L. Yan

2.1k total citations
12 papers, 112 citations indexed

About

L. Yan is a scholar working on Aerospace Engineering, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, L. Yan has authored 12 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 4 papers in Statistics and Probability and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in L. Yan's work include Advanced SAR Imaging Techniques (3 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods and Inference (2 papers). L. Yan is often cited by papers focused on Advanced SAR Imaging Techniques (3 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods and Inference (2 papers). L. Yan collaborates with scholars based in China, Spain and Italy. L. Yan's co-authors include Wei Liang, Bingjie Wang, Jia Xu, Zhou Xu, Teng Long, Alfonso Farina, Xiang‐Gen Xia, Yongliang Wang, Xingzhong Xu and Yu Ma and has published in prestigious journals such as Macromolecules, International Journal of Molecular Sciences and Sensors.

In The Last Decade

L. Yan

11 papers receiving 110 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Yan China	6	60	42	19	16	12	12	112
Severin Stalder Switzerland	4	35 0.6×	172 4.1×	12 0.6×	24 1.5×	7 0.6×	5	191
Daniel DeTone United States	5	81 1.4×	101 2.4×	10 0.5×	11 0.7×	1 0.1×	7	141
Karel Lebeda United Kingdom	7	107 1.8×	183 4.4×	6 0.3×	25 1.6×	3 0.3×	9	207
Claus Gramkow Denmark	4	32 0.5×	65 1.5×	32 1.7×	13 0.8×	1 0.1×	7	119
Mallikarjuna Vayugundla Germany	7	81 1.4×	60 1.4×	8 0.4×	6 0.4×	2 0.2×	14	115
Shenyuan Gao Hong Kong	2	32 0.5×	99 2.4×	4 0.2×	21 1.3×	2 0.2×	3	135
Jin Tang China	6	17 0.3×	50 1.2×	5 0.3×	7 0.4×	3 0.3×	10	90
Xingjian He China	6	45 0.8×	125 3.0×	7 0.4×	24 1.5×		19	164
Yuan-Ting Hu United States	6	31 0.5×	104 2.5×	5 0.3×	18 1.1×	1 0.1×	13	122

Countries citing papers authored by L. Yan

Since Specialization

Citations

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

Fields of papers citing papers by L. Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Yan

This figure shows the co-authorship network connecting the top 25 collaborators of L. Yan. A scholar is included among the top collaborators of L. 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 L. Yan. L. 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:

12 of 12 papers shown

1.

Yan, L., Weiwei Zheng, Emilie Muller, et al.. (2025). Timed Formation and Aging of Complex Coacervates Using a Volatile Salt. Macromolecules. 58(7). 3635–3642. 1 indexed citations

2.

Yan, L., et al.. (2025). AI-Integrated QSAR Modeling for Enhanced Drug Discovery: From Classical Approaches to Deep Learning and Structural Insight. International Journal of Molecular Sciences. 26(19). 9384–9384.

3.

Fang, Xiaojie, et al.. (2022). Multicomponent Secure Transmission Based on GMFRFT With Imperfect CSI. IEEE Communications Letters. 26(12). 2860–2864. 2 indexed citations

4.

Ma, Yu, et al.. (2019). SAR Target Recognition Based on Transfer Learning and Data Augmentation with LSGANs. 2334–2337. 9 indexed citations

5.

Xu, Jia, L. Yan, Zhou Xu, et al.. (2018). Adaptive Radon–Fourier Transform for Weak Radar Target Detection. IEEE Transactions on Aerospace and Electronic Systems. 54(4). 1641–1663. 43 indexed citations

6.

Li, Zhao, L. Yan, & Xingzhong Xu. (2017). High-correlated residuals improved estimation in the high-dimensional SUR model. Communications in Statistics - Simulation and Computation. 47(6). 1583–1605. 5 indexed citations

7.

Xu, Jia, et al.. (2016). SAR Ground Moving Target Indication Based on Relative Residue of DPCA Processing. Sensors. 16(10). 1676–1676. 10 indexed citations

8.

Yan, L. & Xingzhong Xu. (2016). A new confidence interval in measurement error model with the reliability ratio known. Communication in Statistics- Theory and Methods. 46(19). 9636–9650. 1 indexed citations

9.

Yan, L., et al.. (2016). Fiducial inference in the classical errors-in-variables model. Metrika. 80(1). 93–114. 1 indexed citations

10.

Yan, L., et al.. (2016). A new confidence interval in errors-in-variables model with known error variance. Journal of Applied Statistics. 44(12). 2204–2221. 1 indexed citations

11.

Yan, L., et al.. (2014). Action Recognition Using Local Joints Structure and Histograms of 3D Joints. 18. 185–188. 5 indexed citations

12.

Wang, Bingjie, et al.. (2013). Head Pose Estimation with Combined 2D SIFT and 3D HOG Features. 34 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.

Explore authors with similar magnitude of impact