Mengxia Zhu

593 total citations
44 papers, 365 citations indexed

About

Mengxia Zhu is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Mengxia Zhu has authored 44 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 14 papers in Information Systems and 8 papers in Information Systems and Management. Recurrent topics in Mengxia Zhu's work include Distributed and Parallel Computing Systems (17 papers), Cloud Computing and Resource Management (10 papers) and Scientific Computing and Data Management (8 papers). Mengxia Zhu is often cited by papers focused on Distributed and Parallel Computing Systems (17 papers), Cloud Computing and Resource Management (10 papers) and Scientific Computing and Data Management (8 papers). Mengxia Zhu collaborates with scholars based in United States, China and Iraq. Mengxia Zhu's co-authors include Qishi Wu, Nageswara S. V. Rao, Malathi Veeraraghavan, Xuan Zheng, Richard R. Brooks, Chase Q. Wu, Yang Zhao, S. S. Iyengar, Song Ding and Yi Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and BMC Genomics.

In The Last Decade

Mengxia Zhu

40 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengxia Zhu United States	11	287	119	71	59	52	44	365
Mohsine Eleuldj Morocco	5	304 1.1×	242 2.0×	34 0.5×	30 0.5×	64 1.2×	15	404
Omar Sefraoui Morocco	3	299 1.0×	230 1.9×	32 0.5×	30 0.5×	50 1.0×	5	378
Xiaohui Wei China	11	231 0.8×	110 0.9×	36 0.5×	48 0.8×	26 0.5×	56	299
Marcelo Veiga Neves Brazil	6	372 1.3×	332 2.8×	32 0.5×	23 0.4×	40 0.8×	9	454
Peter Tröger Germany	9	151 0.5×	102 0.9×	28 0.4×	22 0.4×	38 0.7×	41	245
Ilias Mavridis Greece	8	202 0.7×	174 1.5×	26 0.4×	17 0.3×	65 1.3×	9	276
Dong Dai United States	11	327 1.1×	181 1.5×	30 0.4×	60 1.0×	85 1.6×	69	429
Roberto R. Expósito Spain	12	254 0.9×	213 1.8×	14 0.2×	41 0.7×	83 1.6×	35	407
Frank van Lingen United States	9	213 0.7×	63 0.5×	51 0.7×	36 0.6×	23 0.4×	22	253
Gabriela Ciocarlie United States	10	249 0.9×	108 0.9×	50 0.7×	27 0.5×	132 2.5×	27	354

Countries citing papers authored by Mengxia Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Mengxia Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengxia Zhu

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

All Works

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20 of 20 papers shown

Su, Hang, et al.. (2022). Deep Knowledge Tracing with Learning Curves. 282–291. 2 indexed citations

Zhu, Mengxia, et al.. (2021). Analysis and Application of Wind Speed Interpolation in Wind Farm Based on BP Neural Network Method. SHILAP Revista de lepidopterología. 8(1). 51–55.

Khaleel, Mustafa Ibrahim & Mengxia Zhu. (2018). Efficient and Fair Bandwidth Scheduling in Cloud Environments. SHILAP Revista de lepidopterología. 6(2). 20–20. 1 indexed citations

Hou, Wen‐Chi, et al.. (2013). CS2. 469–480. 23 indexed citations

Brown, Patrick, et al.. (2012). A Workflow-Based Network Advisor for Data Movement with End-to-End Performance Optimization. 73–81. 1 indexed citations

Wu, Qishi, Mengxia Zhu, Yi Gu, et al.. (2012). A Distributed Workflow Management System with Case Study of Real-life Scientific Applications on Grids. Journal of Grid Computing. 10(3). 367–393. 9 indexed citations

Wu, Qishi, et al.. (2012). Modeling and optimizing transport-support workflows in high-performance networks. 43. 384–391. 2 indexed citations

Chabalengula, Vivien Mweene, et al.. (2011). Science Teachers Familiarity of and Interest in Computer Simulations, Animations, Visualization, Modeling and Virtual reality. Society for Information Technology & Teacher Education International Conference. 2011(1). 2075–2077. 1 indexed citations

Mumba, Frackson, et al.. (2011). An Interactive Simulation based Virtual Classroom System using Cloud Computing Technology. Society for Information Technology & Teacher Education International Conference. 2011(1). 2171–2176. 1 indexed citations

10.

Zhu, Mengxia, et al.. (2009). Parallel Sequence Alignments Using Graphics Processing Unit.. 96–102. 1 indexed citations

11.

Wu, Qishi, et al.. (2009). Advance Bandwidth Scheduling Algorithms in Dedicated Networks. International Journal of Distributed Sensor Networks. 5(1). 3–3. 2 indexed citations

12.

Yang, Yunfeng, Mengxia Zhu, Liyou Wu, & Jizhong Zhou. (2008). Assessment of data processing to improve reliability of microarray experiments using genomic DNA reference. BMC Genomics. 9(Suppl 2). S5–S5. 12 indexed citations

13.

Gu, Yi, Qishi Wu, Mengxia Zhu, & Nageswara S. V. Rao. (2008). Efficient pipeline configuration in distributed heterogeneous computing environments. 432–432. 2 indexed citations

14.

Wu, Qishi, Mengxia Zhu, & Nageswara S. V. Rao. (2008). Integration of sensing and computing in an intelligent decision support system for homeland security defense. Pervasive and Mobile Computing. 5(2). 182–200. 11 indexed citations

15.

Zhu, Mengxia & Qishi Wu. (2008). Transcription network construction for large-scale microarray datasets using a high-performance computing approach. BMC Genomics. 9(Suppl 1). S5–S5. 13 indexed citations

16.

Zhu, Mengxia, et al.. (2007). Optimal pipeline decomposition and adaptive network mapping to support distributed remote visualization. Journal of Parallel and Distributed Computing. 67(8). 947–956. 5 indexed citations

17.

Zheng, Xuan, Malathi Veeraraghavan, Nageswara S. V. Rao, Qishi Wu, & Mengxia Zhu. (2005). CHEETAH: circuit-switched high-speed end-to-end transport architecture testbed. IEEE Communications Magazine. 43(8). S11–S17. 77 indexed citations

18.

Zhu, Mengxia, Qishi Wu, Nageswara S. V. Rao, & S. S. Iyengar. (2005). On optimal mapping of visualization pipeline onto linear arrangement of network nodes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5669. 1–1. 3 indexed citations

19.

Rao, Nageswara S. V., W.R. Wing, Mengxia Zhu, et al.. (2005). Networking for large-scale science: infrastructure, provisioning, transport and application mapping. Journal of Physics Conference Series. 16. 541–545. 9 indexed citations

20.

Wu, Qishi, Nageswara S. V. Rao, Richard R. Brooks, Mengxia Zhu, & S. S. Iyengar. (2004). Computational and networking problems in distributed sensor networks. 25-1–25-17. 2 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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