Dawei Lü

101 papers receiving 2.6k citations

Dawei Lü's Hit Papers

Data-Driven Machine Learning in Environmental Pollution: Gains and Problems 2022 · 351 citations
3510+1+2Years since publication100200300

Peers

Dawei Lü
Comparison fields: 5 of 178
  • Health, Toxicology and Mutagenesis 524
  • Management Information Systems 212
  • Pollution 243
  • Geochemistry and Petrology 99
  • Environmental Engineering 229
Replace Chunyang Li with:
Chunyang Li China
Hong Zhang China
Yoshinori Suzuki Japan
Jianghua Zhang China
Huihui Liu China
Yanwei Zhang China
Lihong Zhang China
Jiawei Li China
Xin Tian China
Junxiao Liu China
Dawei Lü relative to Chunyang Li China Chunyang Li's profile →
Citations per field
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Chunyang Li · 1×
Citations per year

Countries citing papers authored by Dawei Lü

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dawei Lü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dawei Lü Line = papers co-authored together Dawei Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-Driven Machine Learning in Environmental Pollution: Gains and Problems
Hit paper breakdown →
2022351
2 2020137
3 2015137
4 2011133
5 2000121
6 202093
7 201793
8 201592
9 201690
10 202277
11 202072
12 201769
13 200455
14 200254
15 201153
16 201948
17
Fundamentals of supply chain management
201142
18 201739
19 201738
20 200536

About Dawei Lü

Dawei Lü is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Management Information Systems, Strategy and Management and Environmental Engineering, having authored 113 papers that have together received 2.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (19 papers), Atmospheric chemistry and aerosols (15 papers), Quality and Supply Management (11 papers), Air Quality Monitoring and Forecasting (9 papers), Trace Elements in Health (6 papers), Heavy metals in environment (5 papers), Mercury impact and mitigation studies (4 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (524 citations), Management Information Systems (212 citations), Pollution (243 citations), Geochemistry and Petrology (99 citations) and Environmental Engineering (229 citations). Dawei Lü has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guibin Jiang, Qian Liu, Aiqian Zhang, Xingchen Zhao, Xian Liu, Fang Hao, Rutao Liu, Xuezhi Yang, Jiju Antony and Daniel J. Bates. Their work appears in journals such as Environmental Science & Technology, Frontiers in Pharmacology, The Science of The Total Environment, Nature Communications and Journal of Environmental Sciences.

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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