Gui Gui

459 total citations
11 papers, 323 citations indexed

About

Gui Gui is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Gui Gui has authored 11 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 4 papers in Mechanical Engineering. Recurrent topics in Gui Gui's work include Machine Fault Diagnosis Techniques (7 papers), Gear and Bearing Dynamics Analysis (4 papers) and Structural Health Monitoring Techniques (3 papers). Gui Gui is often cited by papers focused on Machine Fault Diagnosis Techniques (7 papers), Gear and Bearing Dynamics Analysis (4 papers) and Structural Health Monitoring Techniques (3 papers). Gui Gui collaborates with scholars based in China and United States. Gui Gui's co-authors include Yong Yao, Suixian Yang, Sen Zhang, Shaobo Li, Zhonghao Liu, Jianjun Hu, Honglei Wang, Haoyang Yu, Weihua Gui and Zhaohui Jiang and has published in prestigious journals such as Sensors, Information Fusion and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Gui Gui

11 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gui Gui China	8	235	137	94	33	28	11	323
Qiuyang Zhou China	13	318 1.4×	222 1.6×	92 1.0×	56 1.7×	20 0.7×	24	399
Hongchun Sun China	12	196 0.8×	150 1.1×	90 1.0×	32 1.0×	40 1.4×	42	358
Guoqiang Li China	8	367 1.6×	207 1.5×	137 1.5×	33 1.0×	37 1.3×	17	438
Zhen Shi China	10	305 1.3×	170 1.2×	103 1.1×	25 0.8×	32 1.1×	24	401
Xiaosun Wang China	12	242 1.0×	222 1.6×	88 0.9×	41 1.2×	65 2.3×	36	447
Rismaya Kumar Mishra India	9	257 1.1×	144 1.1×	97 1.0×	12 0.4×	28 1.0×	18	345
Yanfeng Peng China	11	268 1.1×	174 1.3×	86 0.9×	33 1.0×	52 1.9×	41	387
Ao Ding China	8	161 0.7×	99 0.7×	41 0.4×	21 0.6×	67 2.4×	18	267
Linghui Meng China	8	165 0.7×	130 0.9×	78 0.8×	32 1.0×	36 1.3×	29	320

Countries citing papers authored by Gui Gui

Since Specialization

Citations

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

Fields of papers citing papers by Gui Gui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gui Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Gui Gui. A scholar is included among the top collaborators of Gui Gui 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 Gui Gui. Gui Gui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Mao, Jianxiao, et al.. (2025). Reconstruction of Missing Vibration Data for Long-Span Bridges by Fusing Multiple-Frequency Information Utilizing LSTM with Bayesian Optimization. International Journal of Structural Stability and Dynamics. 2 indexed citations

Zheng, Jiahao, Jinke Ren, Peng Xu, et al.. (2024). Generative Semantic Communication for Text-to-Speech Synthesis. 1–6. 1 indexed citations

Jiang, Zhaohui, et al.. (2024). LFDT-Fusion: A latent feature-guided diffusion Transformer model for general image fusion. Information Fusion. 113. 102639–102639. 33 indexed citations

Yao, Yong, Gui Gui, Suixian Yang, & Sen Zhang. (2024). A recursive multi-head self-attention learning for acoustic-based gear fault diagnosis in real-industrial noise condition. Engineering Applications of Artificial Intelligence. 133. 108240–108240. 18 indexed citations

Yao, Yong, et al.. (2023). A hierarchical adversarial multi-target domain adaptation for gear fault diagnosis under variable working condition based on raw acoustic signal. Engineering Applications of Artificial Intelligence. 123. 106449–106449. 21 indexed citations

Yao, Yong, et al.. (2022). Gear Fault Diagnosis Under Variable Load Conditions Based on Acoustic Signals. IEEE Sensors Journal. 22(23). 22344–22355. 13 indexed citations

Yao, Yong, Gui Gui, Suixian Yang, & Sen Zhang. (2021). A Recursive Denoising Learning for Gear Fault Diagnosis Based on Acoustic Signal in Real Industrial Noise Condition. IEEE Transactions on Instrumentation and Measurement. 70. 1–15. 30 indexed citations

Yao, Yong, Gui Gui, Suixian Yang, & Sen Zhang. (2021). An adaptive anti-noise network with recursive attention mechanism for gear fault diagnosis in real-industrial noise environment condition. Measurement. 186. 110169–110169. 22 indexed citations

Yao, Yong, Sen Zhang, Suixian Yang, & Gui Gui. (2020). Learning Attention Representation with a Multi-Scale CNN for Gear Fault Diagnosis under Different Working Conditions. Sensors. 20(4). 1233–1233. 86 indexed citations

10.

Yao, Yong, Honglei Wang, Shaobo Li, et al.. (2018). End-To-End Convolutional Neural Network Model for Gear Fault Diagnosis Based on Sound Signals. Applied Sciences. 8(9). 1584–1584. 96 indexed citations

11.

Gui, Gui, et al.. (2014). Implementation and Application of Short-Time Fourier Transform on a New High Speed FPGA. Applied Mechanics and Materials. 556-562. 1838–1841. 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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