Yaqiong Lv

1.8k total citations · 1 hit paper
63 papers, 1.2k citations indexed

About

Yaqiong Lv is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanics of Materials. According to data from OpenAlex, Yaqiong Lv has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Control and Systems Engineering, 22 papers in Industrial and Manufacturing Engineering and 16 papers in Mechanics of Materials. Recurrent topics in Yaqiong Lv's work include Machine Fault Diagnosis Techniques (27 papers), Engineering Diagnostics and Reliability (16 papers) and Gear and Bearing Dynamics Analysis (12 papers). Yaqiong Lv is often cited by papers focused on Machine Fault Diagnosis Techniques (27 papers), Engineering Diagnostics and Reliability (16 papers) and Gear and Bearing Dynamics Analysis (12 papers). Yaqiong Lv collaborates with scholars based in China, Hong Kong and Singapore. Yaqiong Lv's co-authors include C.K.M. Lee, Kam K.H. Ng, K.L. Choy, William Ho, Jialun Liu, Felix T.S. Chan, Yifan Li, Weidong Li, Zhiyao Zhao and Danping Lin and has published in prestigious journals such as Sensors, Applied Thermal Engineering and Sustainability.

In The Last Decade

Yaqiong Lv

58 papers receiving 1.2k citations

Hit Papers

Design and application of Internet of things-based wareho... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Design and application of Internet of things-based warehouse management system for smart logistics
    2017 288 citations C.K.M. Lee, Yaqiong Lv et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaqiong Lv China 21 521 356 202 128 117 63 1.2k
Hong-Bae Jun South Korea 18 551 1.1× 274 0.8× 201 1.0× 156 1.2× 64 0.5× 61 1.4k
Edzel Lapira United States 9 565 1.1× 278 0.8× 112 0.6× 147 1.1× 37 0.3× 11 1.1k
Moneer Helu United States 22 1.1k 2.1× 263 0.7× 438 2.2× 127 1.0× 35 0.3× 43 1.8k
Wim J.C. Verhagen Netherlands 18 468 0.9× 229 0.6× 245 1.2× 84 0.7× 53 0.5× 71 1.1k
Roberto da Piedade Francisco Brazil 4 270 0.5× 321 0.9× 115 0.6× 59 0.5× 79 0.7× 8 877
Symone Gomes Soares Alcalá Portugal 9 296 0.6× 388 1.1× 141 0.7× 52 0.4× 84 0.7× 24 1.1k
João Basto Brazil 4 284 0.5× 319 0.9× 121 0.6× 46 0.4× 79 0.7× 5 880
Kevin Leahy Ireland 12 275 0.5× 298 0.8× 87 0.4× 131 1.0× 36 0.3× 17 828
Seppo Sierla Finland 21 672 1.3× 327 0.9× 109 0.5× 98 0.8× 32 0.3× 95 1.7k
Ken Bruton Ireland 17 400 0.8× 273 0.8× 87 0.4× 177 1.4× 26 0.2× 50 1.2k

Countries citing papers authored by Yaqiong Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yaqiong Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaqiong Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Yaqiong Lv. A scholar is included among the top collaborators of Yaqiong 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 Yaqiong Lv. Yaqiong 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, Yaqiong, et al.. (2025). Enhancing marine shaft generator reliability through intelligent fault diagnosis of gearbox bearings via improved Bidirectional LSTM. Ocean Engineering. 337. 121860–121860. 7 indexed citations
2.
Lv, Yaqiong, et al.. (2025). Dynamic weighted multimodal fusion for fault diagnosis of marine rotating machinery under noisy and low-sample conditions. Ocean Engineering. 339. 122082–122082. 2 indexed citations
3.
Lv, Yaqiong, Dexuan Zou, & Shuliang Wang. (2025). Optimal scheduling of the building integrated energy system based on the bi-level optimal scheduling model. Applied Thermal Engineering. 278. 127028–127028. 1 indexed citations
4.
Lv, Yaqiong, et al.. (2025). An intelligent data-driven adaptive health state assessment approach for rolling bearings under single and multiple working conditions. Computers & Industrial Engineering. 203. 110988–110988. 3 indexed citations
5.
Lv, Yaqiong, et al.. (2024). Dual strategies-based resilience enhancement in a bulk cargo port under dynamic machinery failure scenarios with reinforcement learning. Ocean & Coastal Management. 260. 107484–107484. 6 indexed citations
6.
Lv, Yaqiong, Xiaohu Zhang, Yiwei Cheng, & C.K.M. Lee. (2024). Intelligent fault diagnosis of machinery based on hybrid deep learning with multi temporal correlation feature fusion. Quality and Reliability Engineering International. 40(6). 3517–3536. 6 indexed citations
7.
Lv, Yaqiong, et al.. (2024). Dynamic berth allocation under uncertainties based on deep reinforcement learning towards resilient ports. Ocean & Coastal Management. 252. 107113–107113. 16 indexed citations
8.
Liu, Jialun, et al.. (2024). Testing and evaluation for intelligent navigation of ships: Current status, possible solutions, and challenges. Ocean Engineering. 295. 116969–116969. 29 indexed citations
9.
Lv, Yaqiong, et al.. (2024). Dynamic predictive maintenance strategy for multi‐component system based on LSTM and hierarchical clustering. Quality and Reliability Engineering International. 41(1). 30–50. 4 indexed citations
10.
Lv, Yaqiong, et al.. (2024). Intelligent Cross-Working Condition Fault Detection and Diagnosis Using Isolation Forest and Adversarial Discriminant Domain Adaptation. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 6 indexed citations
11.
Lv, Yaqiong, et al.. (2023). Fault detection and diagnosis of air brake system: A systematic review. Journal of Manufacturing Systems. 71. 34–58. 22 indexed citations
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Bai, Yue, Yaqiong Lv, & Jiatong Zhang. (2023). Smart mobile robot fleet management based on hierarchical multi-agent deep Q network towards intelligent manufacturing. Engineering Applications of Artificial Intelligence. 124. 106534–106534. 18 indexed citations
16.
Lv, Yaqiong, et al.. (2023). A Predictive Maintenance Strategy for Multi-Component Systems Based on Components’ Remaining Useful Life Prediction. Mathematics. 11(18). 3884–3884. 7 indexed citations
17.
Lv, Yaqiong, et al.. (2023). Reliability Analysis of Failure-Dependent System Based on Bayesian Network and Fuzzy Inference Model. Electronics. 12(4). 1026–1026. 3 indexed citations
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Lv, Yaqiong, et al.. (2010). Fuzzy theory applied in quality management of distributed manufacturing system: A literature review and classification. Engineering Applications of Artificial Intelligence. 24(2). 266–277. 33 indexed citations
20.
Shao, Xinyu, Jun Wu, Yaqiong Lv, & Chao Deng. (2008). Reliability Assessment Methods of Complicated Mechanical Product Based on Statistical Learning Theory. Advanced materials research. 44-46. 575–580. 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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