Quanying Wang

2.5k citations
93 papers · 2.1k · h-index 27

Impact in

Papers in

Quanying Wang

88 papers receiving 2.0k citations

Peers

Quanying Wang
Comparison fields: 5 of 107
  • Pollution 860
  • Health, Toxicology and Mutagenesis 380
  • Soil Science 240
  • Industrial and Manufacturing Engineering 170
  • Renewable Energy, Sustainability and the Environment 287
Replace K. S. Subramanian with:
K. S. Subramanian India
Merja Itävaara Finland
Xiuying Li China
Andreas Schaeffer Germany
Raoul Calvet France
Caihong Huang China
Eugenio López Periago Spain
Tariq Mehmood China
Thierry Lebeau France
Ludmilla Aristilde United States
Quanying Wang relative to K. S. Subramanian India K. S. Subramanian's profile →
Citations per field
00.5×1.5×2.3×
K. S. Subramanian · 1×
Citations per year

Countries citing papers authored by Quanying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Quanying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009164
2 2009131
3 2018115
4 2009101
5 201282
6 201282
7 201470
8 201463
9 201460
10 201556
11 201754
12 201950
13 201944
14 202243
15 200841
16 201741
17 201240
18 201837
19 201735
20 202333

About Quanying Wang

Quanying Wang is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Molecular Biology, Materials Chemistry and Soil Science, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include Heavy metals in environment (21 papers), Virus-based gene therapy research (10 papers), Advanced Photocatalysis Techniques (10 papers), Soil Carbon and Nitrogen Dynamics (9 papers), Microplastics and Plastic Pollution (9 papers), Geophysical and Geoelectrical Methods (6 papers), Cancer Research and Treatments (6 papers) and Adsorption and biosorption for pollutant removal (6 papers). The work is most often cited by research in Pollution (860 citations), Health, Toxicology and Mutagenesis (380 citations), Soil Science (240 citations), Industrial and Manufacturing Engineering (170 citations) and Renewable Energy, Sustainability and the Environment (287 citations). Quanying Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Dongmei Zhou, Long Cang, Hongwen Yu, Jingshuang Liu, Xingjian Xu, Xuerong Han, Yang Wang, Guangping Fan, Ying Zeng and Tianye Wang. Their work appears in journals such as The Science of The Total Environment, Journal of Hazardous Materials, Chemical Engineering Journal, Bioresource Technology and Environmental Pollution.

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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