Yanfeng Lu
Impact in
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- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
- Materials Chemistry top 10%
- Catalytic Processes in Materials Science
- Copper-based nanomaterials and applications
- Covalent Organic Framework Applications
Papers in
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- Advanced Photocatalysis Techniques 13
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- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 5
- Image Retrieval and Classification Techniques 3
Yanfeng Lu
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Renewable Energy, Sustainability and the Environment 687
- Materials Chemistry 669
- Catalysis 89
- Electrical and Electronic Engineering 504
- Computer Vision and Pattern Recognition 117
Countries citing papers authored by Yanfeng Lu
This map shows the geographic impact of Yanfeng Lu'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 Yanfeng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanfeng Lu more than expected).
Fields of papers citing papers by Yanfeng Lu
This network shows the impact of papers produced by Yanfeng Lu. 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 Yanfeng Lu. The network helps show where Yanfeng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanfeng Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 24 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 47 | |
| 8 | 2022 | 44 | |
| 9 | 2021 | 16 | |
| 10 | 2019 | 79 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 26 | |
| 13 | 2018 | 23 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 12 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 33 | |
| 19 | 2014 | 12 | |
| 20 | 3D vision based local obstacle avoidance method for humanoid robot | 2012 | 8 |
About Yanfeng Lu
Yanfeng Lu is a scholar working on Renewable Energy, Sustainability and the Environment, Computer Vision and Pattern Recognition, Media Technology, Signal Processing and Materials Chemistry, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (13 papers), Catalytic Processes in Materials Science (10 papers), Gas Sensing Nanomaterials and Sensors (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Speech Recognition and Synthesis (5 papers), Advanced Neural Network Applications (5 papers), Image Retrieval and Classification Techniques (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (687 citations), Materials Chemistry (669 citations), Catalysis (89 citations), Electrical and Electronic Engineering (504 citations) and Computer Vision and Pattern Recognition (117 citations). Yanfeng Lu has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Yu Huang, Junji Cao, Shuncheng Lee, Haiwei Li, Yufei Zhang, Ruiyuan Niu, Lifeng Xu, Steven Sai Hang Ho, Cheng Bian and Wingkei Ho. Their work appears in journals such as Neurocomputing, Environmental Science Nano, Surfaces and Interfaces, Computational Materials Science and Applied Catalysis B: Environmental.
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.