Wencong Lu
Impact in
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- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
- Materials Chemistry top 2%
- Machine Learning in Materials Science
Papers in
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- Computational Drug Discovery Methods 34
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- Machine Learning in Materials Science 34
- Quantum Dots Synthesis And Properties 13
Wencong Lu
195 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Renewable Energy, Sustainability and the Environment 1.1k
- Materials Chemistry 2.8k
- Computational Theory and Mathematics 607
- Water Science and Technology 389
- Electrical and Electronic Engineering 1.4k
Countries citing papers authored by Wencong Lu
This map shows the geographic impact of Wencong 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 Wencong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wencong Lu more than expected).
Fields of papers citing papers by Wencong Lu
This network shows the impact of papers produced by Wencong 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 Wencong Lu. The network helps show where Wencong Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wencong 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 20 | |
| 6 | 2023 | 34 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 21 | |
| 9 | 2022 | 30 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 28 | |
| 12 | 2018 | 30 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 2 | |
| 15 | 2013 | 35 | |
| 16 | 2008 | 35 | |
| 17 | Feature Selection for Co-Training: A QSAR Study. | 2007 | 1 |
| 18 | 2006 | 78 | |
| 19 | 2005 | 172 | |
| 20 | 2000 | 0 |
About Wencong Lu
Wencong Lu is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Renewable Energy, Sustainability and the Environment, General Materials Science and Analytical Chemistry, having authored 199 papers that have together received 6.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (34 papers), Computational Drug Discovery Methods (34 papers), Machine Learning in Bioinformatics (33 papers), Advanced Photocatalysis Techniques (26 papers), Perovskite Materials and Applications (16 papers), TiO2 Photocatalysis and Solar Cells (15 papers), Quantum Dots Synthesis And Properties (13 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.1k citations), Materials Chemistry (2.8k citations), Computational Theory and Mathematics (607 citations), Water Science and Technology (389 citations) and Electrical and Electronic Engineering (1.4k citations). Wencong Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Minjie Li, Pengcheng Xu, Xiaobo Ji, Yu‐Dong Cai, Qiuling Tao, Longxing Hu, Kaiyan Feng, Guozheng Li, Tian Lu and Hongjie Zhang. Their work appears in journals such as Computational Materials Science, Chemometrics and Intelligent Laboratory Systems, Journal of Alloys and Compounds, The Journal of Physical Chemistry C and Molecular Diversity.
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.