Qi Wang

4.2k total citations
245 papers, 2.7k citations indexed

About

Qi Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Qi Wang has authored 245 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Networks and Communications, 83 papers in Computer Vision and Pattern Recognition and 67 papers in Electrical and Electronic Engineering. Recurrent topics in Qi Wang's work include Software-Defined Networks and 5G (49 papers), Video Coding and Compression Technologies (39 papers) and IoT and Edge/Fog Computing (36 papers). Qi Wang is often cited by papers focused on Software-Defined Networks and 5G (49 papers), Video Coding and Compression Technologies (39 papers) and IoT and Edge/Fog Computing (36 papers). Qi Wang collaborates with scholars based in United Kingdom, China and Spain. Qi Wang's co-authors include José M. Alcaraz Calero, James Nightingale, Christos Grecos, Pablo Salvá-García, Ignacio Martinez‐Alpiste, Jienan Chen, Siyu Chen, Bin Cao, Jianhao Hu and Enrique Chirivella‐Perez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Qi Wang

227 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Wang United Kingdom 26 1.3k 817 775 440 399 245 2.7k
Li Erran Li United States 28 2.0k 1.6× 1.0k 1.2× 1.3k 1.6× 334 0.8× 220 0.6× 63 3.5k
A. Hopper United Kingdom 19 1.6k 1.2× 1.1k 1.3× 1.7k 2.2× 337 0.8× 403 1.0× 54 3.7k
Chenren Xu China 27 950 0.7× 462 0.6× 1.6k 2.1× 309 0.7× 536 1.3× 115 2.8k
Hermann Hellwagner Austria 31 1.6k 1.2× 1.7k 2.0× 389 0.5× 602 1.4× 696 1.7× 233 3.3k
Panlong Yang China 32 1.2k 0.9× 545 0.7× 2.0k 2.6× 273 0.6× 490 1.2× 213 3.3k
Nhu‐Ngoc Dao South Korea 25 1.2k 1.0× 276 0.3× 805 1.0× 611 1.4× 141 0.4× 114 2.1k
Abdulla Al‐Ali Qatar 22 1.1k 0.8× 488 0.6× 519 0.7× 583 1.3× 396 1.0× 74 2.5k
Andy Hopper United Kingdom 14 2.0k 1.5× 1.4k 1.8× 2.0k 2.6× 428 1.0× 381 1.0× 41 4.0k
Marilyn Wolf United States 33 1.9k 1.4× 1.2k 1.4× 1.2k 1.6× 157 0.4× 447 1.1× 234 4.6k
José M. Alcaraz Calero United Kingdom 25 1.2k 0.9× 356 0.4× 523 0.7× 202 0.5× 188 0.5× 197 2.4k

Countries citing papers authored by Qi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Wang. A scholar is included among the top collaborators of Qi Wang 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 Qi Wang. Qi Wang 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.
Calero, José M. Alcaraz, et al.. (2025). Design, Implementation and Validation of a Level 2 Automated Driving Vehicle Reference Architecture. Expert Systems. 42(6).
2.
Wang, Qi, et al.. (2025). Unimodal and Multimodal Static Facial Expression Recognition for Virtual Reality Users with EmoHeVRDB. The UWS Academic Portal (University of the West of Scotland). 252–256. 1 indexed citations
3.
Wang, Qi, Zhiwen Pan, & Nan Liu. (2024). An ensemble and cost-sensitive learning-based root cause diagnosis scheme for wireless networks with spatially imbalanced user data distribution. Science China Information Sciences. 67(7). 2 indexed citations
4.
Zhang, Yanbo, et al.. (2024). Investigation and application of data balancing and combined discriminant model in rock burst severity prediction. Scientific Reports. 14(1). 29657–29657. 3 indexed citations
5.
Calero, José M. Alcaraz, et al.. (2024). Handling Imbalanced 5G and Beyond Network Tabular Data Using Conditional Generative Models. The UWS Academic Portal (University of the West of Scotland).
6.
Calero, José M. Alcaraz, et al.. (2024). ServiceNet: resource-efficient architecture for topology discovery in large-scale multi-tenant clouds. Cluster Computing. 27(7). 8965–8982. 1 indexed citations
7.
Bernabé, Jorge Bernal, et al.. (2024). Network slicing as 6G security mechanism to mitigate cyber-attacks: the RIGOUROUS approach. The UWS Academic Portal (University of the West of Scotland). 387–392. 2 indexed citations
8.
Martinez‐Alpiste, Ignacio, et al.. (2024). Machine learning-based understanding of aquatic animal behaviour in high-turbidity waters. Expert Systems with Applications. 255. 124804–124804. 4 indexed citations
9.
Xue, Jianbin, et al.. (2023). A security optimization scheme for data security transmission in UAV-assisted edge networks based on federal learning. Ad Hoc Networks. 150. 103277–103277. 8 indexed citations
10.
11.
Wang, Qi, et al.. (2022). Distributed dual-layer autonomous closed loops for self-protection of 5G/6G IoT networks from distributed denial of service attacks. Computer Networks. 222. 109526–109526. 20 indexed citations
13.
Chen, Jienan, et al.. (2020). An intelligent task offloading algorithm (iTOA) for UAV edge computing network. Digital Communications and Networks. 6(4). 433–443. 52 indexed citations
14.
Chen, Jienan, Siyu Chen, Qi Wang, et al.. (2019). iRAF: A Deep Reinforcement Learning Approach for Collaborative Mobile Edge Computing IoT Networks. IEEE Internet of Things Journal. 6(4). 7011–7024. 176 indexed citations
15.
Martinez‐Alpiste, Ignacio, Pablo Casaseca‐de‐la‐Higuera, José M. Alcaraz Calero, Christos Grecos, & Qi Wang. (2019). Smartphone‐based object recognition with embedded machine learning intelligence for unmanned aerial vehicles. Journal of Field Robotics. 37(3). 404–420. 16 indexed citations
16.
Gouvas, Panagiotis, et al.. (2019). 5G Smart City Vertical Slice. Integrated Network Management. 13–19. 4 indexed citations
17.
Santos, José, Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, et al.. (2016). SELFNET Framework self‐healing capabilities for 5G mobile networks. Transactions on Emerging Telecommunications Technologies. 27(9). 1225–1232. 18 indexed citations
18.
Wang, Qi, et al.. (2014). Out-of-Order Transmission for In-Order Arrival Scheduling for Multipath TCP. 749–752. 74 indexed citations
19.
Tang, Zhiyong, Qi Wang, Ji Zhang, et al.. (2014). Prediction and measurement of the electromagnetic environment of high-power medium-wave and short-wave broadcast antennas in far field. Radiation Protection Dosimetry. 162(4). 478–486. 1 indexed citations
20.
Wang, Qi. (2012). Approach for image retrieval based on hybrid features kernel. Computer Engineering and Applications Journal. 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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