Danlu Chen

2.1k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Danlu Chen is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Danlu Chen has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 10 papers in Health, Toxicology and Mutagenesis and 7 papers in Environmental Engineering. Recurrent topics in Danlu Chen's work include Atmospheric chemistry and aerosols (11 papers), Air Quality and Health Impacts (10 papers) and Air Quality Monitoring and Forecasting (6 papers). Danlu Chen is often cited by papers focused on Atmospheric chemistry and aerosols (11 papers), Air Quality and Health Impacts (10 papers) and Air Quality Monitoring and Forecasting (6 papers). Danlu Chen collaborates with scholars based in China, United States and Netherlands. Danlu Chen's co-authors include Ziyue Chen, Bingbo Gao, Yan Zhuang, Ruiyuan Li, Bin He, Bing Xu, Jun Cai, Nianliang Cheng, Mei‐Po Kwan and Бин Чэн and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Cleaner Production and Environmental Pollution.

In The Last Decade

Danlu Chen

14 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism

2020 481 citations Ziyue Chen, Danlu Chen et al. Environment International profile →

Peers

Countries citing papers authored by Danlu Chen

Since Specialization

Citations

This map shows the geographic impact of Danlu Chen'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 Danlu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danlu Chen more than expected).

Fields of papers citing papers by Danlu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danlu Chen. 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 Danlu Chen. The network helps show where Danlu Chen may publish in the future.

Co-authorship network of co-authors of Danlu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Danlu Chen. A scholar is included among the top collaborators of Danlu Chen 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 Danlu Chen. Danlu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	A Study on Flood Susceptibility Mapping in the Poyang Lake Basin Based on Machine Learning Model Comparison and SHapley Additive exPlanations Interpretation 2025 ·Water ·Zhuojia Li, (unknown), (unknown), Danlu Chen, (unknown), Deliang Sun	0
2	A novel bio-based fluorescent N, P-CDs@CMC/PEI composite hydrogel for sensitive detection and efficient capture of toxic heavy metal ions 2024 ·Journal of Hazardous Materials ·(unknown), Zhixiong Liu, Feng Feng, Danlu Chen, Jun Qin, Yunfeng Bai, Feng Yu	27
3	Estimating the impact of ground ozone concentrations on crop yields across China from 2014 to 2018: A multi-model comparison 2021 ·Environmental Pollution ·(unknown), (unknown), Danlu Chen, Manchun Li, Ruiyuan Li, Bingbo Gao, Bo Zhao, Ziyue Chen	28
4	Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism breakdown → 2020 ·Environment International ·Ziyue Chen, Danlu Chen, Chuanfeng Zhao, Mei‐Po Kwan, Jun Cai, Yan Zhuang, Bo Zhao, Xiaoyan Wang, Бин Чэн, Jing Yang, Ruiyuan Li, Bin He, Bingbo Gao, Kaicun Wang, Bing Xu	481
5	Phenology-based classification of crop species and rotation types using fused MODIS and Landsat data: The comparison of a random-forest-based model and a decision-rule-based model 2020 ·Soil and Tillage Research ·Ruiyuan Li, (unknown), Ziyue Chen, Bingbo Gao, Jun Cai, Feixue Shen, Xianglin He, Yan Zhuang, Danlu Chen	58
6	Evaluating the “2+26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM _2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport 2019 ·Atmospheric chemistry and physics ·Ziyue Chen, Danlu Chen, Wei Wen, Yan Zhuang, Mei‐Po Kwan, Бин Чэн, Bo Zhao, Lin Yang, Bingbo Gao, Ruiyuan Li, Bing Xu	109
7	The control of anthropogenic emissions contributed to 80 % of the decrease in PM _2.5 concentrations in Beijing from 2013 to 2017 2019 ·Atmospheric chemistry and physics ·Ziyue Chen, Danlu Chen, Mei‐Po Kwan, Бин Чэн, Bingbo Gao, Yan Zhuang, Ruiyuan Li, Bing Xu	106
8	Understanding the causal influence of major meteorological factors on ground ozone concentrations across China 2019 ·Journal of Cleaner Production ·Ziyue Chen, Ruiyuan Li, Danlu Chen, Yan Zhuang, Bingbo Gao, Lin Yang, Manchun Li	115
9	Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes 2019 ·Journal of Cleaner Production ·Nianliang Cheng, Ruiyuan Li, Chunxue Xu, Ziyue Chen, Danlu Chen, Meng Fan, Bingfen Cheng, Ziqiang Ma, Yan Zhuang, Bin He, Bingbo Gao	103
10	Understanding meteorological influences on PM _2.5 concentrations across China: a temporal and spatial perspective 2018 ·Atmospheric chemistry and physics ·Ziyue Chen, Xiaoming Xie, Jun Cai, Danlu Chen, Bingbo Gao, Bin He, Nianliang Cheng, Bing Xu	198
11	Understanding long-term variations of meteorological influences on ground ozone concentrations in Beijing During 2006–2016 2018 ·Environmental Pollution ·Ziyue Chen, Yan Zhuang, Xiaoming Xie, Danlu Chen, Nianliang Cheng, Lin Yang, Ruiyuan Li	130
12	Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using MODIS Data 2018 ·International Journal of Environmental Research and Public Health ·Yan Zhuang, Danlu Chen, Ruiyuan Li, Ziyue Chen, Jun Cai, Bin He, Bingbo Gao, Nianliang Cheng, (unknown)	20
13	Spatial self-aggregation effects and national division of city-level PM2.5 concentrations in China based on spatio-temporal clustering 2018 ·Journal of Cleaner Production ·Ziyue Chen, Danlu Chen, Xiaoming Xie, Jun Cai, Yan Zhuang, Nianliang Cheng, Bin He, Bingbo Gao	42
14	Understanding Temporal and Spatial Distribution of Crop Residue Burning in China from 2003 to 2017 Using MODIS Data 2018 ·Remote Sensing ·Yan Zhuang, Ruiyuan Li, Hao Yang, Danlu Chen, Ziyue Chen, Bingbo Gao, Bin He	55
15	Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data 2017 ·Remote Sensing ·Ziyue Chen, Danlu Chen, Yan Zhuang, Jun Cai, Na Zhao, Bin He, Bingbo Gao, Bing Xu	9
16	Deep Reinforcement Learning for Accelerating the Convergence Rate 2016 ·arXiv (Cornell University) ·Jie Fu, (unknown), Danlu Chen, (unknown), Miao Liu, Nicholas Léonard, Jiashi Feng, Tat‐Seng Chua	0

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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