Joyce C. Ho
Impact in
- Computational Mathematics top 0.5%
- Tensor decomposition and applications
-
- Artificial Intelligence in Healthcare
Papers in
-
- Tensor decomposition and applications 18
- Co-authors
- Joydeep GhoshJimeng SunBradley MalinJoshua C. DennyWalter F. StewartSteven R. SteinhublBarbara J. AndersonJulienne Brackett
- Journals
- Journal of Biomedical Informatics (3 papers)Computers in Biology and Medicine (2 papers)BioScience (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Diabetes Technology & Therapeutics (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Joyce C. Ho
69 papers receiving 870 citations
Peers
Comparison fields: 5 of 117
- Computational Mathematics 218
- Health Information Management 139
- Health Informatics 30
- Artificial Intelligence 495
- Issues, ethics and legal aspects 9
Countries citing papers authored by Joyce C. Ho
This map shows the geographic impact of Joyce C. Ho'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 Joyce C. Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joyce C. Ho more than expected).
Fields of papers citing papers by Joyce C. Ho
This network shows the impact of papers produced by Joyce C. Ho. 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 Joyce C. Ho. The network helps show where Joyce C. Ho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joyce C. Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 21 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 21 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 5 | |
| 18 | DYNACARE: Dynamic Cardiac Arrest Risk Estimation | 2013 | 2 |
| 19 | An imputation-enhanced algorithm for ICU mortality prediction | 2012 | 10 |
| 20 | 1998 | 57 |
About Joyce C. Ho
Joyce C. Ho is a scholar working on Computational Mathematics, Issues, ethics and legal aspects, Health Information Management, Occupational Therapy and Artificial Intelligence, having authored 77 papers that have together received 892 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (27 papers), Topic Modeling (18 papers), Tensor decomposition and applications (18 papers), Biomedical Text Mining and Ontologies (16 papers), Artificial Intelligence in Healthcare (6 papers), Pressure Ulcer Prevention and Management (6 papers), Advanced Text Analysis Techniques (6 papers) and Sepsis Diagnosis and Treatment (6 papers). The work is most often cited by research in Computational Mathematics (218 citations), Health Information Management (139 citations), Health Informatics (30 citations), Artificial Intelligence (495 citations) and Issues, ethics and legal aspects (9 citations). Joyce C. Ho has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Joydeep Ghosh, Jimeng Sun, Bradley Malin, Joshua C. Denny, Walter F. Stewart, Steven R. Steinhubl, Barbara J. Anderson, Julienne Brackett, Cheng H. Lee and Lori M. Laffel. Their work appears in journals such as Journal of Biomedical Informatics, Computers in Biology and Medicine, BioScience, IEEE Transactions on Knowledge and Data Engineering and Diabetes Technology & Therapeutics.
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.