Xiangyi Geng

406 total citations
22 papers, 297 citations indexed

About

Xiangyi Geng is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Xiangyi Geng has authored 22 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 9 papers in Electrical and Electronic Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Xiangyi Geng's work include Machine Fault Diagnosis Techniques (10 papers), Advanced Fiber Optic Sensors (8 papers) and Structural Health Monitoring Techniques (5 papers). Xiangyi Geng is often cited by papers focused on Machine Fault Diagnosis Techniques (10 papers), Advanced Fiber Optic Sensors (8 papers) and Structural Health Monitoring Techniques (5 papers). Xiangyi Geng collaborates with scholars based in China, Thailand and United States. Xiangyi Geng's co-authors include Mingshun Jiang, Qingmei Sui, Xiaohui Liu, Lei Jia, Faye Zhang, Yuxi Jia, Lei Zhang, Jinxi Wang, Shizeng Lu and Shanshan Lv and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and Neurocomputing.

In The Last Decade

Xiangyi Geng

20 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangyi Geng China 11 120 97 73 73 61 22 297
Song Lu China 11 177 1.5× 26 0.3× 33 0.5× 36 0.5× 39 0.6× 47 326
Iñaki Bravo-Imaz Spain 6 50 0.4× 305 3.1× 26 0.4× 108 1.5× 202 3.3× 12 432
Haiyang Li China 11 34 0.3× 309 3.2× 50 0.7× 87 1.2× 203 3.3× 20 346
Elia Landi Italy 11 118 1.0× 52 0.5× 23 0.3× 15 0.2× 65 1.1× 55 294
Eurípedes Guilherme de Oliveira Nóbrega Brazil 9 34 0.3× 216 2.2× 120 1.6× 36 0.5× 49 0.8× 33 356
Yaofeng Liu China 12 48 0.4× 176 1.8× 20 0.3× 90 1.2× 181 3.0× 44 337
Jiacheng Xie China 7 140 1.2× 33 0.3× 23 0.3× 48 0.7× 53 0.9× 24 308
Shrinathan Esakimuthu Pandarakone Japan 9 51 0.4× 281 2.9× 20 0.3× 98 1.3× 171 2.8× 18 323
Xiaotian Zhang China 11 241 2.0× 73 0.8× 115 1.6× 19 0.3× 32 0.5× 40 428
Hongshuai Liu China 11 37 0.3× 63 0.6× 79 1.1× 21 0.3× 44 0.7× 39 296

Countries citing papers authored by Xiangyi Geng

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyi Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyi Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyi Geng. A scholar is included among the top collaborators of Xiangyi Geng 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 Xiangyi Geng. Xiangyi Geng 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.
Liu, Xiaolin, et al.. (2025). Frequency domain guided latent diffusion model for domain generalization in cross-machine fault diagnosis. Measurement. 249. 116989–116989. 4 indexed citations
2.
Ye, Chenglong, Chang Peng, Xiangyi Geng, et al.. (2025). Residual-optimized general linear chirplet transform: A method for time–frequency feature extraction. Signal Processing. 234. 110006–110006.
3.
Jiang, Mingshun, et al.. (2024). Data-Driven Method for Predicting Remaining Useful Life of Bearings Based on Multi-Layer Perception Neural Network and Bidirectional Long Short-Term Memory Network. Structural durability & health monitoring. 19(2). 365–383. 1 indexed citations
4.
Liu, Xiaolin, et al.. (2024). Novel source domain filtering dual classifier network with adaptive pseudo label refinement for partial domain fault diagnosis. Neurocomputing. 620. 129260–129260. 4 indexed citations
5.
Geng, Xiangyi, et al.. (2024). Filter-Match-Interact Transfer Framework for Machineries Open-Set Fault Diagnosis. IEEE Transactions on Industrial Informatics. 21(3). 2758–2766. 2 indexed citations
6.
He, Jiajie, et al.. (2024). Fault Diagnosis Method of Rolling Bearing Based on ESGMD-CC and AFSA-ELM. Structural durability & health monitoring. 18(1). 37–54. 2 indexed citations
7.
Guo, Weichao, Yilan Zhang, Peng Chang, et al.. (2023). A Novel Bearing Fault Diagnosis Method Based on Multifeature Fusion Attention-Guided Mechanism With Noise Robustness. IEEE Sensors Journal. 23(22). 28486–28499. 4 indexed citations
8.
Wang, Jinxi, Dejun Feng, Mingshun Jiang, et al.. (2023). Bearing fault diagnosis method based on maximum noise ratio kurtosis product deconvolution with noise conditions. Measurement. 221. 113542–113542. 26 indexed citations
9.
Wang, Jinxi, Peng Chang, Xiaobo Wu, et al.. (2023). Novel adaptive loss weighted transfer network for partial domain fault diagnosis. ISA Transactions. 145. 362–372. 16 indexed citations
10.
Wang, Jinxi, Xiangyi Geng, Lei Zhang, et al.. (2023). Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network. Measurement. 222. 113677–113677. 11 indexed citations
11.
Lv, Shanshan, Xiangyi Geng, Chang Peng, et al.. (2023). Damage localization in carbon fiber composite plate combining ultrasonic guided wave instantaneous energy characteristics and probabilistic imaging method. Measurement. 221. 113443–113443. 19 indexed citations
12.
Zhang, Faye, Peng Yao, Xiangyi Geng, et al.. (2023). Intelligent rolling bearing compound fault diagnosis based on frequency-domain Gramian angular field and convolutional neural networks with imbalanced data. Journal of Vibration and Control. 30(23-24). 5522–5535.
13.
Zhang, Faye, Xiangyi Geng, Lin Mu, et al.. (2023). Structural discrepancy and domain adversarial fusion network for cross-domain fault diagnosis. Advanced Engineering Informatics. 58. 102217–102217. 29 indexed citations
14.
Geng, Xiangyi, Shizeng Lu, Mingshun Jiang, et al.. (2018). Research on FBG-Based CFRP Structural Damage Identification Using BP Neural Network. Photonic Sensors. 8(2). 168–175. 54 indexed citations
15.
Liu, Xiaohui, et al.. (2017). HCPCF-based in-line fiber Fabry-Perot refractometer and high sensitivity signal processing method. Photonic Sensors. 7(4). 336–344. 7 indexed citations
16.
17.
Jiang, Mingshun, et al.. (2016). Development of an FBG Sensor Array for Multi-Impact Source Localization on CFRP Structures. Sensors. 16(10). 1770–1770. 10 indexed citations
18.
Liu, Xiaohui, Mingshun Jiang, Qingmei Sui, Shuyang Luo, & Xiangyi Geng. (2016). Optical fiber Fabry–Perot interferometer for microorganism growth detection. Optical Fiber Technology. 30. 32–37. 16 indexed citations
19.
Geng, Xiangyi, Mingshun Jiang, Linlin Gao, et al.. (2016). Sensing characteristics of FBG sensor embedded in CFRP laminate. Measurement. 98. 199–204. 31 indexed citations
20.
Liu, Xiaohui, Mingshun Jiang, Qingmei Sui, & Xiangyi Geng. (2016). Optical fibre Fabry–Perot relative humidity sensor based on HCPCF and chitosan film. Journal of Modern Optics. 63(17). 1668–1674. 35 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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