Guiping Wang

841 total citations
41 papers, 663 citations indexed

About

Guiping Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guiping Wang has authored 41 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guiping Wang's work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Structural Health Monitoring Techniques (5 papers). Guiping Wang is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Structural Health Monitoring Techniques (5 papers). Guiping Wang collaborates with scholars based in China, Saudi Arabia and Singapore. Guiping Wang's co-authors include Jianxi Yang, He Huang, Zeng Zeng, Likai Zhang, Shixin Jiang, Ren Li, Fei Yang, Yinli Jin, Li Li and Huifeng Wang and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Vehicular Technology.

In The Last Decade

Guiping Wang

39 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guiping Wang China	15	190	136	135	121	89	41	663
Thierry Rakotoarivelo Australia	12	137 0.7×	95 0.7×	99 0.7×	115 1.0×	219 2.5×	43	753
Yali Yuan China	13	131 0.7×	77 0.6×	174 1.3×	79 0.7×	246 2.8×	40	705
Arman Malekloo Türkiye	6	262 1.4×	54 0.4×	46 0.3×	59 0.5×	92 1.0×	6	665
Zhenyu Yin China	12	65 0.3×	80 0.6×	59 0.4×	94 0.8×	124 1.4×	97	484
Sifa Zheng China	13	54 0.3×	90 0.7×	60 0.4×	224 1.9×	45 0.5×	61	481
Zhong Yang China	11	132 0.7×	173 1.3×	61 0.5×	80 0.7×	54 0.6×	62	573
Qizhang Luo China	15	56 0.3×	107 0.8×	237 1.8×	94 0.8×	137 1.5×	24	825
Huadong Wu United States	11	67 0.4×	202 1.5×	170 1.3×	39 0.3×	149 1.7×	15	602
Hejun Wu China	12	212 1.1×	159 1.2×	82 0.6×	35 0.3×	319 3.6×	54	891
Yuanhao Xiong China	8	75 0.4×	57 0.4×	176 1.3×	90 0.7×	41 0.5×	10	572

Countries citing papers authored by Guiping Wang

Since Specialization

Citations

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

Fields of papers citing papers by Guiping Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guiping Wang. A scholar is included among the top collaborators of Guiping 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 Guiping Wang. Guiping Wang 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

Wang, Guiping, et al.. (2024). Fraud Detection Based on Graph Neural Network. 276–280. 1 indexed citations

Wang, Guiping, et al.. (2023). Cyclic Convolutional Neural Network Model Based on Artificial Intelligence. Applied Mathematics and Nonlinear Sciences. 8(2). 1961–1972. 1 indexed citations

Yang, Jianxi, Fei Yang, Yingxin Zhou, et al.. (2021). A data-driven structural damage detection framework based on parallel convolutional neural network and bidirectional gated recurrent unit. Information Sciences. 566. 103–117. 77 indexed citations

Yang, Jianxi, Fei Yang, Likai Zhang, et al.. (2021). Bridge health anomaly detection using deep support vector data description. Neurocomputing. 444. 170–178. 22 indexed citations

Feng, Li, et al.. (2020). Effect of powder particle size on microstructure and properties of low pressure cold sprayed high aluminium bronze coating. Materials Research Express. 7(2). 26524–26524. 8 indexed citations

Chen, Yi, et al.. (2020). Real-Time Vehicle Detection Framework Based on the Fusion of LiDAR and Camera. Electronics. 9(3). 451–451. 35 indexed citations

Luo, Zhongbao, et al.. (2020). Adaptive sliding mode control of robot based on fuzzy neural network. Journal of Ambient Intelligence and Humanized Computing. 11(12). 6235–6247. 19 indexed citations

Wang, Ping, et al.. (2019). Forecasting Traffic Volume at a Designated Cross-Section Location on a Freeway From Large-Regional Toll Collection Data. IEEE Access. 7. 9057–9070. 17 indexed citations

Wang, Yunfei, et al.. (2019). Lane Detection of Curving Road for Structural Highway With Straight-Curve Model on Vision. IEEE Transactions on Vehicular Technology. 68(6). 5321–5330. 56 indexed citations

10.

Wang, Guiping, Jianxi Yang, & Ren Li. (2019). UFKLDA: An unsupervised feature extraction algorithm for anomaly detection under cloud environment. ETRI Journal. 41(5). 684–695. 13 indexed citations

11.

Zhao, Xuan, et al.. (2018). Composite braking AMT shift strategy for extended-range heavy commercial electric vehicle based on LHMM/ANFIS braking intention identification. Cluster Computing. 22(S4). 8513–8528. 15 indexed citations

12.

Jin, Yinli, et al.. (2018). Hybrid Traffic Forecasting Model With Fusion of Multiple Spatial Toll Collection Data and Remote Microwave Sensor Data. IEEE Access. 6. 79211–79221. 21 indexed citations

13.

Wang, Guiping & T. E. Simos. (2018). New multiple stages two-step complete in phase algorithm with improved characteristics for second order initial/boundary value problems. Journal of Mathematical Chemistry. 57(2). 494–515. 15 indexed citations

14.

Wang, Guiping, Jianxi Yang, & Li Ren. (2017). Imbalanced SVM-Based Anomaly Detection Algorithm for Imbalanced Training Datasets. ETRI Journal. 39(5). 621–631. 31 indexed citations

15.

Zhang, Yuchen, et al.. (2016). Mechanical Properties of L80 Steel in CO_2/H_2S Environment. 45(5). 91–96.

16.

Li, Ren, Qi Zhang, Huibin Wang, & Guiping Wang. (2016). Distributed RDFS Rules Reasoning for Large-Scaled RDF Graphs Using Spark. 38. 158–162. 3 indexed citations

17.

Wang, Guiping, et al.. (2014). Modeling and analyzing of conformity behavior: A fuzzy logic approach. Optik. 125(21). 6594–6598. 8 indexed citations

18.

Wang, Guiping, et al.. (2014). A Dependable Monitoring Mechanism Combining Static and Dynamic Anomaly Detection for Network Systems. International Journal of Future Generation Communication and Networking. 7(1). 1–18. 2 indexed citations

19.

Wang, Guiping. (2011). Fuzzy Control Modeling and Simulation of Regenerative Braking System for Pure Electric Vehicle with Dual-source Energy Storage System. Jisuanji fangzhen. 3 indexed citations

20.

Wang, Guiping, et al.. (2006). Multi-function Intelligent Instrument of Vehicle Detection Based on Embedded System. 25. 5149–5152. 4 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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