Lan Wu
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Perovskite Materials and Applications
- Chalcogenide Semiconductor Thin Films
- Organic Light-Emitting Diodes Research
- Organic Electronics and Photovoltaics
Papers in
-
- Robotic Path Planning Algorithms 3
- Advanced Vision and Imaging 3
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- Robot Manipulation and Learning 4
- Co-authors
- Qingbo Meng (2 shared papers)Fuzhi Huang (2 shared papers)Tianshi Qin (2 shared papers)Xinxin Yu (2 shared papers)Yong Peng (2 shared papers)Jie Zhong (2 shared papers)Xiaokun Yang (2 shared papers)Jiangjian Shi (2 shared papers)
In The Last Decade
Lan Wu
22 papers receiving 400 citations
Peers
Comparison fields: 5 of 48
- Polymers and Plastics 139
- Electrical and Electronic Engineering 283
- Materials Chemistry 189
- Computer Vision and Pattern Recognition 42
- Control and Systems Engineering 42
Countries citing papers authored by Lan Wu
This map shows the geographic impact of Lan Wu'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 Lan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wu more than expected).
Fields of papers citing papers by Lan Wu
This network shows the impact of papers produced by Lan Wu. 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 Lan Wu. The network helps show where Lan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 272 | |
| 2 | 2014 | 20 | |
| 3 | 2021 | 16 | |
| 4 | 2021 | 13 | |
| 5 | 2023 | 12 | |
| 6 | 2018 | 11 | |
| 7 | 2020 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2012 | 7 | |
| 10 | 2014 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2014 | 4 | |
| 13 | 2009 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2008 | 3 | |
| 16 | 2011 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2007 | 2 | |
| 20 | 2025 | 2 |
About Lan Wu
Lan Wu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Electrical and Electronic Engineering, having authored 25 papers that have together received 404 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robot Manipulation and Learning (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Robotic Path Planning Algorithms (3 papers), Advanced Vision and Imaging (3 papers), Spectroscopy and Chemometric Analyses (2 papers), 3D Surveying and Cultural Heritage (2 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Polymers and Plastics (139 citations), Electrical and Electronic Engineering (283 citations), Materials Chemistry (189 citations), Computer Vision and Pattern Recognition (42 citations) and Control and Systems Engineering (42 citations). Lan Wu has collaborated with scholars based in Australia, China and Germany. Frequent co-authors include Qingbo Meng, Fuzhi Huang, Tianshi Qin, Xinxin Yu, Yong Peng, Jie Zhong, Xiaokun Yang, Jiangjian Shi, Peng Zhou and Yi‐Bing Cheng. Their work appears in journals such as IEEE Robotics and Automation Letters, Advanced Energy Materials, The Journal of Engineering, Transportation Research Part C Emerging Technologies and IEEE Transactions on Robotics.
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.