Jane Hung
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Cell Image Analysis Techniques 4
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- Image Processing Techniques and Applications 3
- Co-authors
- Anne E. Carpenter (3 shared papers)David Dao (1 shared paper)Shantanu Singh (1 shared paper)Vebjorn Ljosa (1 shared paper)Adam Fraser (1 shared paper)Jung‐Der Wang (1 shared paper)Chang‐Chuan Chan (1 shared paper)Ching‐Hua Lin (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Methods (1 paper)The Journal of Physical Chemistry C (1 paper)Journal of Chemical Theory and Computation (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jane Hung
8 papers receiving 371 citations
Peers
Comparison fields: 5 of 105
- Biophysics 152
- Media Technology 76
- Computer Vision and Pattern Recognition 59
- Structural Biology 4
- Health Informatics 3
Countries citing papers authored by Jane Hung
This map shows the geographic impact of Jane Hung'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 Jane Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Hung more than expected).
Fields of papers citing papers by Jane Hung
This network shows the impact of papers produced by Jane Hung. 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 Jane Hung. The network helps show where Jane Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Hung, 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 | 2018 | 92 | |
| 2 | 2016 | 87 | |
| 3 | 2016 | 73 | |
| 4 | 2020 | 52 | |
| 5 | 2006 | 46 | |
| 6 | 2010 | 24 | |
| 7 | 2010 | 6 | |
| 8 | KORTEX: An Expert Database System Shell for a Knowledge-Based Enity Relationship Model | 1989 | 2 |
About Jane Hung
Jane Hung is a scholar working on Biophysics, Media Technology, Molecular Biology, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 8 papers that have together received 382 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Single-cell and spatial transcriptomics (2 papers), Nonlinear Optical Materials Research (2 papers), Smoking Behavior and Cessation (1 paper), Digital Imaging for Blood Diseases (1 paper), Semantic Web and Ontologies (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Biophysics (152 citations), Media Technology (76 citations), Computer Vision and Pattern Recognition (59 citations), Structural Biology (4 citations) and Health Informatics (3 citations). Jane Hung has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Anne E. Carpenter, David Dao, Shantanu Singh, Vebjorn Ljosa, Adam Fraser, Jung‐Der Wang, Chang‐Chuan Chan, Ching‐Hua Lin, Paul Rees and Thomas Blasi. Their work appears in journals such as BMC Bioinformatics, Methods, The Journal of Physical Chemistry C, Journal of Chemical Theory and Computation and 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.