Jerry Tang
Impact in
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- Lung Cancer Treatments and Mutations
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- Lung Cancer Research Studies
- Colorectal Cancer Treatments and Studies
Papers in
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- Advanced Control Systems Design 1
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- Robotic Path Planning Algorithms 3
- Co-authors
- Celina Sanchez Rivers (2 shared papers)Li Li (2 shared papers)Zora Modrušan (2 shared papers)Robert Soriano (1 shared paper)Ajay Pandita (1 shared paper)Yinghui Guan (1 shared paper)Eva Lin (1 shared paper)Sankar Mohan (1 shared paper)
- Journals
- IEEE Transactions on Robotics (2 papers)Proceedings of the National Academy of Sciences (1 paper)Molecular Cancer Research (1 paper)Frontiers in Robotics and AI (1 paper)Advanced Intelligent Systems (1 paper)
- Partner nations
- United StatesHong KongUkraine
In The Last Decade
Jerry Tang
7 papers receiving 323 citations
Peers
Comparison fields: 5 of 49
- Pulmonary and Respiratory Medicine 159
- Oncology 130
- Cancer Research 55
- Pathology and Forensic Medicine 51
- Molecular Biology 114
Countries citing papers authored by Jerry Tang
This map shows the geographic impact of Jerry Tang'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 Jerry Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry Tang more than expected).
Fields of papers citing papers by Jerry Tang
This network shows the impact of papers produced by Jerry Tang. 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 Jerry Tang. The network helps show where Jerry Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerry Tang, 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 | 2009 | 232 | |
| 2 | 2011 | 47 | |
| 3 | 2022 | 41 | |
| 4 | 2022 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 |
About Jerry Tang
Jerry Tang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Molecular Biology and Pathology and Forensic Medicine, having authored 8 papers that have together received 332 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Cancer Genomics and Diagnostics (1 paper), Advanced Control Systems Design (1 paper), Cell death mechanisms and regulation (1 paper), Underwater Vehicles and Communication Systems (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (159 citations), Oncology (130 citations), Cancer Research (55 citations), Pathology and Forensic Medicine (51 citations) and Molecular Biology (114 citations). Jerry Tang has collaborated with scholars based in United States, Hong Kong and Ukraine. Frequent co-authors include Celina Sanchez Rivers, Li Li, Zora Modrušan, Robert Soriano, Ajay Pandita, Yinghui Guan, Eva Lin, Sankar Mohan, Mark W. Mueller and Lukas C. Amler. Their work appears in journals such as IEEE Transactions on Robotics, Proceedings of the National Academy of Sciences, Molecular Cancer Research, Frontiers in Robotics and AI and Advanced Intelligent Systems.
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.