Edward Ming‐Yang Wu

46 total papers · 455 total citations
34 papers, 358 citations indexed

About

Edward Ming‐Yang Wu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Edward Ming‐Yang Wu has authored 34 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 11 papers in Environmental Engineering and 6 papers in Water Science and Technology. Recurrent topics in Edward Ming‐Yang Wu's work include Air Quality and Health Impacts (10 papers), Air Quality Monitoring and Forecasting (6 papers) and Toxic Organic Pollutants Impact (5 papers). Edward Ming‐Yang Wu is often cited by papers focused on Air Quality and Health Impacts (10 papers), Air Quality Monitoring and Forecasting (6 papers) and Toxic Organic Pollutants Impact (5 papers). Edward Ming‐Yang Wu collaborates with scholars based in Taiwan, United States and Australia. Edward Ming‐Yang Wu's co-authors include Guo‐Ping Chang‐Chien, Lin‐Chi Wang, Johann A. Gagnon-Bartsch, Hsing-Wang Li, Chun‐Chi Chen, Kuo‐Lin Huang, Sheng‐Lun Lin, Wen‐Cheng Liu, Shui‐Jen Chen and Chitsan Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Water.

In The Last Decade

Edward Ming‐Yang Wu

30 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
Edward Ming‐Yang Wu 165 68 62 56 47 34 358
Barbora Švédová 125 0.8× 55 0.8× 85 1.4× 40 0.7× 94 2.0× 34 383
M. Rashid 84 0.5× 67 1.0× 32 0.5× 36 0.6× 22 0.5× 41 309
Yanjun Li 154 0.9× 26 0.4× 118 1.9× 80 1.4× 40 0.9× 36 399
Yen-Hsun Chuang 115 0.7× 97 1.4× 86 1.4× 51 0.9× 92 2.0× 17 380
David A. Bender 145 0.9× 117 1.7× 37 0.6× 70 1.3× 21 0.4× 27 391
Jiuhai Li 143 0.9× 63 0.9× 49 0.8× 67 1.2× 56 1.2× 20 338
Jieyu Liu 117 0.7× 61 0.9× 133 2.1× 23 0.4× 105 2.2× 24 384
Meng Jiang 70 0.4× 101 1.5× 39 0.6× 27 0.5× 45 1.0× 25 337
Venkata Sai Vamsi Botlaguduru 126 0.8× 78 1.1× 45 0.7× 114 2.0× 29 0.6× 15 355
Saadi K. Al‐Naseri 195 1.2× 92 1.4× 29 0.5× 43 0.8× 13 0.3× 28 396

Countries citing papers authored by Edward Ming‐Yang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Edward Ming‐Yang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Ming‐Yang 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 Edward Ming‐Yang Wu. The network helps show where Edward Ming‐Yang Wu may publish in the future.

Co-authorship network of co-authors of Edward Ming‐Yang Wu

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