Ping Yan

1.5k total citations
47 papers, 1.0k citations indexed

About

Ping Yan is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Signal Processing. According to data from OpenAlex, Ping Yan has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Industrial and Manufacturing Engineering and 10 papers in Signal Processing. Recurrent topics in Ping Yan's work include Biometric Identification and Security (10 papers), Face recognition and analysis (8 papers) and Manufacturing Process and Optimization (8 papers). Ping Yan is often cited by papers focused on Biometric Identification and Security (10 papers), Face recognition and analysis (8 papers) and Manufacturing Process and Optimization (8 papers). Ping Yan collaborates with scholars based in China, United States and United Kingdom. Ping Yan's co-authors include Kevin W. Bowyer, James S. Duncan, Albert J. Sinusas, Yan He, Yan Wang, Karl Thiele, Han Zhou, Yufeng Li, Murray K. Clayton and Jens C. Eickhoff and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biometrics and Expert Systems with Applications.

In The Last Decade

Ping Yan

42 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Yan China	18	504	441	174	138	103	47	1.0k
Tong Yu China	17	362 0.7×	79 0.2×	88 0.5×	15 0.1×	182 1.8×	50	1.1k
Yongwan Park South Korea	21	135 0.3×	282 0.6×	30 0.2×	19 0.1×	57 0.6×	104	1.5k
Daniela Sánchez Mexico	14	155 0.3×	58 0.1×	50 0.3×	25 0.2×	46 0.4×	38	872
P. Nagaraj India	23	227 0.5×	128 0.3×	9 0.1×	44 0.3×	192 1.9×	135	1.4k
José F. Vélez Spain	13	727 1.4×	167 0.4×	59 0.3×	16 0.1×	75 0.7×	31	1.0k
Daeyoung Kim South Korea	18	189 0.4×	47 0.1×	30 0.2×	27 0.2×	192 1.9×	95	961
Usman Habib Pakistan	14	255 0.5×	42 0.1×	48 0.3×	112 0.8×	53 0.5×	49	767
Amir Nakib France	16	262 0.5×	32 0.1×	265 1.5×	35 0.3×	14 0.1×	82	1.1k
Ming‐Fong Tsai Taiwan	14	146 0.3×	39 0.1×	78 0.4×	20 0.1×	50 0.5×	75	799
Lixin Zheng China	16	741 1.5×	71 0.2×	19 0.1×	28 0.2×	96 0.9×	53	1.5k

Countries citing papers authored by Ping Yan

Since Specialization

Citations

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

Fields of papers citing papers by Ping Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yan, Ping, et al.. (2025). Research on dynamic response characteristics and wear mechanism of the slipper of key friction pair in axial piston pump. Engineering Failure Analysis. 182. 109994–109994.

Pei, Jie, et al.. (2024). A temperature-sensitive points selection method for machine tool based on rough set and multi-objective adaptive hybrid evolutionary algorithm. Advanced Engineering Informatics. 62. 102844–102844. 3 indexed citations

Zhou, Han, et al.. (2022). Denoising the hob vibration signal using improved complete ensemble empirical mode decomposition with adaptive noise and noise quantization strategies. ISA Transactions. 131. 715–735. 18 indexed citations

Yan, Ping, et al.. (2021). Integrated optimization method for helical gear hobbing parameters considering machining efficiency, cost and precision. The International Journal of Advanced Manufacturing Technology. 113(3-4). 735–756. 14 indexed citations

Guo, Tong, et al.. (2020). Effect of Semiactive Control on Wind and Seismic Responses of High-Rise Building Supported on Triple Friction Pendulums. Journal of Performance of Constructed Facilities. 34(3). 3 indexed citations

Yan, Ping, et al.. (2017). A hybrid fault diagnosis method for mechanical components based on ontology and signal analysis. Journal of Intelligent Manufacturing. 30(4). 1693–1715. 62 indexed citations

Chen, Guorong, et al.. (2012). Research on Fault Diagnosis Knowledge Storage Method of SPF Tree. International Journal of Advancements in Computing Technology. 4(19). 265–271.

Yan, Ping, et al.. (2012). A Measuring Method for Angular Displacement Based on Correlation Algorithm. Journal of Computers. 7(10). 1 indexed citations

Zhu, Xiaoyan, et al.. (2009). A novel registration method that incorporates template matching and mutual information. smc 7. 813–818. 4 indexed citations

10.

Yan, Ping, Chunrong Jia, Albert J. Sinusas, et al.. (2007). LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images. Lecture notes in computer science. 20. 233–244. 15 indexed citations

11.

Yan, Ping & Kevin W. Bowyer. (2007). Biometric Recognition Using 3D Ear Shape. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(8). 1297–1308. 250 indexed citations

12.

Yan, Ping, Albert J. Sinusas, & James S. Duncan. (2007). Boundary element method-based regularization for recovering of LV deformation. Medical Image Analysis. 11(6). 540–554. 27 indexed citations

13.

Jia, Chunrong, Theodore J. Kolias, Jonathan M. Rubin, et al.. (2007). 10B-5 4D Elasticity Imaging of PVA LV Phantom Integrated with Pulsatile Circulation System Using 2D Phased Array. Proceedings/Proceedings - IEEE Ultrasonics Symposium. 876–879. 11 indexed citations

14.

Yan, Ping & Murray K. Clayton. (2006). A cluster model for space–time disease counts. Statistics in Medicine. 25(5). 867–881. 22 indexed citations

15.

Yan, Ping, et al.. (2006). Empirical Evaluation of Advanced Ear Biometrics. 3. 41–41. 96 indexed citations

16.

Yu, Weichuan, Ping Yan, Albert J. Sinusas, Karl Thiele, & James S. Duncan. (2006). Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle tracking. Medical Image Analysis. 10(4). 495–508. 44 indexed citations

17.

Woodard, Damon L., Timothy C. Faltemier, Ping Yan, Patrick J. Flynn, & Kevin W. Bowyer. (2006). A Comparison of 3D Biometric Modalities. 57–57. 11 indexed citations

18.

Yan, Ping & Kevin W. Bowyer. (2006). An Automatic 3D Ear Recognition System. 326–333. 28 indexed citations

19.

Yan, Ping, Ning Lin, Albert J. Sinusas, & James S. Duncan. (2005). A Boundary Element-Based Approach to Analysis of LV Deformation. Lecture notes in computer science. 8(Pt 1). 778–785. 8 indexed citations

20.

Zhu, Jun, Jens C. Eickhoff, & Ping Yan. (2005). Generalized Linear Latent Variable Models for Repeated Measures of Spatially Correlated Multivariate Data. Biometrics. 61(3). 674–683. 31 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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