Ting-Wei Wu

About

Ting-Wei Wu is a scholar working on Artificial Intelligence, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ting-Wei Wu has authored 26 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Health, Toxicology and Mutagenesis and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ting-Wei Wu’s work include Topic Modeling (4 papers), Municipal Solid Waste Management (3 papers) and Healthcare and Environmental Waste Management (3 papers). Ting-Wei Wu is often cited by papers focused on Topic Modeling (4 papers), Municipal Solid Waste Management (3 papers) and Healthcare and Environmental Waste Management (3 papers). Ting-Wei Wu collaborates with scholars based in Taiwan, United States and China. Ting-Wei Wu's co-authors include Hua Zhang, Pinjing He, Wei Peng, Fan Lü, Dong‐Her Shih, Ming‐Hung Shih, Liming Shao, Kang Wang, Ming‐Tsung Tseng and Biing‐Hwang Juang and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Co-authorship network of co-authors of Ting-Wei Wu i

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Fields of papers citing papers by Ting-Wei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting-Wei Wu

Since Specialization

Citations

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

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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