Shirly Wang

480 citations
4 papers · 179 indexed · h-index 4
Topics
Machine Learning in Healthcare (2 papers)Explainable Artificial Intelligence (XAI) (2 papers)Scientific Computing and Data Management (2 papers)
Journals
Science Translational MedicinearXiv (Cornell University)International Conference on Learning Representations

In The Last Decade

Shirly Wang

4 papers receiving 175 citations

Peers

Shirly Wang
Comparison fields: 5 of 88
  • Artificial Intelligence 81
  • Health Informatics 57
  • Radiology, Nuclear Medicine and Imaging 36
  • Health Information Management 23
  • Public Health, Environmental and Occupational Health 17
Replace Sonish Sivarajkumar with:
Sonish Sivarajkumar United States
Karlie R. Sharma United States
Seyedeh Neelufar Payrovnaziri United States
Zongming Zhang China
Kaleb Smith United States
Saeed Amal United States
Sum Yi Wong Hong Kong
Elisa Nguyen Netherlands
Zhuo Ran Cai United States
Isabella C. Wiest Germany
Shirly Wang relative to Sonish Sivarajkumar United States Sonish Sivarajkumar's profile →
Citations per field
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Sonish Sivarajkumar · 1×
Citations per year

Countries citing papers authored by Shirly Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shirly Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirly Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shirly Wang. A scholar is included among the top collaborators of Shirly 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 Shirly Wang. Shirly Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 151
2
Reproducibility in Machine Learning for Health
3
3 19
4 6

About Shirly Wang

Shirly Wang is a scholar working on Information Systems and Management, Linguistics and Language and Artificial Intelligence, having authored 4 papers that have together received 179 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Health Informatics (57 citations), Health Information Management (23 citations) and Artificial Intelligence (81 citations). Shirly Wang has collaborated with scholars based in Canada, United States and Indonesia. Frequent co-authors include Matthew B. A. McDermott, Marzyeh Ghassemi, Nikki Marinsek, Luca Foschini, Rajesh Ranganath, Gregory S. Ching, Tristan Naumann and Michael C. Hughes. Their work appears in journals such as Science Translational Medicine, arXiv (Cornell University) and International Conference on Learning Representations.

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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