Mary She

21 papers and 636 indexed citations i.

About

Mary She is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Mary She has authored 21 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 5 papers in Signal Processing. Recurrent topics in Mary She’s work include Image Retrieval and Classification Techniques (5 papers), Time Series Analysis and Forecasting (5 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Mary She is often cited by papers focused on Image Retrieval and Classification Techniques (5 papers), Time Series Analysis and Forecasting (5 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Mary She collaborates with scholars based in Australia, China and United States. Mary She's co-authors include Lingxue Kong, Abbas Z. Kouzani, Saeid Nahavandi, Jin Wang, Xiaodong She, Cheng‐Peng Li, Ludovic F. Dumée, Stephen C. Hawkins, Jürg A. Schütz and Mikel Duke and has published in prestigious journals such as Journal of Applied Polymer Science, Neurocomputing and Materials.

In The Last Decade

Co-authorship network of co-authors of Mary She i

Fields of papers citing papers by Mary She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mary She

Since Specialization
Citations

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