Lingling Dai

4.6k citations
87 papers · 3.7k · h-index 35

Impact in

Papers in

Lingling Dai

83 papers receiving 3.7k citations

Peers

Lingling Dai
Comparison fields: 5 of 122
  • Building and Construction 1.8k
  • Pollution 1.3k
  • Industrial and Manufacturing Engineering 884
  • Water Science and Technology 1.0k
  • Environmental Engineering 528
Replace Zhang-Wei He with:
Zhang-Wei He China
Stephan Tait Australia
Yanxin Wu China
Jianwei Zhao China
Haiping Yuan China
Ronald L. Droste Canada
Gavin Collins Ireland
David Jeison Chile
Dongbo Wang China
Lingling Dai relative to Zhang-Wei He China Zhang-Wei He's profile →
Citations per field
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Zhang-Wei He · 1×
Citations per year

Countries citing papers authored by Lingling Dai

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lingling Dai, 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 Lingling Dai Line = papers co-authored together Lingling Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012321
2 2018254
3 2012220
4 2014181
5 2016165
6 2020165
7 2016164
8 2020163
9 2017120
10 2021109
11 2017103
12 202088
13 202178
14 201877
15 201665
16 202162
17 201559
18 202056
19 201955
20 201455

About Lingling Dai

Lingling Dai is a scholar working on Building and Construction, Pollution, Biomedical Engineering, Industrial and Manufacturing Engineering and Water Science and Technology, having authored 87 papers that have together received 3.7k indexed citations. Recurring topics across this work include Anaerobic Digestion and Biogas Production (36 papers), Wastewater Treatment and Nitrogen Removal (22 papers), Biofuel production and bioconversion (12 papers), Membrane Separation Technologies (8 papers), Phosphorus and nutrient management (6 papers), Advanced Fiber Optic Sensors (6 papers), Photonic and Optical Devices (6 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Building and Construction (1.8k citations), Pollution (1.3k citations), Industrial and Manufacturing Engineering (884 citations), Water Science and Technology (1.0k citations) and Environmental Engineering (528 citations). Lingling Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaohu Dai, Bin Dong, Xiaohu Dai, Nina Duan, Dong Zhang, Yinguang Chen, Ying Xu, Tao Wang, Xiaoguang Liu and Lei Li. Their work appears in journals such as Bioresource Technology, Water Research, The Science of The Total Environment, Scientific Reports and ACS Sustainable Chemistry & Engineering.

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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