Chunrong Wu

491 total citations
11 papers, 323 citations indexed

About

Chunrong Wu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Chunrong Wu has authored 11 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Chunrong Wu's work include IoT and Edge/Fog Computing (6 papers), Age of Information Optimization (5 papers) and IoT Networks and Protocols (3 papers). Chunrong Wu is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Age of Information Optimization (5 papers) and IoT Networks and Protocols (3 papers). Chunrong Wu collaborates with scholars based in China, Australia and Japan. Chunrong Wu's co-authors include Yunni Xia, Qinglan Peng, Jia Lee, Shanchen Pang, Xin Luo, Yong Ma, Kenji Leibnitz, Wanbo Zheng, Feng Zeng and Peng Chen and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Knowledge-Based Systems.

In The Last Decade

Chunrong Wu

11 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chunrong Wu China	10	225	112	64	63	61	11	323
Qinglan Peng China	10	268 1.2×	148 1.3×	48 0.8×	59 0.9×	53 0.9×	19	337
Yuuichi Teranishi Japan	10	254 1.1×	88 0.8×	37 0.6×	50 0.8×	49 0.8×	95	345
Jinglong Zuo China	5	218 1.0×	160 1.4×	55 0.9×	50 0.8×	41 0.7×	16	311
Haolong Xiang China	10	143 0.6×	94 0.8×	117 1.8×	44 0.7×	41 0.7×	34	267
Ricardo Morla Portugal	10	245 1.1×	141 1.3×	127 2.0×	67 1.1×	93 1.5×	50	372
Yaodong Huang United States	12	334 1.5×	192 1.7×	72 1.1×	67 1.1×	35 0.6×	30	414
Panjun Sun China	7	161 0.7×	162 1.4×	165 2.6×	38 0.6×	29 0.5×	11	379
Tatsuro Takahashi Japan	7	282 1.3×	75 0.7×	23 0.4×	114 1.8×	44 0.7×	63	327
Andra Lutu Spain	13	324 1.4×	31 0.3×	100 1.6×	216 3.4×	84 1.4×	58	469
Henric Johnson Sweden	11	123 0.5×	86 0.8×	88 1.4×	47 0.7×	19 0.3×	37	273

Countries citing papers authored by Chunrong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chunrong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunrong Wu

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

All Works

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11 of 11 papers shown

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

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

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

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

Xia, Yunni, MengChu Zhou, Xin Luo, et al.. (2020). Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks. IEEE Transactions on Automation Science and Engineering. 18(3). 1012–1025. 18 indexed citations

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

Wu, Chunrong, et al.. (2019). Local Peaks-Based Clustering Algorithm in Symmetric Neighborhood Graph. IEEE Access. 8. 1600–1612. 3 indexed citations

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

Wu, Chunrong, Qinglan Peng, Yunni Xia, & Jia Lee. (2019). Mobility-Aware Tasks Offloading in Mobile Edge Computing Environment. 204–210. 17 indexed citations

10.

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

11.

Zhou, MengChu, et al.. (2018). Multi-Objective Optimization for Location Prediction of Mobile Devices in Sensor-Based Applications. IEEE Access. 6. 77123–77132. 33 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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