Danny T Y Wu
- General Health Professions top 10%
- Health Information Management top 2%
- Public Health, Environmental and Occupational Health
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Kai ZhengQiaozhu MeiDavid A. HanauerV. G. Vinod VydiswaranRobert J. PonecTeresa A. BrentnallShie-Pon TzungPaul H. Baehr
- Topics
- Electronic Health Records Systems (10 papers)Biomedical Text Mining and Ontologies (8 papers)Mobile Health and mHealth Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Obstetrics and GynecologyObstetrics and Gynecology
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Danny T Y Wu
48 papers receiving 470 citations
Peers
Comparison fields: 5 of 116
- General Health Professions 137
- Health Information Management 93
- Public Health, Environmental and Occupational Health 92
- Artificial Intelligence 90
- Molecular Biology 51
Countries citing papers authored by Danny T Y Wu
This map shows the geographic impact of Danny T Y 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 Danny T Y Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny T Y Wu more than expected).
Fields of papers citing papers by Danny T Y Wu
This network shows the impact of papers produced by Danny T Y 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 Danny T Y Wu. The network helps show where Danny T Y Wu may publish in the future.
Co-authorship network of co-authors of Danny T Y Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Danny T Y Wu. A scholar is included among the top collaborators of Danny T Y 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 Danny T Y Wu. Danny T Y Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 17 | |
| 11 | 12 | |
| 12 | Retrieving Scientific Abstracts using Venue- and Concept-based Approaches: CincyMedIR at TREC 2019 Precision Medicine Track. | 1 |
| 13 | 18 | |
| 14 | 15 | |
| 15 | 36 | |
| 16 | Retrieving scientific abstracts iteratively: MedIER at TREC 2018 Precision Medicine Track. | 1 |
| 17 | Retrieving documents based on gene name variations: MedIER at TREC 2017 Precision Medicine Track. | 1 |
| 18 | Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track. | 2 |
| 19 | 1 | |
| 20 | 52 |
About Danny T Y Wu
Danny T Y Wu is a scholar working on Health Information Management, Issues, ethics and legal aspects and Family Practice, having authored 51 papers that have together received 480 indexed citations. Recurring topics across this work include Electronic Health Records Systems (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Mobile Health and mHealth Applications (8 papers). The work is most often cited by research in Health Information Management (93 citations), Health Informatics (22 citations) and Issues, ethics and legal aspects (20 citations). Danny T Y Wu has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Kai Zheng, Qiaozhu Mei, David A. Hanauer, V. G. Vinod Vydiswaran, Robert J. Ponec, Teresa A. Brentnall, Shie-Pon Tzung, Paul H. Baehr, Rahul Kuver and George B. McDonald. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Obstetrics and Gynecology and Obstetrics and Gynecology.
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.