Lu Ren

583 total citations
12 papers, 411 citations indexed

About

Lu Ren is a scholar working on Health, Toxicology and Mutagenesis, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Lu Ren has authored 12 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Lu Ren's work include Air Quality and Health Impacts (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Atmospheric chemistry and aerosols (2 papers). Lu Ren is often cited by papers focused on Air Quality and Health Impacts (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Atmospheric chemistry and aerosols (2 papers). Lu Ren collaborates with scholars based in China, United States and Switzerland. Lu Ren's co-authors include Lawrence Carin, Mingyuan Zhou, John Paisley, Guillermo Sapiro, Laiguo Chen, David B. Dunson, Lan Du, Cholsoon Jang, Mingyuan Ma and Tie‐Yan Liu and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Atmospheric Environment.

In The Last Decade

Lu Ren

10 papers receiving 404 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lu Ren China	8	132	93	92	78	66	12	411
Evaggelia Tsiligianni Belgium	9	141 1.1×	47 0.5×	90 1.0×	123 1.6×	22 0.3×	20	381
Soon-Young Park South Korea	12	123 0.9×	32 0.3×	31 0.3×	107 1.4×	213 3.2×	61	443
Lai United States	10	85 0.6×	28 0.3×	13 0.1×	33 0.4×	109 1.7×	94	564
Haitao Zhou China	14	104 0.8×	26 0.3×	45 0.5×	42 0.5×	55 0.8×	36	619
Masato Koda Japan	10	21 0.2×	68 0.7×	15 0.2×	51 0.7×	40 0.6×	38	425
Pengbo Wang China	16	14 0.1×	52 0.6×	67 0.7×	76 1.0×	24 0.4×	115	831
Takashi Imamura Japan	12	276 2.1×	19 0.2×	87 0.9×	82 1.1×	460 7.0×	59	700
Chih‐Chung Chang Taiwan	17	541 4.1×	55 0.6×	43 0.5×	324 4.2×	691 10.5×	33	1.0k
Lei Yu China	12	59 0.4×	66 0.7×	10 0.1×	53 0.7×	13 0.2×	79	460

Countries citing papers authored by Lu Ren

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lu Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Ren. A scholar is included among the top collaborators of Lu Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lu Ren. Lu Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Meng, Xiancai, et al.. (2025). Autonomous Unmanned Systems Test Platform for Complex Water Environments. 5(3). 439–443.

Li, Jinjiang, et al.. (2024). DmADs-Net: dense multiscale attention and depth-supervised network for medical image segmentation. International Journal of Machine Learning and Cybernetics. 16(1). 523–548. 1 indexed citations

Ren, Lu. (2021). Recent Neutrino Cross-section Results from MicroBooNE. Journal of Physics Conference Series. 2156(1). 12130–12130. 1 indexed citations

Xing, Jia, Shuxin Zheng, Dian Ding, et al.. (2020). Deep Learning for Prediction of the Air Quality Response to Emission Changes. Environmental Science & Technology. 54(14). 8589–8600. 99 indexed citations

Liang, Xiaoming, Qing Lu, Lu Ren, et al.. (2020). VOC emission inventory of architectural coatings and adhesives for new buildings in China based on investigated and measured data. Atmospheric Environment. 245. 118014–118014. 31 indexed citations

Flemming, Johannes, et al.. (2020). Global Air quality Forecast and Information Systems (GAFIS) - a new WMO - GAW initiative.

Huang, Yumei, Laiguo Chen, Guo Jiang, et al.. (2019). Bioaccumulation and biomagnification of short-chain chlorinated paraffins in marine organisms from the Pearl River Estuary, South China. The Science of The Total Environment. 671. 262–269. 51 indexed citations

Wang, Wei, et al.. (2018). Detection of data injection attack in industrial control system using long short term memory recurrent neural network. 2710–2715. 19 indexed citations

Liu, Ming, Zhiqiang Gao, Laiguo Chen, et al.. (2018). A Reliable Method to Determine Monomethylmercury and Monoethylmercury Simultaneously in Aqueous Samples by GC–CVAFS After Distillation. Archives of Environmental Contamination and Toxicology. 75(3). 495–501. 8 indexed citations

10.

Ren, Lu, Lan Du, Lawrence Carin, & David B. Dunson. (2011). Logistic Stick-Breaking Process.. PubMed. 12(Jan). 203–239. 41 indexed citations

11.

Liao, Yi, et al.. (2010). Flavor violating transitions of charged leptons from a seesaw mechanism of dimension seven. Physical review. D. Particles, fields, gravitation, and cosmology. 82(11). 13 indexed citations

12.

Zhou, Mingyuan, et al.. (2009). Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations. Neural Information Processing Systems. 22. 2295–2303. 147 indexed citations

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.

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