Yuan Lan
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and ELM
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
- Metaheuristic Optimization Algorithms Research
-
- Face and Expression Recognition
Papers in
-
- Machine Learning and ELM 16
- Neural Networks and Applications 4
- Stochastic Gradient Optimization Techniques 3
- Metaheuristic Optimization Algorithms Research 3
-
- Hydraulic and Pneumatic Systems 9
- Co-authors
- Guang-Bin Huang (11 shared papers)Yeng Chai Soh (8 shared papers)Xiaoyan Xiong (11 shared papers)Zongben Xu (2 shared papers)Long Quan (8 shared papers)Rui Zhang (1 shared paper)Jiahai Huang (9 shared papers)Linkai Niu (6 shared papers)
- Journals
- Neurocomputing (4 papers)Measurement (2 papers)IEEE Transactions on Cybernetics (2 papers)Mechanical Systems and Signal Processing (2 papers)Smart Materials and Structures (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yuan Lan
38 papers receiving 2.8k citations
Yuan Lan's Hit Papers
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 468
- Control and Systems Engineering 476
- Electrical and Electronic Engineering 752
- Automotive Engineering 137
Countries citing papers authored by Yuan Lan
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
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-authors
The 25 scholars most cited alongside Yuan Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Extreme learning machines: a survey Hit paper breakdown → | 2011 | 1462 |
| 2 | 2009 | 269 | |
| 3 | 2012 | 172 | |
| 4 | 2010 | 111 | |
| 5 | 2018 | 99 | |
| 6 | 2017 | 88 | |
| 7 | 2010 | 81 | |
| 8 | 2019 | 66 | |
| 9 | 2013 | 60 | |
| 10 | 2017 | 57 | |
| 11 | 2015 | 53 | |
| 12 | 2012 | 46 | |
| 13 | 2014 | 38 | |
| 14 | 2022 | 29 | |
| 15 | 2015 | 29 | |
| 16 | 2015 | 28 | |
| 17 | 2008 | 25 | |
| 18 | Random Search Enhancement of Error Minimized Extreme Learning Machine | 2010 | 23 |
| 19 | 2012 | 14 | |
| 20 | 2017 | 12 |
About Yuan Lan
Yuan Lan is a scholar working on Artificial Intelligence, Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering and Mechanics of Materials, having authored 38 papers that have together received 2.9k indexed citations. Recurring topics across this work include Machine Learning and ELM (16 papers), Hydraulic and Pneumatic Systems (9 papers), Advanced Memory and Neural Computing (6 papers), Neural Networks and Applications (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Machine Fault Diagnosis Techniques (3 papers), Advanced Sensor and Control Systems (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (468 citations), Control and Systems Engineering (476 citations), Electrical and Electronic Engineering (752 citations) and Automotive Engineering (137 citations). Yuan Lan has collaborated with scholars based in China, Singapore and United States. Frequent 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. Their work appears in journals such as Neurocomputing, Measurement, IEEE Transactions on Cybernetics, Mechanical Systems and Signal Processing and Smart Materials and Structures.
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.