Guiling Wang

2.4k total citations · 1 hit paper
61 papers, 1.6k citations indexed

About

Guiling Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Guiling Wang has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 25 papers in Electrical and Electronic Engineering and 12 papers in Information Systems. Recurrent topics in Guiling Wang's work include Energy Efficient Wireless Sensor Networks (24 papers), Mobile Ad Hoc Networks (19 papers) and Energy Harvesting in Wireless Networks (10 papers). Guiling Wang is often cited by papers focused on Energy Efficient Wireless Sensor Networks (24 papers), Mobile Ad Hoc Networks (19 papers) and Energy Harvesting in Wireless Networks (10 papers). Guiling Wang collaborates with scholars based in United States, China and Japan. Guiling Wang's co-authors include Thomas La Porta, Guohong Cao, Piotr Berman, Qiang Tang, Yuan Lu, Wensheng Zhang, Zi Li, Wensheng Zhang, Guohong Cao and Tan Yan and has published in prestigious journals such as IEEE Access, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Guiling Wang

55 papers receiving 1.5k citations

Hit Papers

Movement-assisted sensor deployment 2005 2026 2012 2019 2005 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Movement-assisted sensor deployment
    2005 423 citations Guiling Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guiling Wang United States 17 1.1k 810 211 192 148 61 1.6k
Xuxun Liu China 27 1.4k 1.2× 874 1.1× 249 1.2× 238 1.2× 126 0.9× 64 1.8k
Chi Lin China 24 787 0.7× 1.0k 1.2× 170 0.8× 222 1.2× 94 0.6× 104 1.7k
Pedro José Marrón Germany 23 1.1k 1.0× 577 0.7× 107 0.5× 135 0.7× 336 2.3× 142 1.5k
Ming Ma United States 23 1.6k 1.5× 954 1.2× 109 0.5× 130 0.7× 145 1.0× 65 1.9k
Shuo Wang China 17 1.1k 1.0× 789 1.0× 300 1.4× 145 0.8× 138 0.9× 127 1.7k
Mohamed Eltoweissy United States 25 1.8k 1.6× 484 0.6× 297 1.4× 320 1.7× 177 1.2× 122 2.0k
Xianjun Deng China 24 648 0.6× 458 0.6× 139 0.7× 278 1.4× 128 0.9× 96 1.2k
Yong Xiao China 24 1.4k 1.3× 1.2k 1.5× 378 1.8× 355 1.8× 165 1.1× 94 2.2k
Rupak Kharel United Kingdom 22 658 0.6× 822 1.0× 175 0.8× 161 0.8× 128 0.9× 90 1.4k
Nadjib Badache Algeria 23 1.5k 1.4× 755 0.9× 117 0.6× 103 0.5× 143 1.0× 151 1.8k

Countries citing papers authored by Guiling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guiling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guiling Wang. A scholar is included among the top collaborators of Guiling 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 Guiling Wang. Guiling 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.
Wang, Baowei, et al.. (2025). MCFN: Multi-scale Crossover Feed-forward Network for high performance watermarking. Neurocomputing. 622. 129282–129282. 1 indexed citations
2.
Wang, Guiling, et al.. (2025). RAGIC: Risk-Aware Generative Framework for Stock Interval Construction. IEEE Transactions on Knowledge and Data Engineering. 37(4). 2085–2096. 1 indexed citations
3.
Li, Tao, et al.. (2024). Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices. 2009–2018. 5 indexed citations
4.
5.
Wang, Baowei, et al.. (2023). Adaptor: Improving the Robustness and Imperceptibility of Watermarking by the Adaptive Strength Factor. IEEE Transactions on Circuits and Systems for Video Technology. 33(11). 6260–6272. 30 indexed citations
6.
Lu, Ye, et al.. (2023). DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice‐based system. Software Practice and Experience. 54(10). 2102–2126. 13 indexed citations
7.
Wei, Hua, et al.. (2023). SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14801–14810. 30 indexed citations
8.
9.
Wang, Guiling, et al.. (2023). Deep learning model with sentiment score and weekend effect in stock price prediction. SN Business & Economics. 3(7). 2 indexed citations
10.
Wang, Guiling, et al.. (2022). High Resolution Solar Image Generation Using Generative Adversarial Networks. Annals of Data Science. 11(5). 1545–1561. 16 indexed citations
11.
Ouyang, Ye, et al.. (2015). CrowdMi: Scalable and Diagnosable Mobile Voice Quality Assessment Through Wireless Analytics. IEEE Internet of Things Journal. 2(4). 287–294. 7 indexed citations
12.
Yan, Tan, Wensheng Zhang, Guiling Wang, & Yujun Zhang. (2013). Access Points Planning in Urban Area for Data Dissemination to Drivers. IEEE Transactions on Vehicular Technology. 63(1). 390–402. 20 indexed citations
13.
Wang, Guiling, et al.. (2013). Ivy: Interest-based Data Delivery in VANET through Neighbor Caching. Journal of Cyber Security and Mobility. 2(2). 127–149. 2 indexed citations
14.
Tian, Jie, et al.. (2013). Detect smart intruders in sensor networks by creating network dynamics. Computer Networks. 62. 182–196. 12 indexed citations
15.
Yan, Tan & Guiling Wang. (2012). Roadside infrastructure planning for vehicle trajectory collection. 2. 1–5. 4 indexed citations
16.
Yan, Tan, Wensheng Zhang, & Guiling Wang. (2012). DOVE: Data dissemination to a fixed number of receivers in VANET. 272–280. 9 indexed citations
17.
Wang, Guiling, et al.. (2011). A distributed scheme for securing middle-tier multicast in hierarchical sensor networks. Ad Hoc & Sensor Wireless Networks. 11. 245–264. 2 indexed citations
18.
Zhang, Wensheng, et al.. (2010). Coverage properties of clustered wireless sensor networks. ACM Transactions on Sensor Networks. 7(2). 1–21. 12 indexed citations
19.
Wang, Guiling, et al.. (2009). Node Reclamation and Replacement for Long-lived Sensor Networks. 1–9. 13 indexed citations
20.
Porta, Tom La, Piotr Berman, & Guiling Wang. (2006). Dependable sensor networks. 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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