Dawei Lü

97 papers receiving 2.4k citations

Hit Papers

Data-Driven Machine Learning in Environmental Pollution: Gains and Problems 2022 · 314 citations
3140+1+2Years since publication100200300

Peers

Dawei Lü
Comparison fields: 5 of 177
  • Health, Toxicology and Mutagenesis 497
  • Management Information Systems 201
  • Pollution 233
  • Geochemistry and Petrology 98
  • Environmental Engineering 221
Replace Xingping Zhang with:
Xingping Zhang China
Chunyang Li China
Hong Zhang China
Jianghua Zhang China
Lihong Zhang China
Jiawei Li China
Junxiao Liu China
Yoon‐Seok Chang South Korea
Xin Tian China
Dawei Lü relative to Xingping Zhang China Xingping Zhang's profile →
Citations per field
00.5×6.3×
Xingping Zhang · 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 109 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 →
2022314
2 2011133
3 2015132
4 2020124
5 2000115
6 202093
7 201791
8 201589
9 201686
10 202272
11 201769
12 202062
13 200253
14 201150
15 200447
16 201944
17 201738
18 201737
19 200534
20 202134

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 109 papers that have together received 2.5k 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), Plant nutrient uptake and metabolism (4 papers), Geochemistry and Elemental Analysis (4 papers) and Sustainable Supply Chain Management (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (497 citations), Management Information Systems (201 citations), Pollution (233 citations), Geochemistry and Petrology (98 citations) and Environmental Engineering (221 citations). Dawei Lü has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guibin Jiang, Qian Liu, Xingchen Zhao, Aiqian Zhang, Xian Liu, Fang Hao, Rutao Liu, Xuezhi Yang, Jiju Antony and John Hewitt. Their work appears in journals such as Environmental Science & Technology, Nature Communications, Frontiers in Pharmacology, The Science of The Total Environment and Environmental Science & Technology Letters.

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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