Wei‐Hung Weng
- Artificial Intelligence top 1%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Informatics top 0.5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Matthew B. A. McDermottJohn R. MurphyTristan NaumannEmily AlsentzerWilliam BoagPeter SzolovitsHanyi FangDi Jin
- Topics
- Topic Modeling (6 papers)Natural Language Processing Techniques (5 papers)Advanced Fluorescence Microscopy Techniques (3 papers)
- Journals
- CellNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesTaiwanSingapore
In The Last Decade
Wei‐Hung Weng
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 1.1k
- Molecular Biology 419
- Radiology, Nuclear Medicine and Imaging 232
- Health Informatics 185
- Computer Vision and Pattern Recognition 130
Countries citing papers authored by Wei‐Hung Weng
This map shows the geographic impact of Wei‐Hung 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 Wei‐Hung Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Hung Weng more than expected).
Fields of papers citing papers by Wei‐Hung Weng
This network shows the impact of papers produced by Wei‐Hung 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 Wei‐Hung Weng. The network helps show where Wei‐Hung Weng may publish in the future.
Co-authorship network of co-authors of Wei‐Hung Weng
This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Hung Weng. A scholar is included among the top collaborators of Wei‐Hung Weng 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 Wei‐Hung Weng. Wei‐Hung Weng 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 | 6 | |
| 3 | 6 | |
| 4 | 100 | |
| 5 | 3 | |
| 6 | 152 | |
| 7 | 3 | |
| 8 | Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging | 7 |
| 9 | 16 | |
| 10 | 22 | |
| 11 | Publicly Available Clinicalbreakdown → | 781 |
| 12 | Clinically Accurate Chest X-Ray Report Generation. | 16 |
| 13 | Park: An Open Platform for Learning-Augmented Computer Systems | 39 |
| 14 | 15 | |
| 15 | 7 | |
| 16 | Unsupervised cross-modal alignment of speech and text embedding spaces | 13 |
| 17 | 103 | |
| 18 | 26 | |
| 19 | 20 | |
| 20 | 1 |
About Wei‐Hung Weng
Wei‐Hung Weng is a scholar working on Health Informatics, Biophysics and Artificial Intelligence, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Health Informatics (185 citations), Artificial Intelligence (1.1k citations) and Health Information Management (120 citations). Wei‐Hung Weng has collaborated with scholars based in United States, Taiwan and Singapore. Frequent co-authors include Matthew B. A. McDermott, John R. Murphy, Tristan Naumann, Emily Alsentzer, William Boag, Peter Szolovits, Hanyi Fang, Di Jin, Nassim Oufattole and Eileen Pan. Their work appears in journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.
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.