Shu Yang

2.4k total citations
80 papers, 1.6k citations indexed

About

Shu Yang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Shu Yang has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 17 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Shu Yang's work include Software-Defined Networks and 5G (14 papers), IoT and Edge/Fog Computing (12 papers) and Cloud Computing and Resource Management (8 papers). Shu Yang is often cited by papers focused on Software-Defined Networks and 5G (14 papers), IoT and Edge/Fog Computing (12 papers) and Cloud Computing and Resource Management (8 papers). Shu Yang collaborates with scholars based in China, Taiwan and Hong Kong. Shu Yang's co-authors include Laizhong Cui, Zhong Ming, Ziteng Chen, Haiyan Song, Nan Lu, Zhongxing Ming, Fei Chen, Jing Qin, Mingwei Xu and Jae H. Kim and has published in prestigious journals such as Applied Catalysis B: Environmental, Computers in Human Behavior and Journal of the American Ceramic Society.

In The Last Decade

Shu Yang

76 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Yang China 22 629 425 269 266 249 80 1.6k
Simon Knight Australia 21 1.2k 1.9× 408 1.0× 479 1.8× 642 2.4× 540 2.2× 102 3.0k
Shyan‐Ming Yuan Taiwan 27 642 1.0× 972 2.3× 128 0.5× 393 1.5× 718 2.9× 259 2.8k
Norjihan Abdul Ghani Malaysia 14 240 0.4× 589 1.4× 73 0.3× 208 0.8× 145 0.6× 55 1.2k
Chad C. Tossell United States 17 208 0.3× 159 0.4× 239 0.9× 217 0.8× 122 0.5× 47 1.2k
Li Jin China 24 124 0.2× 152 0.4× 160 0.6× 110 0.4× 764 3.1× 124 2.3k
Gary Marsden South Africa 25 208 0.3× 1.0k 2.4× 258 1.0× 100 0.4× 343 1.4× 114 2.5k
Matthias Böhmer Germany 18 213 0.3× 304 0.7× 344 1.3× 83 0.3× 360 1.4× 69 1.5k
Alex Koohang United States 26 214 0.3× 488 1.1× 90 0.3× 196 0.7× 738 3.0× 90 2.2k
Yen-Ting Lin Taiwan 20 109 0.2× 682 1.6× 74 0.3× 204 0.8× 645 2.6× 68 1.6k
Ahmad Rahmati Iran 22 599 1.0× 206 0.5× 732 2.7× 109 0.4× 126 0.5× 77 1.9k

Countries citing papers authored by Shu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yang. A scholar is included among the top collaborators of Shu Yang 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 Shu Yang. Shu Yang 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.
2.
Yang, Shu, et al.. (2023). A Web 3.0-Based Trading Platform for Data Annotation Service With Optimal Pricing. IEEE Transactions on Network Science and Engineering. 11(5). 4032–4044. 4 indexed citations
3.
Huang, Chiao Ling, et al.. (2023). What you think is a joke is actually cyberbullying: The effects of ethical dissonance, event judgment and humor style on cyberbullying behavior. Computers in Human Behavior. 142. 107670–107670. 12 indexed citations
4.
Ming, Zhongxing, et al.. (2022). FAITH: A Fast Blockchain-Assisted Edge Computing Platform for Healthcare Applications. IEEE Transactions on Industrial Informatics. 18(12). 9217–9226. 13 indexed citations
5.
Ming, Zhongxing, et al.. (2021). Edge-Based Video Surveillance With Graph-Assisted Reinforcement Learning in Smart Construction. IEEE Internet of Things Journal. 9(12). 9249–9265. 17 indexed citations
6.
Cui, Laizhong, Ziteng Chen, Shu Yang, Ruiyu Chen, & Zhong Ming. (2021). A Secure and Decentralized DLaaS Platform for Edge Resource Scheduling Against Adversarial Attacks. IEEE Transactions on Computers. 73(3). 631–644. 11 indexed citations
7.
Cui, Laizhong, et al.. (2020). TCLiVi: Transmission Control in Live Video Streaming Based on Deep Reinforcement Learning. IEEE Transactions on Multimedia. 23. 651–663. 34 indexed citations
8.
Cui, Laizhong, Ziteng Chen, Shu Yang, et al.. (2020). A Blockchain-Based Containerized Edge Computing Platform for the Internet of Vehicles. IEEE Internet of Things Journal. 8(4). 2395–2408. 47 indexed citations
9.
Cui, Laizhong, et al.. (2020). CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing. IEEE Internet of Things Journal. 9(16). 14151–14161. 108 indexed citations
10.
Yang, Shu, et al.. (2020). An Efficient Approach to Robust SDN Controller Placement for Security. IEEE Transactions on Network and Service Management. 17(3). 1669–1682. 40 indexed citations
11.
Yang, Shu, et al.. (2020). EBI-PAI: Toward an Efficient Edge-Based IoT Platform for Artificial Intelligence. IEEE Internet of Things Journal. 8(12). 9580–9593. 10 indexed citations
12.
Yang, Shu, Laizhong Cui, Qi Li, et al.. (2019). FISE: A Forwarding Table Structure for Enterprise Networks. IEEE Transactions on Network and Service Management. 17(2). 1181–1196. 3 indexed citations
13.
Cui, Laizhong, Shu Yang, Ziteng Chen, et al.. (2019). A Decentralized and Trusted Edge Computing Platform for Internet of Things. IEEE Internet of Things Journal. 7(5). 3910–3922. 54 indexed citations
14.
Cui, Laizhong, Shu Yang, Ziteng Chen, et al.. (2019). An Efficient and Compacted DAG-Based Blockchain Protocol for Industrial Internet of Things. IEEE Transactions on Industrial Informatics. 16(6). 4134–4145. 79 indexed citations
15.
Cui, Laizhong, Shu Yang, Fei Chen, et al.. (2018). A survey on application of machine learning for Internet of Things. International Journal of Machine Learning and Cybernetics. 9(8). 1399–1417. 185 indexed citations
16.
Cui, Laizhong, Chong Xu, Shu Yang, et al.. (2018). Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things. IEEE Internet of Things Journal. 6(3). 4791–4803. 140 indexed citations
17.
Yang, Shu, et al.. (2013). Exploring the roles of Google.doc and peer e-tutors in English writing. English Teaching-practice and Critique. 12(1). 79–90. 22 indexed citations
18.
Shein, Paichi Pat, et al.. (2012). Exploring Personal EFL Teaching Metaphors in Pre-Service Teacher Education.. English Teaching-practice and Critique. 11(1). 183–199. 30 indexed citations
19.
Yang, Shu, et al.. (2011). Exploring Students' Perceptions of Integrating Wiki Technology and Peer Feedback into English Writing Courses. English Teaching-practice and Critique. 10(2). 88–103. 111 indexed citations
20.
Yang, Shu. (2004). A case study of technology-enhanced language learning. EdMedia: World Conference on Educational Media and Technology. 2004(1). 4863–4868. 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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