Guanglong Wang

418 total citations
49 papers, 308 citations indexed

About

Guanglong Wang is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guanglong Wang has authored 49 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 12 papers in Aerospace Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guanglong Wang's work include Remote Sensing and Land Use (7 papers), Remote-Sensing Image Classification (7 papers) and Infrared Target Detection Methodologies (6 papers). Guanglong Wang is often cited by papers focused on Remote Sensing and Land Use (7 papers), Remote-Sensing Image Classification (7 papers) and Infrared Target Detection Methodologies (6 papers). Guanglong Wang collaborates with scholars based in China, United Kingdom and Chile. Guanglong Wang's co-authors include Jie Liu, Lianfeng Sun, Minjiang Chen, Gang Wang, Wenbin Huang, Li Tao, Xisheng Jia, Bing Zhou, Yu Fang and Huaichao Yang and has published in prestigious journals such as Nano Letters, The Journal of Physical Chemistry C and Nanoscale.

In The Last Decade

Guanglong Wang

43 papers receiving 285 citations

Peers

Guanglong Wang
Pengyu Lu China
Chen Hong China
Hang Yu China
Ali Elrashidi Saudi Arabia
Guanglong Wang
Citations per year, relative to Guanglong Wang Guanglong Wang (= 1×) peers Wenrong Wu

Countries citing papers authored by Guanglong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guanglong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglong Wang. A scholar is included among the top collaborators of Guanglong 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 Guanglong Wang. Guanglong 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
2.
Fang, Dan, et al.. (2025). A camouflage target classification method based on spectral difference enhancement and pixel-pair features in land-based hyperspectral images. Engineering Applications of Artificial Intelligence. 156. 111141–111141. 1 indexed citations
5.
Wang, Guanglong, et al.. (2024). Exploring an application-oriented land-based hyperspectral target detection framework based on 3D–2D CNN and transfer learning. EURASIP Journal on Advances in Signal Processing. 2024(1). 8 indexed citations
6.
Wang, Guanglong, et al.. (2023). SRA–CEM: An Improved CEM Target Detection Algorithm for Hyperspectral Images Based on Subregion Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 6026–6037. 11 indexed citations
7.
Wang, Guanglong, et al.. (2023). Spectral uncertainty analysis of grassland and its camouflage materials based on land-based hyperspectral images. Open Physics. 21(1). 2 indexed citations
8.
9.
Jia, Xisheng, et al.. (2019). A new fault diagnosis method based on convolutional neural network and compressive sensing. Journal of Mechanical Science and Technology. 33(11). 5177–5188. 29 indexed citations
10.
Jia, Xisheng, et al.. (2019). Wireless Acquisition and Transmission of Mechanical Vibration Signal: A Review. 63. 1–6. 1 indexed citations
11.
Tian, Jie, Jingjing Wu, & Guanglong Wang. (2015). Realization of real-time sobel adaptive threshold edge detection system based on FPGA. 2740–2743. 5 indexed citations
12.
Dong, Yuhan, et al.. (2014). Resonant tunneling diode with a multiplication region for light detection. Optics Communications. 331. 94–97. 1 indexed citations
13.
Yu, Dong, Guanglong Wang, Haiqiao Ni, et al.. (2014). Resonant cavity-enhanced quantum dot field-effect transistor as a single-photon detector. Chinese Physics B. 23(10). 104209–104209. 2 indexed citations
14.
Huang, Wenbin, Guanglong Wang, Gang Wang, et al.. (2013). Power generation from water flowing through three-dimensional graphene foam. Nanoscale. 6(8). 3921–3924. 47 indexed citations
15.
Wang, Guanglong, et al.. (2013). Quantum-dot gated field effect enhanced single-photon detectors. Acta Physica Sinica. 62(19). 194205–194205. 3 indexed citations
16.
Li, Hui, et al.. (2012). The Analysis and Design of Cymbal Piezoelectric Array Generator for Fuze. Journal of Projectiles.Rockets.Missiles and Guidance. 32(2). 77–80. 2 indexed citations
17.
Wang, Guanglong. (2012). De-noising method for mixed noise based on median filter and lifting wavelet transform. Journal of Applied Optics. 1 indexed citations
18.
Wang, Guanglong. (2012). Mechanism of low temperature potassium extraction process from potassium feldspar. Chemical Engineering(China). 3 indexed citations
19.
Wang, Guanglong. (2011). Research progress of extracting potassium from potassium feldspar. 5 indexed citations
20.
Wang, Guanglong. (2005). A Technology of Laser Shot Processing Strengthening to Improve Fatigue Life of Components. Turbine Technology. 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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