Yuan Lan

3.6k total citations · 1 hit paper
38 papers, 2.9k citations indexed

About

Yuan Lan is a scholar working on Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Yuan Lan has authored 38 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Mechanical Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Yuan Lan's work include Machine Learning and ELM (16 papers), Hydraulic and Pneumatic Systems (9 papers) and Advanced Memory and Neural Computing (6 papers). Yuan Lan is often cited by papers focused on Machine Learning and ELM (16 papers), Hydraulic and Pneumatic Systems (9 papers) and Advanced Memory and Neural Computing (6 papers). Yuan Lan collaborates with scholars based in China, Singapore and United States. Yuan Lan's co-authors include Guang-Bin Huang, Yeng Chai Soh, Xiaoyan Xiong, Zongben Xu, Long Quan, Rui Zhang, Jiahai Huang, Linkai Niu, Xiaohong Han and Jie Xiang and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Cybernetics and Mechanical Systems and Signal Processing.

In The Last Decade

Yuan Lan

38 papers receiving 2.8k citations

Hit Papers

align trajectories

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.

Extreme learning machines: a survey

2011 1.5k citations Guang-Bin Huang, Yuan Lan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuan Lan China	18	2.0k	752	476	468	419	38	2.9k
Chi‐Man Vong Macao	35	1.7k 0.9×	735 1.0×	1.0k 2.1×	1.0k 2.2×	478 1.1×	178	4.3k
Zhulin Liu China	19	1.8k 0.9×	391 0.5×	665 1.4×	773 1.7×	181 0.4×	60	2.9k
Yoan Miché Finland	21	1.8k 0.9×	632 0.8×	170 0.4×	453 1.0×	98 0.2×	73	2.5k
Chee‐Kheong Siew Singapore	7	4.5k 2.3×	1.7k 2.3×	676 1.4×	1.1k 2.4×	351 0.8×	16	5.9k
Nanying Liang Singapore	9	1.5k 0.7×	569 0.8×	268 0.6×	300 0.6×	87 0.2×	10	2.0k
Olli Simula Finland	16	1.3k 0.6×	410 0.5×	285 0.6×	327 0.7×	113 0.3×	58	2.0k
Yuhu Cheng China	24	725 0.4×	259 0.3×	383 0.8×	577 1.2×	156 0.4×	169	2.0k
Mahdi Aliyari Shoorehdeli Iran	26	775 0.4×	507 0.7×	1.2k 2.5×	182 0.4×	355 0.8×	207	2.6k
Jiexiong Tang Sweden	7	972 0.5×	358 0.5×	165 0.3×	600 1.3×	105 0.3×	8	1.8k

Countries citing papers authored by Yuan Lan

Since Specialization

Citations

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

Fields of papers citing papers by Yuan Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Lan. A scholar is included among the top collaborators of Yuan Lan 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 Yuan Lan. Yuan Lan 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

Wang, Xiangyu, et al.. (2022). Friction and Wear Characteristics of Disc Friction Pair with Groove-shaped Texture. Journal of Mechanical Engineering. 58(11). 200–200. 2 indexed citations

Lan, Yuan, et al.. (2022). Experimental investigation on cavitation and cavitation detection of axial piston pump based on MLP-Mixer. Measurement. 200. 111582–111582. 29 indexed citations

Wu, Wenhao, et al.. (2020). Nonlinear sorption of phenols and anilines by organobentonites: Nonlinear partition and space limitation for partitioning. The Science of The Total Environment. 736. 139609–139609. 11 indexed citations

Dong, Xufeng, Yuan Lan, Linkai Niu, et al.. (2019). Creep and recovery behaviors of electrorheological elastomers and time-electric field superposition principle. Smart Materials and Structures. 29(2). 25009–25009. 5 indexed citations

Niu, Linkai, et al.. (2019). Experimental observations and dynamic modeling of vibration characteristics of a cylindrical roller bearing with roller defects. Mechanical Systems and Signal Processing. 138. 106553–106553. 66 indexed citations

Niu, Linkai, et al.. (2019). Calculating the Contact Forces at Imperfect Surfaces Considering Elastohydrodynamic Lubrication Effects in Rolling Element Bearings. 1–6. 2 indexed citations

Xu, De, et al.. (2019). A path planning method for a surface inspection system based on two-dimensional laser profile scanner. International Journal of Advanced Robotic Systems. 16(4). 4039172550–4039172550. 5 indexed citations

Lan, Yuan, Jiahai Huang, Linkai Niu, et al.. (2018). Fault diagnosis on slipper abrasion of axial piston pump based on Extreme Learning Machine. Measurement. 124. 378–385. 99 indexed citations

Wang, Chengwen, et al.. (2017). Reduced-order model based active disturbance rejection control of hydraulic servo system with singular value perturbation theory. ISA Transactions. 67. 455–465. 57 indexed citations

10.

Han, Xiaohong, et al.. (2017). A novel data clustering algorithm based on modified gravitational search algorithm. Engineering Applications of Artificial Intelligence. 61. 1–7. 88 indexed citations

11.

Li, Xiaoqiang, Leipo Liu, Zhumu Fu, & Yuan Lan. (2016). Adaptive NN dynamic surface control for a class of uncertain pure-feedback systems. 1414–1419. 1 indexed citations

12.

Lan, Yuan, et al.. (2016). A two-step fault diagnosis framework for rolling element bearings with imbalanced data. 2. 620–625. 2 indexed citations

13.

Feng, Guorui, Yuan Lan, Xinpeng Zhang, & Zhenxing Qian. (2014). Dynamic Adjustment of Hidden Node Parameters for Extreme Learning Machine. IEEE Transactions on Cybernetics. 45(2). 279–288. 38 indexed citations

14.

Zhou, Hongming, Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, & Rui Zhang. (2012). Credit risk evaluation with extreme learning machine. DR-NTU (Nanyang Technological University). 33. 1064–1069. 14 indexed citations

15.

Zhang, Rui, Yuan Lan, Guang-Bin Huang, & Zongben Xu. (2012). Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes. IEEE Transactions on Neural Networks and Learning Systems. 23(2). 365–371. 172 indexed citations

16.

Bu, Wenshao, et al.. (2011). Induction compensation control of bearingless induction motor. 24. 944–949. 5 indexed citations

17.

Lan, Yuan, Yeng Chai Soh, & Guang-Bin Huang. (2010). Random Search Enhancement of Error Minimized Extreme Learning Machine. The European Symposium on Artificial Neural Networks. 23 indexed citations

18.

Lan, Yuan, Yeng Chai Soh, & Guang-Bin Huang. (2010). Constructive hidden nodes selection of extreme learning machine for regression. Neurocomputing. 73(16-18). 3191–3199. 111 indexed citations

19.

Lan, Yuan, Yeng Chai Soh, & Guang-Bin Huang. (2009). Ensemble of online sequential extreme learning machine. Neurocomputing. 72(13-15). 3391–3395. 269 indexed citations

20.

Lan, Yuan, Yeng Chai Soh, & Guang-Bin Huang. (2008). Extreme Learning Machine based bacterial protein subcellular localization prediction. 1859–1863. 25 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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