Xing Shao

954 total citations · 1 hit paper
20 papers, 667 citations indexed

About

Xing Shao is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xing Shao has authored 20 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 5 papers in Control and Systems Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Xing Shao's work include Mobile Ad Hoc Networks (9 papers), Cooperative Communication and Network Coding (9 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Xing Shao is often cited by papers focused on Mobile Ad Hoc Networks (9 papers), Cooperative Communication and Network Coding (9 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Xing Shao collaborates with scholars based in China and United States. Xing Shao's co-authors include Cuixiang Wang, Ahmed Nasrallah, Martin Reisslein, Hesham Elbakoury, Akhilesh S. Thyagaturu, Jun Gao, Chuanxin Zhao, Ruchuan Wang, Lijuan Sun and Haiping Huang and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Xing Shao

19 papers receiving 648 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.

Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

2018 479 citations Ahmed Nasrallah, Akhilesh S. Thyagaturu et al. IEEE Communications Surveys & Tutorials profile →

Peers

Xing Shao

CNC

EEE

CSE

Ahmed Nasrallah United States

Hesham Elbakoury United States

Naresh Nayak Germany

Luxi Zhao China

Stephan Kehrer Germany

Luca Leonardi Italy

János Farkas Hungary

Iñaki Val Spain

Markus Rentschler Germany

Dolvara Gunatilaka United States

Ahmed Nasrallah United States

Xing Shao

599 ×1.0

CNC

197 ×0.9

EEE

171 ×1.2

94 ×1.1

48 ×1.1

CSE

Citations per year, relative to Xing Shao Xing Shao (= 1×) peers Ahmed Nasrallah

Countries citing papers authored by Xing Shao

Since Specialization

Citations

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

Fields of papers citing papers by Xing Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Shao. A scholar is included among the top collaborators of Xing Shao 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 Xing Shao. Xing Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shao, Xing, et al.. (2025). Incremental rotating machinery fault diagnosis method based on multi-scale knowledge distillation and label smoothing. Measurement Science and Technology. 36(4). 46208–46208. 1 indexed citations

Gao, Jun, et al.. (2025). Multi-scale quadratic convolutional neural network for bearing fault diagnosis based on multi-sensor data fusion. Nonlinear Dynamics. 113(12). 14223–14244. 3 indexed citations

Shao, Xing, et al.. (2025). Bearing fault diagnosis method based on multi-scale residual and multi task depthwise separable network. Signal Image and Video Processing. 19(9).

Xu, He, et al.. (2024). SAC-RSM: A High-Performance UAV-Side Road Surveillance Model Based on Super-Resolution Assisted Learning. IEEE Internet of Things Journal. 11(22). 36066–36083. 4 indexed citations

Gao, Jun, et al.. (2024). A multi-scale collaborative fusion residual neural network-based approach for bearing fault diagnosis. Measurement Science and Technology. 35(4). 46204–46204. 1 indexed citations

Shao, Xing, et al.. (2024). Unsupervised domain adaptive bearing fault diagnosis based on maximum domain discrepancy. EURASIP Journal on Advances in Signal Processing. 2024(1). 1 indexed citations

Zhao, Chuanxin, et al.. (2023). Directional charging-based scheduling strategy for multiple mobile chargers in wireless rechargeable sensor networks. Ad Hoc Networks. 149. 103251–103251. 8 indexed citations

Li, Wan, et al.. (2022). Causes of Tunnel Diseases in a Karst Stratum and Remediation Measures: A Case Study. Frontiers in Earth Science. 10. 6 indexed citations

Nasrallah, Ahmed, Akhilesh S. Thyagaturu, Cuixiang Wang, et al.. (2019). Performance Comparison of IEEE 802.1 TSN Time Aware Shaper (TAS) and Asynchronous Traffic Shaper (ATS). IEEE Access. 7. 44165–44181. 107 indexed citations

10.

Wang, Cuixiang, Xing Shao, Zhi Gao, Chuanxin Zhao, & Jun Gao. (2019). Common network coding condition and traffic matching supported network coding aware routing for wireless multihop network. International Journal of Distributed Sensor Networks. 15(6). 812338165–812338165. 9 indexed citations

11.

Nasrallah, Ahmed, Akhilesh S. Thyagaturu, Cuixiang Wang, et al.. (2018). Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research. IEEE Communications Surveys & Tutorials. 21(1). 88–145. 479 indexed citations breakdown →

12.

Shao, Xing, Cuixiang Wang, Chuanxin Zhao, & Jun Gao. (2018). Traffic Shaped Network Coding Aware Routing for Wireless Sensor Networks. IEEE Access. 6. 71767–71782. 20 indexed citations

13.

Shao, Xing, Cuixiang Wang, & Jun Gao. (2018). Research on network coding aware energy efficient routing for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking. 2018(1). 3 indexed citations

14.

Shao, Xing, et al.. (2015). Network Coding Aware QoS Routing for Wireless Sensor Network. Journal of Communications. 10(1). 24–32. 8 indexed citations

15.

Shao, Xing, Ruchuan Wang, Haiping Huang, & Lijuan Sun. (2015). Load Balanced Coding Aware Multipath Routing for Wireless Mesh Networks. Chinese Journal of Electronics. 24(1). 8–12. 9 indexed citations

16.

Shao, Xing, et al.. (2013). Network coding based Energy Efficient Multicast Routing for wireless sensor network. 9. 293–296. 2 indexed citations

17.

Shao, Xing. (2012). Research on performance of mobile agent-based satellite network routing. Computer Engineering and Applications Journal. 1 indexed citations

18.

Shao, Xing, et al.. (2012). Genetic Algorithm Based Coding Aware Routing for Wireless Mesh Networks. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 4(5). 235–243. 2 indexed citations

19.

Shao, Xing & Ruchuan Wang. (2011). Review of Network Coding based Routing Algorithm for Wireless Mesh Networks. Journal of Convergence Information Technology. 6(12). 146–154. 2 indexed citations

20.

Shao, Xing, et al.. (2011). Agent Based Coding Aware Multi-path Routing for Wireless Mesh Networks. International Journal of Advancements in Computing Technology. 3(8). 340–347. 1 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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