Lina Wu

31 total papers · 953 total citations
27 papers, 805 citations indexed

About

Lina Wu is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Lina Wu has authored 27 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pollution, 9 papers in Industrial and Manufacturing Engineering and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Lina Wu's work include Wastewater Treatment and Nitrogen Removal (18 papers), Constructed Wetlands for Wastewater Treatment (8 papers) and Water Treatment and Disinfection (8 papers). Lina Wu is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (18 papers), Constructed Wetlands for Wastewater Treatment (8 papers) and Water Treatment and Disinfection (8 papers). Lina Wu collaborates with scholars based in China, United States and Czechia. Lina Wu's co-authors include Yongzhen Peng, Yudong Huang, Shan Huang, Jin Li, Zhi Li, Zaixing Jiang, Zhijiang Wang, Li Liu, Dawei Liang and Xiao Shi and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Lina Wu

25 papers receiving 797 citations

Author Peers

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

Author Last Decade Papers Cites
Lina Wu 423 188 161 160 158 27 805
Mingsheng Jia 329 0.8× 179 1.0× 121 0.8× 213 1.3× 87 0.6× 41 789
Junhao Shen 268 0.6× 96 0.5× 95 0.6× 87 0.5× 130 0.8× 56 877
Yu‐Xia Song 486 1.1× 272 1.4× 367 2.3× 62 0.4× 229 1.4× 23 902
Mark W. Fitch 340 0.8× 93 0.5× 227 1.4× 129 0.8× 87 0.6× 35 1.0k
Hao Xu 188 0.4× 95 0.5× 247 1.5× 135 0.8× 78 0.5× 32 784
Yuting Pan 282 0.7× 104 0.6× 447 2.8× 99 0.6× 96 0.6× 36 964
Dana Pokorná 330 0.8× 83 0.4× 83 0.5× 175 1.1× 73 0.5× 30 904
Wenjing Xia 180 0.4× 131 0.7× 142 0.9× 43 0.3× 94 0.6× 45 746
Zhixing Xiao 337 0.8× 68 0.4× 132 0.8× 44 0.3× 113 0.7× 43 879
Xiaowei Wang 339 0.8× 198 1.1× 50 0.3× 122 0.8× 89 0.6× 42 738

Countries citing papers authored by Lina Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lina Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Wu. A scholar is included among the top collaborators of Lina Wu 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 Lina Wu. Lina Wu 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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