Pan Qin

842 total citations
49 papers, 468 citations indexed

About

Pan Qin is a scholar working on Control and Systems Engineering, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Pan Qin has authored 49 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 10 papers in Molecular Biology and 9 papers in Mechanical Engineering. Recurrent topics in Pan Qin's work include Fault Detection and Control Systems (8 papers), Control Systems and Identification (7 papers) and Gene expression and cancer classification (6 papers). Pan Qin is often cited by papers focused on Fault Detection and Control Systems (8 papers), Control Systems and Identification (7 papers) and Gene expression and cancer classification (6 papers). Pan Qin collaborates with scholars based in China, Japan and United States. Pan Qin's co-authors include Hong Gu, Jia Wang, Zi‐Jiang Yang, Ryuei Nishii, Xiaolu Xu, Jia Wang, Yang Wang, Xi‐Ming Sun, Yingshun Li and Yujie Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Pan Qin

43 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pan Qin China	11	204	79	66	54	54	49	468
Joel Andersson Sweden	12	255 1.3×	94 1.2×	29 0.4×	31 0.6×	76 1.4×	43	662
Dongsheng Wu United States	14	56 0.3×	25 0.3×	57 0.9×	96 1.8×	33 0.6×	78	665
Yongchan Kwon South Korea	8	41 0.2×	56 0.7×	168 2.5×	56 1.0×	28 0.5×	12	462
Jianan Xia China	15	23 0.1×	109 1.4×	41 0.6×	46 0.9×	15 0.3×	37	535
Junjie Wang China	15	50 0.2×	286 3.6×	73 1.1×	23 0.4×	16 0.3×	70	659
Kai Qu China	11	46 0.2×	13 0.2×	93 1.4×	22 0.4×	16 0.3×	35	365
Mingzhi Chen China	15	76 0.4×	95 1.2×	95 1.4×	29 0.5×	20 0.4×	59	552
Rahime Ceylan Türkiye	10	33 0.2×	18 0.2×	131 2.0×	45 0.8×	8 0.1×	20	333
Ahmad Keshavarz Iran	16	159 0.8×	9 0.1×	90 1.4×	114 2.1×	26 0.5×	66	682

Countries citing papers authored by Pan Qin

Since Specialization

Citations

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

Fields of papers citing papers by Pan Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Qin

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

All Works

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20 of 20 papers shown

Li, Xin, et al.. (2025). Prediction of significant wave height based on feature decomposition and enhancement. Expert Systems with Applications. 277. 127255–127255. 1 indexed citations

Qin, Pan, et al.. (2025). Physics-informed temporal convolutional network with auto-regressive residual for significant wave height prediction. Ocean Engineering. 329. 121150–121150.

Qin, Pan, et al.. (2024). Physically informed hierarchical learning based soft sensing for aero-engine health management unit. Chinese Journal of Aeronautics. 38(3). 103308–103308.

Gu, Hong, et al.. (2024). A Domain-Adaptive Physics-Informed Neural Network for Inverse Problems of Maxwell's Equations in Heterogeneous Media. IEEE Antennas and Wireless Propagation Letters. 23(10). 2905–2909. 5 indexed citations

Qin, Pan, et al.. (2024). A novel deep learning approach for intelligent bearing fault diagnosis under extremely small samples. Applied Intelligence. 54(7). 5306–5316. 10 indexed citations

Gu, Hong, et al.. (2024). A verified training support vector machine in bearing fault diagnosis. Measurement Science and Technology. 35(11). 116131–116131. 4 indexed citations

Liu, Yuting, Hong Gu, & Pan Qin. (2024). Evaluating robustness of support vector machines with the Lagrangian dual approach. Neural Computing and Applications. 36(14). 7991–8006. 1 indexed citations

Liu, Shuting, et al.. (2024). A Channel Attention Enhancement Network Based on TransUNet for Tiny Intracerebral Hemorrhage Segmentation. 8441–8446.

Cui, Tongtong, et al.. (2023). Gamma distribution based predicting model for breast cancer drug response based on multi-layer feature selection. Frontiers in Genetics. 14. 1095976–1095976. 1 indexed citations

10.

Wang, Benchao, Pan Qin, & Hong Gu. (2022). Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in Ga GLM. IEEE Access. 10. 14386–14396.

11.

Zhang, Yuting, et al.. (2022). Factors Influencing Total Delay of Breast Cancer in Northeast of China. Frontiers in Oncology. 12. 841438–841438. 3 indexed citations

12.

Li, Yujie, et al.. (2022). BUSnet: A Deep Learning Model of Breast Tumor Lesion Detection for Ultrasound Images. Frontiers in Oncology. 12. 848271–848271. 21 indexed citations

13.

Gu, Hong, et al.. (2022). U-shaped GAN for Semi-Supervised Learning and Unsupervised Domain Adaptation in High Resolution Chest Radiograph Segmentation. Frontiers in Medicine. 8. 782664–782664. 6 indexed citations

14.

Gu, Hong, et al.. (2022). Chest L-Transformer: Local Features With Position Attention for Weakly Supervised Chest Radiograph Segmentation and Classification. Frontiers in Medicine. 9. 923456–923456. 4 indexed citations

15.

Gu, Hong, Xiaolu Xu, Pan Qin, & Jia Wang. (2020). FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network. Frontiers in Genetics. 11. 564839–564839. 9 indexed citations

16.

Xu, Xiaolu, Hong Gu, Yang Wang, Jia Wang, & Pan Qin. (2019). Autoencoder Based Feature Selection Method for Classification of Anticancer Drug Response. Frontiers in Genetics. 10. 233–233. 59 indexed citations

17.

Xu, Xiaolu, Pan Qin, Hong Gu, Jia Wang, & Yang Wang. (2019). Adaptively Weighted and Robust Mathematical Programming for the Discovery of Driver Gene Sets in Cancers. Scientific Reports. 9(1). 5959–5959. 3 indexed citations

18.

Liu, Jingxiang, Tao Liu, Junghui Chen, & Pan Qin. (2018). Novel common and special features extraction for monitoring multi-grade processes. Journal of Process Control. 66. 98–107. 10 indexed citations

19.

Yang, Zi‐Jiang & Pan Qin. (2014). Robust synchronisation tracking control of networked Euler–Lagrange systems using reference trajectory estimation based on virtual double-integrators. International Journal of Systems Science. 47(9). 2088–2099. 4 indexed citations

20.

Yang, Zi‐Jiang, et al.. (2011). Decentralized adaptive robust control of robot manipulators. 181–186. 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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