Shanshan Lv

1.1k total citations
35 papers, 568 citations indexed

About

Shanshan Lv is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Shanshan Lv has authored 35 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanics of Materials, 15 papers in Mechanical Engineering and 10 papers in Civil and Structural Engineering. Recurrent topics in Shanshan Lv's work include Ultrasonics and Acoustic Wave Propagation (15 papers), Non-Destructive Testing Techniques (10 papers) and Structural Health Monitoring Techniques (9 papers). Shanshan Lv is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (15 papers), Non-Destructive Testing Techniques (10 papers) and Structural Health Monitoring Techniques (9 papers). Shanshan Lv collaborates with scholars based in China. Shanshan Lv's co-authors include Ruilian Zhao, Mingshun Jiang, Pin Wang, Yongming Li, Song Qi, Lei Jia, Faye Zhang, Lei Zhang, Lirui Wang and Xianling Hu and has published in prestigious journals such as IEEE Access, Sensors and Mechanical Systems and Signal Processing.

In The Last Decade

Shanshan Lv

33 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshan Lv China 12 195 157 139 109 105 35 568
Qiyang Zhang China 10 211 1.1× 128 0.8× 218 1.6× 31 0.3× 25 0.2× 35 901
Qinghua Zhang China 10 111 0.6× 143 0.9× 245 1.8× 35 0.3× 23 0.2× 21 632
Min Meng China 13 224 1.1× 105 0.7× 106 0.8× 52 0.5× 9 0.1× 42 653
Feng Ruan China 14 102 0.5× 263 1.7× 346 2.5× 12 0.1× 47 0.4× 73 752
N. Venkateswaran India 14 66 0.3× 43 0.3× 53 0.4× 19 0.2× 20 0.2× 88 618
Xianyong Fang China 15 98 0.5× 222 1.4× 48 0.3× 39 0.4× 88 0.8× 62 650
Zilong Zhang China 10 232 1.2× 44 0.3× 46 0.3× 60 0.6× 17 0.2× 39 474
Yuexin Zhang China 13 122 0.6× 19 0.1× 67 0.5× 75 0.7× 12 0.1× 33 457
L.P. Calôba Brazil 13 81 0.4× 63 0.4× 173 1.2× 27 0.2× 21 0.2× 69 496

Countries citing papers authored by Shanshan Lv

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Lv. A scholar is included among the top collaborators of Shanshan Lv 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 Shanshan Lv. Shanshan Lv 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.
Lv, Shanshan, et al.. (2025). Transformer model combining cross-attention and self-attention guided by damage index for pipeline damage localization based on helical guided waves. Mechanical Systems and Signal Processing. 231. 112669–112669. 1 indexed citations
3.
Lv, Shanshan, et al.. (2024). Damage Location Method of Pipeline Structure by Ultrasonic Guided Wave Based on Probability Fusion. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 8 indexed citations
4.
Lv, Shanshan, et al.. (2024). Damage Identification Method Based on Ultrasonic Guided Wave Sensor Network and Path Optimization Bayesian Fusion Algorithm. IEEE Sensors Journal. 24(6). 8661–8673. 4 indexed citations
5.
Lv, Shanshan, Changhang Xu, Jing Xie, et al.. (2023). Implications of liquid impurities filled in breaking cracks on nonlinear acoustic modulation response: Mechanisms, phenomena and potential applications. Mechanical Systems and Signal Processing. 200. 110550–110550. 4 indexed citations
6.
Peng, Chang, et al.. (2023). Global-local feature cross-fusion network for ultrasonic guided wave-based damage localization in composite structures. Sensors and Actuators A Physical. 362. 114659–114659. 14 indexed citations
7.
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
8.
Yao, Peng, Jinxi Wang, Faye Zhang, et al.. (2022). Intelligent rolling bearing imbalanced fault diagnosis based on Mel-Frequency Cepstrum Coefficient and Convolutional Neural Networks. Measurement. 205. 112143–112143. 22 indexed citations
9.
Lv, Shanshan, et al.. (2022). Damage localization method for plate-like composite structure based on valid path optimization and search point matching. Mechanical Systems and Signal Processing. 182. 109562–109562. 10 indexed citations
10.
Zhang, Yilan, Jinxi Wang, Faye Zhang, et al.. (2021). Intelligent fault diagnosis of rolling bearing using the ensemble self‐taught learning convolutional auto‐encoders. IET Science Measurement & Technology. 16(2). 130–147. 8 indexed citations
11.
Zhang, Lei, Shanshan Lv, Faye Zhang, et al.. (2021). In-situ variable reflectance spectra model of two-dimensional material prepared by CVD. Journal of Crystal Growth. 559. 126034–126034. 5 indexed citations
12.
Wang, Jinxi, Yilan Zhang, Faye Zhang, et al.. (2021). Accuracy-improved bearing fault diagnosis method based on AVMD theory and AWPSO-ELM model. Measurement. 181. 109666–109666. 40 indexed citations
13.
Li, Wei, Ning Yang, Mingshun Jiang, et al.. (2021). Impact-Induced Damage Recognition of Aluminium Alloy Stiffened Plate Structure Based on Convolutional Neural Network. IEEE Sensors Journal. 21(18). 20283–20295. 5 indexed citations
14.
Lv, Shanshan, et al.. (2020). Phase Difference-3D Coordinate Mapping Model of Structural Light Imaging System Based on Extreme Learning Machine Network. IEEE Access. 8. 68974–68981. 1 indexed citations
15.
Zhang, Lei, Chenhui Su, Shanshan Lv, et al.. (2020). Coverage-dependent differential reflectance spectra of MoS2 atomic films synthesized by CVD using a large-diameter quartz tube. Solid State Communications. 318. 113976–113976. 3 indexed citations
16.
Wang, Pin, et al.. (2019). Cross-task extreme learning machine for breast cancer image classification with deep convolutional features. Biomedical Signal Processing and Control. 57. 101789–101789. 47 indexed citations
17.
Zhang, Lei, Chenhui Su, Shanshan Lv, et al.. (2019). Direct Observation of Monolayer MoS2 Prepared by CVD Using In-Situ Differential Reflectance Spectroscopy. Nanomaterials. 9(11). 1640–1640. 23 indexed citations
18.
Lv, Shanshan, et al.. (2019). The Meteorological Cloud Desktop System of CMA Meteorological Observation Center. 1–3. 1 indexed citations
19.
Wang, Pin, Lirui Wang, Yongming Li, et al.. (2018). Automatic cell nuclei segmentation and classification of cervical Pap smear images. Biomedical Signal Processing and Control. 48. 93–103. 93 indexed citations
20.
Zhao, Ruilian & Shanshan Lv. (2007). Neural-Network Based Test Cases Generation Using Genetic Algorithm. 97–100. 105 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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