Yan Qin

2.6k total citations
170 papers, 1.9k citations indexed

About

Yan Qin is a scholar working on Control and Systems Engineering, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yan Qin has authored 170 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Control and Systems Engineering, 42 papers in Artificial Intelligence and 29 papers in Signal Processing. Recurrent topics in Yan Qin's work include Fault Detection and Control Systems (30 papers), Speech Recognition and Synthesis (24 papers) and Speech and Audio Processing (23 papers). Yan Qin is often cited by papers focused on Fault Detection and Control Systems (30 papers), Speech Recognition and Synthesis (24 papers) and Speech and Audio Processing (23 papers). Yan Qin collaborates with scholars based in China, Singapore and United Kingdom. Yan Qin's co-authors include Chau Yuen, Chunhui Zhao, Saeed V. Vaseghi, Furong Gao, Stefan Adams, Biao Huang, Lahiru Jayasinghe, Xiaoli Li, Xuewen Zhang and Yingfei Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Remote Sensing of Environment.

In The Last Decade

Yan Qin

157 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Qin China 26 536 397 308 251 249 170 1.9k
Jia Wu China 16 465 0.9× 472 1.2× 302 1.0× 107 0.4× 280 1.1× 58 2.0k
Huafeng Wu China 28 262 0.5× 305 0.8× 593 1.9× 83 0.3× 119 0.5× 150 2.5k
Xuebo Jin China 25 388 0.7× 526 1.3× 336 1.1× 168 0.7× 95 0.4× 76 2.1k
Xingming Wu China 10 479 0.9× 206 0.5× 191 0.6× 138 0.5× 113 0.5× 28 1.6k
Vijanth Sagayan Asirvadam Malaysia 22 537 1.0× 190 0.5× 340 1.1× 85 0.3× 96 0.4× 212 1.7k
Tingli Su China 21 292 0.5× 437 1.1× 331 1.1× 119 0.5× 88 0.4× 76 1.7k
Jianlei Kong China 26 300 0.6× 500 1.3× 325 1.1× 175 0.7× 90 0.4× 90 2.3k
Bahador Khaleghi Canada 8 300 0.6× 597 1.5× 202 0.7× 116 0.5× 68 0.3× 17 1.5k
Ashfaqur Rahman Australia 25 175 0.3× 564 1.4× 354 1.1× 121 0.5× 81 0.3× 135 2.2k
Paulo Moura Oliveira Portugal 24 703 1.3× 325 0.8× 418 1.4× 55 0.2× 93 0.4× 128 1.8k

Countries citing papers authored by Yan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Qin. A scholar is included among the top collaborators of Yan Qin 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 Yan Qin. Yan Qin 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.
Wang, Zhijie, et al.. (2025). Experimental study on geogrid-soil interface properties based on pullout tests: A case study. Case Studies in Construction Materials. 22. e04376–e04376. 1 indexed citations
2.
Qin, Yan, et al.. (2025). Learning More With Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation With EV Charging Data. IEEE Transactions on Industrial Informatics. 22(1). 543–554.
3.
Qin, Yan, et al.. (2024). Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve. Journal of Energy Storage. 100. 113502–113502. 9 indexed citations
4.
Qin, Yan, et al.. (2024). A change point detection integrated remaining useful life estimation model under variable operating conditions. Control Engineering Practice. 144. 105840–105840. 18 indexed citations
5.
Zhao, Dandan, et al.. (2024). A Zero-Sample Fault Diagnosis Method Based on Transfer Learning. IEEE Transactions on Industrial Informatics. 20(10). 11542–11552. 9 indexed citations
6.
Cai, Li, et al.. (2024). Generalized zero-sample industrial fault diagnosis with domain bias. Reliability Engineering & System Safety. 253. 110571–110571. 6 indexed citations
7.
Cai, Li, Hongpeng Yin, Jingdong Lin, Dandan Zhao, & Yan Qin. (2024). A Multiattribute Learning Model for Zero-Sample Mechanical Fault Diagnosis. IEEE Transactions on Industrial Informatics. 20(7). 9633–9643. 16 indexed citations
8.
Jiang, Pei, et al.. (2024). Industrial robot energy consumption model identification: A coupling model-driven and data-driven paradigm. Expert Systems with Applications. 262. 125604–125604. 10 indexed citations
9.
Zhao, Dandan, et al.. (2024). Multi-view clustering via latent consistency multi-graph fusion. Knowledge-Based Systems. 300. 112106–112106. 5 indexed citations
10.
Huang, Qingqing, Jiang Liu, Wei Dai, et al.. (2024). Transfer Learning-Based State of Health Estimation for Lithium-Ion Battery at Varying Temperatures. 866–869.
11.
Li, Xiaojie, Bo Song, Yan Qin, & Xunyuan Yin. (2023). Partition-based distributed moving horizon state estimation with system disturbances and sensor noise penalties. IFAC-PapersOnLine. 56(2). 3862–3867. 1 indexed citations
12.
Li, Zhenshan, Xinyu Zhang, Yane Luo, et al.. (2023). An electrochemical sensor based on the composite UiO-66-NH2/rGO for trace detection of Pb(II) and Cu(II). Chemical Physics Letters. 830. 140825–140825. 10 indexed citations
13.
Qin, Yan, Yong Liang Guan, & Chau Yuen. (2023). Spatiotemporal Capsule Neural Network for Vehicle Trajectory Prediction. IEEE Transactions on Vehicular Technology. 72(8). 9746–9756. 14 indexed citations
14.
Yin, Xunyuan, Yan Qin, Jinfeng Liu, & Biao Huang. (2023). Data-driven moving horizon state estimation of nonlinear processes using Koopman operator. Process Safety and Environmental Protection. 200. 481–492. 8 indexed citations
15.
Yin, Xunyuan, Yan Qin, Hongtian Chen, et al.. (2022). Community detection based process decomposition and distributed monitoring for large‐scale processes. AIChE Journal. 68(11). 11 indexed citations
16.
Mao, Yanbing, et al.. (2012). Robust stability analysis of uncertain switching fuzzy systems with time-varying delays. Chinese Control Conference. 3419–3422. 2 indexed citations
17.
Chen, Lei, et al.. (2010). The Atmospheric Correction for TM Image under Complicated Geographic Conditions Based on Automatically Extracted Many Dark Objects. Yaogan jishu yu yingyong. 25(4). 532–539. 1 indexed citations
18.
Qin, Yan. (2008). Research on Airborne SAR Interferometry Mapping System. Acta Geodaetica et Cartographica Sinica. 1 indexed citations
19.
Qin, Yan, et al.. (2006). Kalman filter with linear predictor and harmonic noise models for noisy speech enhancement. UEA Digital Repository (University of East Anglia). 1–4.
20.
Qin, Yan. (2001). Orientation of Remote Sensing Images Taken by CCD from Different Orbits. 2 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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