Qing Wei

728 total citations
23 papers, 344 citations indexed

About

Qing Wei is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Qing Wei has authored 23 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 13 papers in Computer Networks and Communications and 4 papers in Control and Systems Engineering. Recurrent topics in Qing Wei's work include Software-Defined Networks and 5G (8 papers), Advanced MIMO Systems Optimization (7 papers) and Caching and Content Delivery (6 papers). Qing Wei is often cited by papers focused on Software-Defined Networks and 5G (8 papers), Advanced MIMO Systems Optimization (7 papers) and Caching and Content Delivery (6 papers). Qing Wei collaborates with scholars based in China, Germany and United States. Qing Wei's co-authors include Li Wang, Hailong Yin, Xueli An, Yifan Xie, Zhi Ding, Zhiyong Feng, Sergio Beker, Malla Reddy Sama, Christian Mannweiler and Ömer Bulakçı and has published in prestigious journals such as Water Research, Bioresource Technology and IEEE Access.

In The Last Decade

Qing Wei

22 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Wei China	10	189	182	43	31	29	23	344
Elias Eze United Kingdom	10	317 1.7×	253 1.4×	52 1.2×	45 1.5×	33 1.1×	17	450
Shagufta Henna Ireland	10	130 0.7×	175 1.0×	44 1.0×	38 1.2×	9 0.3×	41	321
Hefei Hu China	10	93 0.5×	155 0.9×	81 1.9×	57 1.8×	28 1.0×	46	330
Nitin Rakesh India	10	73 0.4×	70 0.4×	21 0.5×	21 0.7×	7 0.2×	52	245
Supratim Auddy India	8	57 0.3×	80 0.4×	22 0.5×	11 0.4×	13 0.4×	8	237
Haider A. H. Alobaidy Malaysia	8	154 0.8×	93 0.5×	25 0.6×	13 0.4×	10 0.3×	17	270
Anthony Faustine Ireland	8	309 1.6×	34 0.2×	53 1.2×	39 1.3×	109 3.8×	12	404
Atiq Ur Rahman Pakistan	11	234 1.2×	235 1.3×	75 1.7×	29 0.9×	42 1.4×	25	415
Avinash Mungur Mauritius	6	106 0.6×	190 1.0×	46 1.1×	16 0.5×	2 0.1×	16	301

Countries citing papers authored by Qing Wei

Since Specialization

Citations

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

Fields of papers citing papers by Qing Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Wei

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

20 of 20 papers shown

Wei, Qing, Zuxin Xu, & Hailong Yin. (2025). Enhanced nitrogen prediction and mechanistic process analysis in high-salinity wastewater treatment using interpretable machine learning approach. Bioresource Technology. 426. 132393–132393. 9 indexed citations

Wei, Qing, et al.. (2025). Interpretable modeling for effluent organic load control and optimization in wastewater treatment. Bioresource Technology. 439. 133327–133327.

Wei, Qing, et al.. (2025). Multi-UAV-Enabled Energy-Efficient Data Delivery for Low-Altitude Economy: Joint Coded Caching, User Grouping, and UAV Deployment. IEEE Internet of Things Journal. 12(14). 27519–27532. 1 indexed citations

Wei, Qing, et al.. (2024). Energy-Efficient Caching and User Selection for Resource-Limited SAGINs in Emergency Communications. IEEE Transactions on Communications. 73(6). 4121–4136. 8 indexed citations

Yin, Hailong, Yongqi Chen, Jinglin Zhou, et al.. (2024). A probabilistic deep learning approach to enhance the prediction of wastewater treatment plant effluent quality under shocking load events. Water Research X. 26. 100291–100291. 9 indexed citations

Xie, Yifan, et al.. (2023). A hybrid deep learning approach to improve real-time effluent quality prediction in wastewater treatment plant. Water Research. 250. 121092–121092. 53 indexed citations

Wei, Qing, et al.. (2023). Optimizing Energy Consumption in UAV-Assisted Data Transmission Through User-Aware Caching. 11. 1–6. 2 indexed citations

Gramaglia, Marco, et al.. (2022). A unified service‐based capability exposure framework for closed‐loop network automation. Transactions on Emerging Telecommunications Technologies. 33(11). 6 indexed citations

Wei, Qing, Li Wang, Lianming Xu, Zeyu Tian, & Zhu Han. (2022). Hierarchical Coded Caching for Multiscale Content Sharing in Heterogeneous Vehicular Networks. IEEE Transactions on Vehicular Technology. 71(6). 5770–5786. 6 indexed citations

10.

Shariat, Mehrdad, Ömer Bulakçı, Antonio De Domenico, et al.. (2019). A Flexible Network Architecture for 5G Systems. Wireless Communications and Mobile Computing. 2019. 1–19. 22 indexed citations

11.

Pateromichelakis, Emmanouil, Christian Mannweiler, Paul Arnold, et al.. (2019). End-to-End Data Analytics Framework for 5G Architecture. IEEE Access. 7. 40295–40312. 48 indexed citations

12.

Wei, Qing, Li Wang, Zhiyong Feng, & Zhi Ding. (2018). Wireless Resource Management in LTE-U Driven Heterogeneous V2X Communication Networks. IEEE Transactions on Vehicular Technology. 67(8). 7508–7522. 48 indexed citations

13.

Wei, Qing, Li Wang, Zhiyong Feng, & Zhi Ding. (2018). Cooperative coexistence and resource allocation for V2X communications in LTE-unlicensed. 1–6. 11 indexed citations

14.

Bulakçı, Ömer, Qing Wei, Mehrdad Shariat, et al.. (2018). Identifying 5G System Enhancements: Enabling Technologies for Multi-Service Networks. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1–5. 1 indexed citations

15.

Wei, Qing, et al.. (2018). Matching Theory Based Spectrum Sharing for V2X Communications in Platoon Scenarios. 326–331. 1 indexed citations

16.

Trivisonno, Riccardo, Xueli An, & Qing Wei. (2017). Network slicing for 5G systems: A review from an architecture and standardization perspective. 36–41. 11 indexed citations

17.

Wei, Qing, Wanlu Sun, Bo Bai, et al.. (2017). Resource allocation for V2X communications: A local search based 3D matching approach. Chalmers Research (Chalmers University of Technology). 1–6. 40 indexed citations

18.

Wei, Qing, et al.. (2016). Dynamic Flow Rules in Software Defined Networks. ab 1506 2876. 25–30. 5 indexed citations

19.

Sama, Malla Reddy, Xueli An, Qing Wei, & Sergio Beker. (2016). Reshaping the mobile core network via function decomposition and network slicing for the 5G Era. 48 indexed citations

20.

Lung, Chung–Horng, et al.. (2008). A Web Services-Based Infrastructure for Traffic Monitoring Using ZigBee. 562–567. 3 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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