Lingyi Tang

1.1k citations
35 papers · 870 · h-index 15

Impact in

Papers in

Lingyi Tang

32 papers receiving 867 citations

Peers

Lingyi Tang
Comparison fields: 5 of 96
  • Pollution 320
  • Water Science and Technology 281
  • Industrial and Manufacturing Engineering 123
  • Geochemistry and Petrology 82
  • Health, Toxicology and Mutagenesis 181
Replace Muhammad Mazhar Iqbal with:
Muhammad Mazhar Iqbal Pakistan
Samina Irshad China
Shahbaz Ali Khan Pakistan
Changquan Wang China
Ian R. Willett Australia
Xiaoyin Sun China
Jianfeng Tang China
Márcia Cristina Bisinoti Brazil
Lingyi Tang relative to Muhammad Mazhar Iqbal Pakistan Muhammad Mazhar Iqbal's profile →
Citations per field
00.5×1.6×
Muhammad Mazhar Iqbal · 1×
Citations per year

Countries citing papers authored by Lingyi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lingyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019224
2 201893
3 202075
4 201771
5 202351
6 201735
7 201932
8 202031
9 202025
10 202125
11 202223
12 202421
13 202021
14 202219
15 201716
16 202213
17 202312
18 202312
19 202110
20 202110

About Lingyi Tang

Lingyi Tang is a scholar working on Water Science and Technology, Pollution, Health, Toxicology and Mutagenesis, Environmental Chemistry and Biomaterials, having authored 35 papers that have together received 870 indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (8 papers), Heavy metals in environment (7 papers), Chromium effects and bioremediation (4 papers), Phosphorus and nutrient management (3 papers), Mine drainage and remediation techniques (3 papers), Clay minerals and soil interactions (3 papers), Microbial Applications in Construction Materials (3 papers) and Soil and Water Nutrient Dynamics (2 papers). The work is most often cited by research in Pollution (320 citations), Water Science and Technology (281 citations), Industrial and Manufacturing Engineering (123 citations), Geochemistry and Petrology (82 citations) and Health, Toxicology and Mutagenesis (181 citations). Lingyi Tang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhen Li, Mu Su, Da Tian, Haoming Chen, Shuijin Hu, Jiawen Zhang, Lin Zhang, Zhijun Wang, Yangfan Zheng and Fan Zhang. Their work appears in journals such as The Science of The Total Environment, Applied Microbiology and Biotechnology, Soil Use and Management, Environmental Pollution and Scientific Reports.

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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