Qing Zeng‐Treitler
- Artificial Intelligence top 2%
- Molecular Biology
- General Health Professions top 2%
- Health Information Management top 0.5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Sasikiran KandulaLong NgoRosa L. FigueroaHyeoneui KimSergey GoryachevBruce E. BrayAna KeselmanCatherine Arnott Smith
- Topics
- Biomedical Text Mining and Ontologies (26 papers)Machine Learning in Healthcare (22 papers)Topic Modeling (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe American Journal of MedicineEuropean Heart Journal
- Partner nations
- United StatesChileNorway
In The Last Decade
Qing Zeng‐Treitler
108 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 816
- Molecular Biology 470
- General Health Professions 468
- Health Information Management 228
- Radiology, Nuclear Medicine and Imaging 183
Countries citing papers authored by Qing Zeng‐Treitler
This map shows the geographic impact of Qing Zeng‐Treitler'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 Qing Zeng‐Treitler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Zeng‐Treitler more than expected).
Fields of papers citing papers by Qing Zeng‐Treitler
This network shows the impact of papers produced by Qing Zeng‐Treitler. 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 Qing Zeng‐Treitler. The network helps show where Qing Zeng‐Treitler may publish in the future.
Co-authorship network of co-authors of Qing Zeng‐Treitler
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Zeng‐Treitler. A scholar is included among the top collaborators of Qing Zeng‐Treitler 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 Qing Zeng‐Treitler. Qing Zeng‐Treitler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcome | 4 |
| 10 | Extracting frailty status for post surgical mortality prediction | 1 |
| 11 | Identification and Use of Frailty Indicators from Text to Examine Associations with Clinical Outcomes Among Patients with Heart Failure. | 30 |
| 12 | Ginkgo and Warfarin Interaction in a Large Veterans Administration Population. | 32 |
| 13 | 14 | |
| 14 | Differences in nationwide cohorts of acupuncture users identified using structured and free text medical records. | 7 |
| 15 | An Ensemble Approach for Expanding Queries | 1 |
| 16 | Predicting sample size required for classification performancebreakdown → | 353 |
| 17 | 11 | |
| 18 | 14 | |
| 19 | Electronic Medical Records for Discovery Research in Rheumatoid Arthritis | 1 |
| 20 | Making primarily professional terms more comprehensible to the lay audience. | 3 |
About Qing Zeng‐Treitler
Qing Zeng‐Treitler is a scholar working on Health Information Management, Health Informatics and Geriatrics and Gerontology, having authored 117 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (26 papers), Machine Learning in Healthcare (22 papers) and Topic Modeling (15 papers). The work is most often cited by research in Health Informatics (67 citations), Health Information Management (228 citations) and Medical Terminology (9 citations). Qing Zeng‐Treitler has collaborated with scholars based in United States, Chile and Norway. Frequent co-authors include Sasikiran Kandula, Long Ngo, Rosa L. Figueroa, Hyeoneui Kim, Sergey Goryachev, Bruce E. Bray, Ana Keselman, Catherine Arnott Smith, Alla Keselman and Yijun Shao. Their work appears in journals such as SHILAP Revista de lepidopterología, The American Journal of Medicine and European Heart Journal.
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.