Yu‐Chi Wang
Impact in
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- Cancer-related molecular mechanisms research
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- Hydrology and Watershed Management Studies
Papers in
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- Epigenetics and DNA Methylation 4
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- Cancer Genomics and Diagnostics 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Hwai-Shen Liu (5 shared papers)Rui Huang (5 shared papers)Tai‐Kuang Chao (8 shared papers)Po‐Hsuan Su (4 shared papers)Lin‐Yu Chen (3 shared papers)Mu-Hsien Yu (7 shared papers)Yu‐Chun Weng (3 shared papers)Shih‐Ming Huang (2 shared papers)
- Journals
- Hydrological Processes (3 papers)International Journal of Cancer (2 papers)Cancer Research (1 paper)Journal of Hydrology (1 paper)Computer Networks (1 paper)
- Partner nations
- TaiwanChinaUnited Kingdom
In The Last Decade
Yu‐Chi Wang
33 papers receiving 408 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 55
- Water Science and Technology 50
- Reproductive Medicine 28
- Global and Planetary Change 64
- Health Informatics 3
Countries citing papers authored by Yu‐Chi Wang
This map shows the geographic impact of Yu‐Chi Wang'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 Yu‐Chi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chi Wang more than expected).
Fields of papers citing papers by Yu‐Chi Wang
This network shows the impact of papers produced by Yu‐Chi Wang. 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 Yu‐Chi Wang. The network helps show where Yu‐Chi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Chi Wang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 32 | |
| 2 | 2012 | 31 | |
| 3 | 2002 | 30 | |
| 4 | 2019 | 29 | |
| 5 | 2017 | 27 | |
| 6 | 2009 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 1994 | 18 | |
| 9 | 2011 | 16 | |
| 10 | 2012 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 1995 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2008 | 12 | |
| 18 | 2024 | 11 | |
| 19 | 2008 | 9 | |
| 20 | 2018 | 9 |
About Yu‐Chi Wang
Yu‐Chi Wang is a scholar working on Molecular Biology, Cancer Research, Electrical and Electronic Engineering, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 415 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), Radio Frequency Integrated Circuit Design (3 papers), Hydrology and Watershed Management Studies (3 papers), AI in cancer detection (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Cancer Research (55 citations), Water Science and Technology (50 citations), Reproductive Medicine (28 citations), Global and Planetary Change (64 citations) and Health Informatics (3 citations). Yu‐Chi Wang has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Hwai-Shen Liu, Rui Huang, Tai‐Kuang Chao, Po‐Hsuan Su, Lin‐Yu Chen, Mu-Hsien Yu, Yu‐Chun Weng, Shih‐Ming Huang, Hung‐Cheng Lai and Ching‐Wei Wang. Their work appears in journals such as Hydrological Processes, International Journal of Cancer, Cancer Research, Journal of Hydrology and Computer Networks.
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.