Teng Wang

77 total papers · 3.4k total citations
55 papers, 2.6k citations indexed

About

Teng Wang is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Teng Wang has authored 55 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pollution, 18 papers in Industrial and Manufacturing Engineering and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Teng Wang's work include Microplastics and Plastic Pollution (24 papers), Recycling and Waste Management Techniques (18 papers) and biodegradable polymer synthesis and properties (9 papers). Teng Wang is often cited by papers focused on Microplastics and Plastic Pollution (24 papers), Recycling and Waste Management Techniques (18 papers) and biodegradable polymer synthesis and properties (9 papers). Teng Wang collaborates with scholars based in China, United States and Maldives. Teng Wang's co-authors include Lixin Zhu, Shiye Zhao, Daoji Li, Xinqing Zou, Hong Liao, Wenwen Yu, Yali Li, Yulong Yao, Zheng Zang and Chenglong Wang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Teng Wang

51 papers receiving 2.6k citations

Hit Papers

Suspended microplastics i... 2014 2026 2018 2022 2014 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Teng Wang 1.9k 1.5k 508 259 228 55 2.6k
Xiaowei Wu 2.6k 1.4× 1.9k 1.3× 817 1.6× 301 1.2× 353 1.5× 64 3.6k
Cécile Grosbois 1.9k 1.0× 852 0.6× 362 0.7× 263 1.0× 435 1.9× 54 2.8k
Hua Zhang 2.2k 1.2× 1.5k 1.0× 449 0.9× 263 1.0× 271 1.2× 63 3.4k
James Rothwell 1.9k 1.0× 1.1k 0.8× 371 0.7× 326 1.3× 584 2.6× 65 3.6k
Hasintha Wijesekara 1.8k 0.9× 1.1k 0.7× 415 0.8× 271 1.0× 498 2.2× 45 3.2k
Dongdong Zhang 1.5k 0.8× 863 0.6× 334 0.7× 123 0.5× 283 1.2× 74 2.4k
Shanshan Zhang 1.6k 0.9× 658 0.4× 262 0.5× 162 0.6× 616 2.7× 79 2.6k
Xiaoning Liu 3.0k 1.6× 2.8k 1.9× 859 1.7× 626 2.4× 412 1.8× 97 4.9k
Prabhakar Sharma 2.3k 1.2× 1.7k 1.1× 596 1.2× 1.0k 3.9× 389 1.7× 128 4.6k
Lingshi Yin 2.4k 1.3× 1.7k 1.1× 665 1.3× 231 0.9× 213 0.9× 45 3.1k

Countries citing papers authored by Teng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Teng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Teng Wang. A scholar is included among the top collaborators of Teng Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teng Wang. Teng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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