Qiang Ge

610 total citations
57 papers, 429 citations indexed

About

Qiang Ge is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Qiang Ge has authored 57 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 20 papers in Atomic and Molecular Physics, and Optics and 10 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Qiang Ge's work include Advanced Fiber Optic Sensors (29 papers), Photonic and Optical Devices (18 papers) and Advanced Fiber Laser Technologies (16 papers). Qiang Ge is often cited by papers focused on Advanced Fiber Optic Sensors (29 papers), Photonic and Optical Devices (18 papers) and Advanced Fiber Laser Technologies (16 papers). Qiang Ge collaborates with scholars based in China, Japan and Spain. Qiang Ge's co-authors include Benli Yu, Xuqiang Wu, Gang Zhang, Shili Li, Jinhui Shi, Huisheng Wang, Cheng Zuo, Dong Guang, Guosheng Zhang and Linguang Xu and has published in prestigious journals such as Scientific Reports, Optics Letters and Optics Express.

In The Last Decade

Qiang Ge

51 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Ge China 13 371 169 69 51 49 57 429
Zhiyong Shi China 11 158 0.4× 48 0.3× 28 0.4× 10 0.2× 45 0.9× 39 357
Rashad Ramzan Pakistan 14 496 1.3× 90 0.5× 25 0.4× 25 0.5× 218 4.4× 64 667
Huitao Wang China 15 225 0.6× 55 0.3× 262 3.8× 103 2.0× 55 1.1× 50 540
Liang Pan China 9 280 0.8× 109 0.6× 52 0.8× 4 0.1× 42 0.9× 18 337
Sunghyun Moon South Korea 11 409 1.1× 43 0.3× 18 0.3× 21 0.4× 90 1.8× 35 518
Yong Qian China 12 224 0.6× 28 0.2× 18 0.3× 18 0.4× 11 0.2× 48 346
Mehdi Nafar Iran 12 323 0.9× 78 0.5× 19 0.3× 9 0.2× 26 0.5× 55 460
Xin Zheng China 9 189 0.5× 17 0.1× 12 0.2× 62 1.2× 92 1.9× 61 305

Countries citing papers authored by Qiang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Ge. A scholar is included among the top collaborators of Qiang Ge 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 Qiang Ge. Qiang Ge 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.
Ge, Qiang, Dingli Xu, Gang Zhang, et al.. (2025). Double filter noise reduction algorithm optimized by RBF neural network for laser absorption spectroscopy. Infrared Physics & Technology. 145. 105718–105718. 2 indexed citations
2.
Fang, Ting, et al.. (2025). Improved QEPAS sensor based on quartz tuning fork shell enhancement. Infrared Physics & Technology. 151. 106147–106147.
3.
Xu, Linguang, et al.. (2025). Calibration-free quartz tuning fork enhanced laser spectroscopy for trace gas detection. Sensors and Actuators B Chemical. 447. 138854–138854.
4.
Xu, Linguang, et al.. (2025). Neural network optimization algorithms for high-precision TDLAS gas spectroscopic detection. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 343. 126596–126596.
5.
Zhang, Gang, Shuhan Wang, Xinyu Wang, et al.. (2025). A high-fidelity PGC-Arctan demodulation algorithm employing an extended Kalman filter and a combined modulation. Optics Communications. 583. 131733–131733. 1 indexed citations
6.
Xu, Linguang, Gang Zhang, Qiang Ge, Sheng Zhou, & Jingsong Li. (2024). TDLAS based gas absorption spectrum detection system for the college physics experimental teaching. European Journal of Physics. 46(2). 25801–25801.
7.
Zhang, Gang, et al.. (2024). Adaptive Ellipse Fitting Based Ameliorated Passive Interferometric Demodulation Scheme. Journal of Lightwave Technology. 43(6). 2912–2918. 1 indexed citations
8.
Zhang, Gang, Linguang Xu, Qiang Ge, Xuqiang Wu, & Benli Yu. (2023). Ameliorated PGC demodulation scheme using Taubin least squares fitting of ellipse in fiber optic interferometric sensors. Optical Fiber Technology. 80. 103374–103374. 11 indexed citations
9.
Shi, Jinhui, Dong Guang, Shili Li, et al.. (2021). Phase-shifted demodulation technique with additional modulation based on a 3 × 3 coupler and EFA for the interrogation of fiber-optic interferometric sensors. Optics Letters. 46(12). 2900–2900. 40 indexed citations
10.
Shi, Jinhui, Dong Guang, Shili Li, et al.. (2021). Large-range phase-difference sensing technology for low-frequency strain interrogation. Optics Letters. 46(22). 5643–5643. 9 indexed citations
11.
Shi, Jinhui, Dong Guang, Shili Li, et al.. (2021). Single-Wavelength Passive Phase-Shifted Demodulation Technique With the Dual-Cavity and EFA for the Interrogation of EFPI Diaphragm-Based Fiber Sensor. Journal of Lightwave Technology. 40(1). 222–227. 26 indexed citations
12.
Zhang, Gang, Qiang Ge, Huisheng Wang, Xuqiang Wu, & Benli Yu. (2021). Simultaneous temperature and strain measurement using TCF based Mach-Zehnder interferometer. Optical Fiber Technology. 67. 102687–102687. 14 indexed citations
13.
Ge, Qiang, et al.. (2021). Evaluation of Active Photovoltaic Array Based on PSIM Software in Actual Scale. i. 11–15. 1 indexed citations
14.
Li, Shili, Xuqiang Wu, Jinhui Shi, et al.. (2019). Fabry-Perot Interferometer Based on an Aluminum-Polyimide Composite Diaphragm Integrated With Mass for Acceleration Sensing. IEEE Access. 7. 186510–186516. 12 indexed citations
15.
Zhang, Gang, Xuqiang Wu, Qiang Ge, et al.. (2019). Passive stabilization scheme for polarization mode interferometers using a polarization beam splitter. Optics Communications. 448. 64–68. 7 indexed citations
16.
Zhang, Gang, Xuqiang Wu, Qiang Ge, et al.. (2019). Real-time acceleration sensing with an arctan algorithm based on a modal interferometer. Applied Optics. 58(14). 3945–3945. 6 indexed citations
17.
Li, Shili, et al.. (2017). Optical bistability via an external control field in all-fiber ring cavity. Scientific Reports. 7(1). 8992–8992. 19 indexed citations
18.
Wang, Yadong, et al.. (2016). Voltage-based hot-spot detection method for PV string using projector. 34. 570–574. 6 indexed citations
19.
Zhang, Wenjin, et al.. (2014). The Research of Photovoltaic Array Intelligent Fault Diagnosis Based on the BP Neural Network. Advanced materials research. 936. 2201–2206. 4 indexed citations
20.
Zhang, Lei, et al.. (2014). Video surveillance in simplex wireless channel based on GStreamer. 2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA). 3. 378–382. 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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