Qinglan Peng

540 total citations
19 papers, 337 citations indexed

About

Qinglan Peng is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Qinglan Peng has authored 19 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 6 papers in Information Systems and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Qinglan Peng's work include IoT and Edge/Fog Computing (13 papers), Age of Information Optimization (9 papers) and Cloud Computing and Resource Management (5 papers). Qinglan Peng is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Age of Information Optimization (9 papers) and Cloud Computing and Resource Management (5 papers). Qinglan Peng collaborates with scholars based in China, Czechia and Australia. Qinglan Peng's co-authors include Yunni Xia, Chunrong Wu, Jia Lee, Wanbo Zheng, Yong Ma, Shanchen Pang, Kenji Leibnitz, Peng Chen, Xin Luo and Hui Liu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Qinglan Peng

17 papers receiving 329 citations

Peers

Qinglan Peng
Qinglan Peng
Citations per year, relative to Qinglan Peng Qinglan Peng (= 1×) peers Chunrong Wu

Countries citing papers authored by Qinglan Peng

Since Specialization
Citations

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

Fields of papers citing papers by Qinglan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinglan Peng

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

All Works

19 of 19 papers shown
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.
Li, Si‐Qi, Weidong Li, Wanbo Zheng, et al.. (2025). Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios. Scientific Reports. 15(1). 16170–16170. 2 indexed citations
4.
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.
6.
Tian, Meng, et al.. (2023). Semantic Segmentation for Remote Sensing Image Using the Multigranularity Object-Based Markov Random Field With Blinking Coefficient. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–22. 5 indexed citations
7.
Wu, Chunrong, Qinglan Peng, Yunni Xia, Yong Jin, & Zhentao Hu. (2022). Towards cost-effective and robust AI microservice deployment in edge computing environments. Future Generation Computer Systems. 141. 129–142. 17 indexed citations
10.
Ma, Yong, et al.. (2022). A Mobility-Aware and Fault-Tolerant Service Offloading Method in Mobile Edge Computing. 67–72. 18 indexed citations
11.
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
12.
Wu, Chunrong, Qinglan Peng, Jia Lee, Kenji Leibnitz, & Yunni Xia. (2021). Effective hierarchical clustering based on structural similarities in nearest neighbor graphs. Knowledge-Based Systems. 228. 107295–107295. 49 indexed citations
13.
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
14.
Peng, Qinglan, Yunni Xia, Yan Wang, et al.. (2020). A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments. 294–301. 9 indexed citations
15.
Wu, Chunrong, et al.. (2019). Local Peaks-Based Clustering Algorithm in Symmetric Neighborhood Graph. IEEE Access. 8. 1600–1612. 3 indexed citations
16.
Zheng, Wanbo, et al.. (2019). A Workload-Aware VM Consolidation Method Based on Coalitional Game for Energy-Saving in Cloud. IEEE Access. 7. 80421–80430. 35 indexed citations
17.
18.
Wu, Chunrong, Qinglan Peng, Yunni Xia, & Jia Lee. (2019). Mobility-Aware Tasks Offloading in Mobile Edge Computing Environment. 204–210. 17 indexed citations
19.
Peng, Qinglan, Yunni Xia, Feng Zeng, et al.. (2019). Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing. 91–98. 88 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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