Lu Ren
Impact in
-
- Air Quality and Health Impacts
- Toxic Organic Pollutants Impact
- Mercury impact and mitigation studies
- Environmental Engineering top 10%
- Air Quality Monitoring and Forecasting
Papers in
-
- Mercury impact and mitigation studies 2
- Air Quality and Health Impacts 2
- Heavy Metal Exposure and Toxicity 1
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- Medical Image Segmentation Techniques 2
- Co-authors
- Lawrence Carin (2 shared papers)John Paisley (1 shared paper)Guillermo Sapiro (1 shared paper)Mingyuan Zhou (1 shared paper)Laiguo Chen (3 shared papers)Lan Du (1 shared paper)David B. Dunson (1 shared paper)Yun Zhu (1 shared paper)
- Journals
- Archives of Environmental Contamination and Toxicology (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)Atmospheric Environment (1 paper)Environmental Science & Technology (1 paper)The Science of The Total Environment (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Lu Ren
10 papers receiving 404 citations
Peers
Comparison fields: 5 of 78
- Health, Toxicology and Mutagenesis 132
- Environmental Engineering 78
- Computer Vision and Pattern Recognition 92
- Signal Processing 44
- Media Technology 33
Countries citing papers authored by Lu Ren
This map shows the geographic impact of Lu Ren'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 Lu Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Ren more than expected).
Fields of papers citing papers by Lu Ren
This network shows the impact of papers produced by Lu Ren. 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 Lu Ren. The network helps show where Lu Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Ren, 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 | Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations | 2009 | 147 |
| 2 | 2020 | 99 | |
| 3 | 2019 | 51 | |
| 4 | Logistic Stick-Breaking Process. | 2011 | 41 |
| 5 | 2020 | 31 | |
| 6 | 2018 | 19 | |
| 7 | 2010 | 13 | |
| 8 | 2018 | 8 | |
| 9 | 2024 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2020 | 0 |
About Lu Ren
Lu Ren is a scholar working on Health, Toxicology and Mutagenesis, Computer Vision and Pattern Recognition, Artificial Intelligence, Atmospheric Science and Environmental Engineering, having authored 12 papers that have together received 411 indexed citations. Recurring topics across this work include Neutrino Physics Research (2 papers), Air Quality Monitoring and Forecasting (2 papers), Atmospheric chemistry and aerosols (2 papers), Mercury impact and mitigation studies (2 papers), Air Quality and Health Impacts (2 papers), Medical Image Segmentation Techniques (2 papers), Speech and Audio Processing (1 paper) and Heavy Metal Exposure and Toxicity (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (132 citations), Environmental Engineering (78 citations), Computer Vision and Pattern Recognition (92 citations), Signal Processing (44 citations) and Media Technology (33 citations). Lu Ren has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Lawrence Carin, John Paisley, Guillermo Sapiro, Mingyuan Zhou, Laiguo Chen, Lan Du, David B. Dunson, Yun Zhu, Jiming Hao and Shuxiao Wang. Their work appears in journals such as Archives of Environmental Contamination and Toxicology, International Journal of Machine Learning and Cybernetics, Atmospheric Environment, Environmental Science & Technology and The Science of The Total Environment.
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.