. 23(12). 12761–12777. 4 indexed citations

Guo, Songtao, et al.. (2024). Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18305–18320. 9 indexed citations

Li, Mingyan, et al.. (2024). Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT. IEEE Transactions on Network Science and Engineering. 11(4). 3639–3652. 15 indexed citations

Zhou, Pengzhan, et al.. (2024). Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network. Soft Computing. 28(17-18). 9509–9520.

Guo, Songtao, Jun Zhao, Junqing Le, et al.. (2024). ASMAFL: Adaptive Staleness-Aware Momentum Asynchronous Federated Learning in Edge Computing. IEEE Transactions on Mobile Computing. 24(4). 3390–3406. 3 indexed citations

10.

Guo, Songtao, et al.. (2024). FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(5). 3678–3690. 1 indexed citations

11.

Chen, Yunhui, et al.. (2024). SIC-Enabled Intelligent Online Task Concurrent Offloading for Wireless Powered MEC. IEEE Internet of Things Journal. 11(12). 22684–22696. 2 indexed citations

12.

Wang, Zhengming, et al.. (2024). Cloud–Edge Framework for AoI-Efficient Data Processing in Multi-UAV-Assisted Sensor Networks. IEEE Internet of Things Journal. 11(14). 25251–25267. 7 indexed citations

13.

Zhao, Jie, Chao Chen, Wanyi Zhang, et al.. (2023). Coupling Makes Better: An Intertwined Neural Network for Taxi and Ridesourcing Demand Co-Prediction. IEEE Transactions on Intelligent Transportation Systems. 25(2). 1691–1705. 8 indexed citations

14.

Lu, Huimin, et al.. (2023). SyRoC: Symbiotic robotics for QoS-aware heterogeneous applications in IoT-edge-cloud computing paradigm. Future Generation Computer Systems. 150. 202–219. 8 indexed citations

15.

Li, Zecheng, et al.. (2021). Pistis: Issuing Trusted and Authorized Certificates With Distributed Ledger and TEE. IEEE Transactions on Parallel and Distributed Systems. 33(7). 1636–1649. 9 indexed citations

16.

Zeng, Yue, Baoliu Ye, Bin Tang, Songtao Guo, & Zhihao Qu. (2020). Scheduling coflows of multi-stage jobs under network resource constraints. Computer Networks. 184. 107686–107686. 5 indexed citations

17.

Li, Zecheng, et al.. (2020). A Survey of IoT Applications in Blockchain Systems. ACM Computing Surveys. 53(1). 1–32. 221 indexed citations breakdown →

18.

Guo, Songtao & Zhouwang Yang. (2018). Multi-Channel-ResNet: An integration framework towards skin lesion analysis. Informatics in Medicine Unlocked. 12. 67–74. 48 indexed citations

19.

Peng, Zhe, Shang Gao, Bin Xiao, Songtao Guo, & Yuanyuan Yang. (2017). CrowdGIS: Updating Digital Maps via Mobile Crowdsensing. IEEE Transactions on Automation Science and Engineering. 15(1). 369–380. 30 indexed citations

20.

Wu, Xintao, Yongge Wang, Songtao Guo, & Yuliang Zheng. (2007). Privacy Preserving Database Generation for Database Application Testing. Fundamenta Informaticae. 78(4). 595–612. 9 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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