Shengchao Su

476 total citations
20 papers, 361 citations indexed

About

Shengchao Su is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Shengchao Su has authored 20 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Electrical and Electronic Engineering and 3 papers in Automotive Engineering. Recurrent topics in Shengchao Su's work include IoT and Edge/Fog Computing (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Indoor and Outdoor Localization Technologies (3 papers). Shengchao Su is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Indoor and Outdoor Localization Technologies (3 papers). Shengchao Su collaborates with scholars based in China, Saudi Arabia and United States. Shengchao Su's co-authors include Shuguang Zhao, Xiang Cheng, Xuan Xiao, Kuo‐Chen Chou, Xintian Liu, Y.S. Wang, Haoxuan Wang, Xiaolan Wang, Xiang Cheng and Zhiwei Li and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and IEEE Sensors Journal.

In The Last Decade

Shengchao Su

16 papers receiving 351 citations

Peers

Shengchao Su
Yongsheng Liu China
Peizheng Li United Kingdom
Fan Ning China
Yifeng Zhu China
Dongliang Liu China
Tomasz Andrysiak Poland
Yufei Ren China
Junjie Yan China
Yongsheng Liu China
Shengchao Su
Citations per year, relative to Shengchao Su Shengchao Su (= 1×) peers Yongsheng Liu

Countries citing papers authored by Shengchao Su

Since Specialization
Citations

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

Fields of papers citing papers by Shengchao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengchao Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shengchao Su. A scholar is included among the top collaborators of Shengchao Su 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 Shengchao Su. Shengchao Su 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.
Su, Shengchao, et al.. (2025). Optimizing task offloading in MIMO-enabled vehicular networks through deep reinforcement learning. Vehicular Communications. 53. 100901–100901.
2.
Su, Shengchao, et al.. (2025). Attention-augmented multi-agent collaboration for Smart Industrial Internet of Things task offloading. Internet of Things. 31. 101572–101572. 1 indexed citations
3.
4.
Hua, K.A., Shengchao Su, & Yiwang Wang. (2024). Intelligent service migration for the internet of vehicles in edge computing: A mobility-aware deep reinforcement learning framework. Computer Networks. 257. 111021–111021. 3 indexed citations
5.
Song, Zhihao, Xintian Liu, Yu Fang, Xu Wang, & Shengchao Su. (2024). Topology optimization for cold plate using neural networks as proxy models. Engineering Optimization. 56(12). 2359–2386. 6 indexed citations
6.
Su, Shengchao, et al.. (2024). Reliable Computation Offloading of DAG Applications in Internet of Vehicles Based on Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 74(2). 2116–2128. 4 indexed citations
7.
8.
Su, Shengchao, et al.. (2023). A cellular learning automata-based approach for self-protection and coverage problem in the Internet of Things. Internet of Things. 22. 100718–100718. 4 indexed citations
9.
Su, Shengchao, et al.. (2023). Collaborative Motion Planning Based on the Improved Ant Colony Algorithm for Multiple Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems. 25(3). 2792–2802. 20 indexed citations
10.
Su, Shengchao, et al.. (2023). An Improved Stochastic Fractal Search Based on Entropy Multitrust Fusion Model for IoT-Enabled WSNs Clustering. IEEE Sensors Journal. 23(23). 29694–29704. 1 indexed citations
11.
Liu, Xintian, et al.. (2022). Evaluation and prediction of material fatigue characteristics under impact loads: review and prospects. International Journal of Structural Integrity. 13(2). 251–277. 50 indexed citations
12.
Su, Shengchao, et al.. (2022). Deployment Optimization of Self-Powered Sensors for Coverage Enhancement in the Internet of Things Sensing Layer. IEEE Sensors Journal. 23(18). 20773–20781. 3 indexed citations
13.
Zhao, Shuguang, et al.. (2021). Hessian-MRLoG: Hessian information and multi-scale reverse LoG filter for pulmonary nodule detection. Computers in Biology and Medicine. 131. 104272–104272. 18 indexed citations
14.
Su, Shengchao, et al.. (2021). A Mobile Sensors Dispatch Scheme Based on Improved SOM Algorithm for Coverage Hole Healing. IEEE Sensors Journal. 21(18). 21080–21089. 6 indexed citations
15.
Liu, Xintian, et al.. (2020). Interval dynamic reliability analysis of mechanical components under multistage load based on strength degradation. Quality and Reliability Engineering International. 37(2). 567–582. 18 indexed citations
16.
Su, Shengchao & Shuguang Zhao. (2018). A novel virtual force-based data aggregation mechanism with mobile sink in wireless sensor networks. Cluster Computing. 22(S6). 13219–13234. 6 indexed citations
17.
Zheng, Qianqian, et al.. (2018). Modified Gaussian Models for Pulmonary Nodule Simulation in Chest Tomosynthesis. Journal of Medical Imaging and Health Informatics. 8(8). 1718–1725. 1 indexed citations
18.
19.
Su, Shengchao & Shuguang Zhao. (2017). An optimal clustering mechanism based on Fuzzy-C means for wireless sensor networks. Sustainable Computing Informatics and Systems. 18. 127–134. 51 indexed citations
20.
Su, Shengchao & Shuguang Zhao. (2017). A hierarchical hybrid of genetic algorithm and particle swarm optimization for distributed clustering in large-scale wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing. 16 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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