Yunni Xia

5.3k total citations · 4 hit papers
135 papers, 3.9k citations indexed

About

Yunni Xia is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yunni Xia has authored 135 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Information Systems, 78 papers in Computer Networks and Communications and 37 papers in Artificial Intelligence. Recurrent topics in Yunni Xia's work include IoT and Edge/Fog Computing (43 papers), Cloud Computing and Resource Management (37 papers) and Service-Oriented Architecture and Web Services (29 papers). Yunni Xia is often cited by papers focused on IoT and Edge/Fog Computing (43 papers), Cloud Computing and Resource Management (37 papers) and Service-Oriented Architecture and Web Services (29 papers). Yunni Xia collaborates with scholars based in China, United States and Saudi Arabia. Yunni Xia's co-authors include Qingsheng Zhu, Xin Luo, MengChu Zhou, Shuai Li, Zhu‐Hong You, Quanwang Wu, Hareton Leung, Peng Chen, Wanbo Zheng and Fuyuki Ishikawa and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Yunni Xia

119 papers receiving 3.8k citations

Hit Papers

An Efficient Non-Negative Matrix-Factorization-Based Appr... 2014 2026 2018 2022 2014 2015 2019 2015 100 200 300 400
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.

  1. An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems
    2014 466 citations MengChu Zhou, Yunni Xia et al. profile →
  2. A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method
    2015 254 citations MengChu Zhou, Yunni Xia et al. profile →
  3. Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning
    2019 221 citations Yuandou Wang, Wanbo Zheng et al. IEEE Access profile →
  4. Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models
    2015 211 citations MengChu Zhou, Yunni Xia et al. profile →

Peers

Yunni Xia
Qingsheng Zhu China
Shivaram Venkataraman United States
Ankur Dave United States
Xun Yi Australia
Gang Chen China
Tathagata Das United States
Zhiguang Qin China
Qiang He China
Reynold Xin United States
Qianmu Li China
Qingsheng Zhu China
Yunni Xia
Citations per year, relative to Yunni Xia Yunni Xia (= 1×) peers Qingsheng Zhu

Countries citing papers authored by Yunni Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yunni Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunni Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Yunni Xia. A scholar is included among the top collaborators of Yunni Xia 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 Yunni Xia. Yunni Xia 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.
Chen, Peng, Yunni Xia, MengChu Zhou, et al.. (2025). Content Caching for IoT Devices by Using Self-Feedback Adversarial Semi-Bandits Learning. IEEE Transactions on Automation Science and Engineering. 22. 20366–20379. 1 indexed citations
3.
Xia, Yunni, et al.. (2025). Fault-Tolerant Mobile Service Offloading in Mobile Edge Computing. IEEE Transactions on Automation Science and Engineering. 22. 17022–17033. 5 indexed citations
4.
Ji, Weixing, et al.. (2025). Automated Recommendation of Extracting Local Variable Refactorings. ACM Transactions on Software Engineering and Methodology. 34(8). 1–42. 2 indexed citations
5.
Tan, Tao, Hong Xie, Yunni Xia, Xiaoyu Shi, & Mingsheng Shang. (2024). Asynchronous SGD with stale gradient dynamic adjustment for deep learning training. Information Sciences. 681. 121220–121220.
6.
7.
Gu, Haoran, Yunni Xia, Hong Xie, Xiaoyu Shi, & Mingsheng Shang. (2023). Robust and efficient algorithms for conversational contextual bandit. Information Sciences. 657. 119993–119993. 3 indexed citations
8.
Li, Fan, et al.. (2023). Transportation of Service Enhancement Based on Virtualization Cloud Desktop. Electronics. 12(7). 1572–1572.
9.
Ma, Yong, Shiyun Shao, Yunni Xia, et al.. (2023). A Performance and Reliability-Guaranteed Predictive Approach to Service Migration Path Selection in Mobile Computing. IEEE Internet of Things Journal. 10(20). 17977–17987. 6 indexed citations
10.
Liu, Zhiquan, et al.. (2023). RPPM: A Reputation-Based and Privacy-Preserving Platoon Management Scheme in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems. 25(6). 6147–6160. 10 indexed citations
11.
Liu, Hui, et al.. (2023). An Automated Approach to Extracting Local Variables. 313–325. 4 indexed citations
12.
Xia, Yunni, et al.. (2023). A Novel Multi-Domain Adaptation-Based Method for Blast Furnace Anomaly Detection. International Journal of Web Services Research. 20(1). 1–14.
13.
Ma, Yong, Lei Wu, Yunni Xia, et al.. (2022). A novel fault-tolerant scheduling approach for collaborative workflows in an edge-IoT environment. Digital Communications and Networks. 8(6). 911–922. 17 indexed citations
14.
Peng, Qinglan, Chunrong Wu, Yunni Xia, et al.. (2021). DoSRA: A Decentralized Approach to Online Edge Task Scheduling and Resource Allocation. IEEE Internet of Things Journal. 9(6). 4677–4692. 38 indexed citations
15.
Wu, Chunrong, Qinglan Peng, Yunni Xia, et al.. (2020). Online user allocation in mobile edge computing environments:A decentralized reactive approach. Journal of Systems Architecture. 113. 101904–101904. 30 indexed citations
16.
Wang, Yuandou, Wanbo Zheng, Yunni Xia, et al.. (2019). Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning. IEEE Access. 7. 39974–39982. 221 indexed citations breakdown →
17.
Wu, Chunrong, Jia Lee, Teijiro Isokawa, Jun Yao, & Yunni Xia. (2019). Efficient Clustering Method Based on Density Peaks With Symmetric Neighborhood Relationship. IEEE Access. 7. 60684–60696. 21 indexed citations
18.
Wu, Chunrong, et al.. (2019). Local Peaks-Based Clustering Algorithm in Symmetric Neighborhood Graph. IEEE Access. 8. 1600–1612. 3 indexed citations
19.
Li, Weiling, et al.. (2018). Fluctuation-Aware and Predictive Workflow Scheduling in Cost-Effective Infrastructure-as-a-Service Clouds. IEEE Access. 6. 61488–61502. 74 indexed citations
20.
Xia, Yunni, et al.. (2015). 0-1 Linear Programming for CNEOST Survey Scheduling. Acta Astronomica Sinica. 56(4). 391–398. 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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