Zhixiu Yao

511 total citations · 1 hit paper
10 papers, 379 citations indexed

About

Zhixiu Yao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Zhixiu Yao has authored 10 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 3 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Zhixiu Yao's work include IoT and Edge/Fog Computing (9 papers), Age of Information Optimization (4 papers) and Caching and Content Delivery (3 papers). Zhixiu Yao is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Age of Information Optimization (4 papers) and Caching and Content Delivery (3 papers). Zhixiu Yao collaborates with scholars based in China and United States. Zhixiu Yao's co-authors include Shichao Xia, Yun Li, Shiwen Mao, Guangfu Wu and Guoyin Wang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Zhixiu Yao

9 papers receiving 371 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.

Online Distributed Offloading and Computing Resource Management With Energy Harvesting for Heterogeneous MEC-Enabled IoT

2021 221 citations Shichao Xia, Zhixiu Yao et al. IEEE Transactions on Wireless Communications profile →

Peers

Zhixiu Yao

CNC

EEE

AI

IS

CVPR

Haoli Zhu China

Sijing Duan China

Jinmei Shu China

Xiaoke Sun China

Hossam Afifi France

Omar Said Egypt

Tri Nguyen Dang South Korea

Yufei Cao China

Dmitri I. Arkhipov United States

Kai‐Wen Hu Taiwan

Haoli Zhu China

Zhixiu Yao

264 ×1.1

CNC

150 ×1.0

EEE

71 ×0.8

AI

61 ×0.9

IS

53 ×1.0

CVPR

Citations per year, relative to Zhixiu Yao Zhixiu Yao (= 1×) peers Haoli Zhu

Countries citing papers authored by Zhixiu Yao

Since Specialization

Citations

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

Fields of papers citing papers by Zhixiu Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixiu Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixiu Yao. A scholar is included among the top collaborators of Zhixiu Yao 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 Zhixiu Yao. Zhixiu Yao 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:

10 of 10 papers shown

1.

Xia, Shichao, et al.. (2024). Personalized Computation Offloading and Service Caching for Mobile Edge Computing in Heterogeneous Networks. 1467–1472.

2.

Yao, Zhixiu, et al.. (2023). Cooperative Task Offloading and Service Caching for Digital Twin Edge Networks: A Graph Attention Multi-Agent Reinforcement Learning Approach. IEEE Journal on Selected Areas in Communications. 41(11). 3401–3413. 45 indexed citations

3.

Yao, Zhixiu, et al.. (2023). Transfer Learning With Spatial–Temporal Graph Convolutional Network for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems. 24(8). 8592–8605. 33 indexed citations

4.

Xia, Shichao, et al.. (2023). Distributed Computing and Networking Coordination for Task Offloading Under Uncertainties. IEEE Transactions on Mobile Computing. 23(5). 5280–5294. 11 indexed citations

5.

Xia, Shichao, et al.. (2022). Distributed Offloading for Cooperative Intelligent Transportation Under Heterogeneous Networks. IEEE Transactions on Intelligent Transportation Systems. 23(9). 16701–16714. 48 indexed citations

6.

Yao, Zhixiu, et al.. (2022). Attention Cooperative Task Offloading and Service Caching in Edge Computing. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 5189–5194. 6 indexed citations

7.

Xia, Shichao, Zhixiu Yao, Yun Li, & Shiwen Mao. (2021). Online Distributed Offloading and Computing Resource Management With Energy Harvesting for Heterogeneous MEC-Enabled IoT. IEEE Transactions on Wireless Communications. 20(10). 6743–6757. 221 indexed citations breakdown →

8.

Xia, Shichao, et al.. (2020). A Distributed Heterogeneous Task Offloading Methodology for Mobile Edge Computing. 电子与信息学报. 42(12). 2891–2898. 1 indexed citations

9.

Xia, Shichao, et al.. (2020). Dynamic Task Offloading and Resource Allocation for Heterogeneous MEC-enable IoT. 847–852. 9 indexed citations

10.

Xia, Shichao, Zhixiu Yao, & Yun Li. (2020). A Distributed Stochastic Task Offloading Methodology for IoT on e-Health. 1–6. 5 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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