Julia Weng
Impact in
-
- Artificial Intelligence in Healthcare
-
- ECG Monitoring and Analysis
Papers in
-
- RNA modifications and cancer 2
- Ubiquitin and proteasome pathways 1
-
- Data Management and Algorithms 2
- Co-authors
- Tzong-Yi Lee (8 shared papers)Kai‐Yao Huang (7 shared papers)Lawrence Shih‐Hsin Wu (6 shared papers)Pei‐Chann Chang (1 shared paper)Jui-Chien Hsieh (1 shared paper)Jyun-Jie Lin (1 shared paper)Shih‐Wei Lee (3 shared papers)Shiva M. Singh (4 shared papers)
- Journals
- BioMed Research International (2 papers)Behavior Genetics (2 papers)Knowledge and Information Systems (2 papers)Alcoholism Clinical and Experimental Research (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- TaiwanCanadaSouth Korea
In The Last Decade
Julia Weng
19 papers receiving 507 citations
Peers
Comparison fields: 5 of 91
- Health Information Management 36
- Cardiology and Cardiovascular Medicine 91
- Infectious Diseases 57
- Molecular Biology 208
- Cognitive Neuroscience 57
Countries citing papers authored by Julia Weng
This map shows the geographic impact of Julia Weng'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 Julia Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Weng more than expected).
Fields of papers citing papers by Julia Weng
This network shows the impact of papers produced by Julia Weng. 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 Julia Weng. The network helps show where Julia Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Weng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 99 | |
| 2 | 2015 | 72 | |
| 3 | 2016 | 58 | |
| 4 | 2017 | 45 | |
| 5 | 2016 | 44 | |
| 6 | 2014 | 25 | |
| 7 | 2016 | 25 | |
| 8 | 2014 | 22 | |
| 9 | 2014 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2017 | 18 | |
| 12 | 2015 | 13 | |
| 13 | 2009 | 12 | |
| 14 | 2008 | 10 | |
| 15 | 2010 | 10 | |
| 16 | 2015 | 8 | |
| 17 | 2008 | 7 | |
| 18 | 2016 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2005 | 0 |
About Julia Weng
Julia Weng is a scholar working on Molecular Biology, Signal Processing, Cancer Research, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 520 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Data Mining Algorithms and Applications (2 papers), Data Management and Algorithms (2 papers), Tuberculosis Research and Epidemiology (2 papers), RNA modifications and cancer (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Biomarkers in Disease Mechanisms (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Health Information Management (36 citations), Cardiology and Cardiovascular Medicine (91 citations), Infectious Diseases (57 citations), Molecular Biology (208 citations) and Cognitive Neuroscience (57 citations). Julia Weng has collaborated with scholars based in Taiwan, Canada and South Korea. Frequent co-authors include Tzong-Yi Lee, Kai‐Yao Huang, Lawrence Shih‐Hsin Wu, Pei‐Chann Chang, Jui-Chien Hsieh, Jyun-Jie Lin, Shih‐Wei Lee, Shiva M. Singh, Tzu‐Hao Chang and Shun-Long Weng. Their work appears in journals such as BioMed Research International, Behavior Genetics, Knowledge and Information Systems, Alcoholism Clinical and Experimental Research and BMC Bioinformatics.
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.