Wei‐Chen Cheng
Impact in
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Neural Networks and Applications 7
- Topic Modeling 3
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- Fractal and DNA sequence analysis 4
- Machine Learning in Bioinformatics 3
- Co-authors
- Cheng‐Yuan Liou (16 shared papers)Jiun-Wei Liou (2 shared papers)Daw-Ran Liou (1 shared paper)William W‐G. Yeh (5 shared papers)Wen-Ming Cheng (3 shared papers)Nien‐Sheng Hsu (3 shared papers)Francesca M. Buffa (7 shared papers)Shih‐Rong Hsieh (1 shared paper)
- Journals
- Water Resources Research (4 papers)BJOG An International Journal of Obstetrics & Gynaecology (2 papers)Lecture notes in computer science (10 papers)JMIR mhealth and uhealth (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Wei‐Chen Cheng
41 papers receiving 876 citations
Wei‐Chen Cheng's Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 103
- Computer Vision and Pattern Recognition 136
- Ocean Engineering 87
- Artificial Intelligence 177
- Signal Processing 52
Countries citing papers authored by Wei‐Chen Cheng
This map shows the geographic impact of Wei‐Chen Cheng'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‐Chen Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Chen Cheng more than expected).
Fields of papers citing papers by Wei‐Chen Cheng
This network shows the impact of papers produced by Wei‐Chen Cheng. 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‐Chen Cheng. The network helps show where Wei‐Chen Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Chen Cheng, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Autoencoder for words Hit paper breakdown → | 2014 | 365 |
| 2 | 2019 | 104 | |
| 3 | 2014 | 47 | |
| 4 | 2008 | 41 | |
| 5 | 2021 | 33 | |
| 6 | 2008 | 31 | |
| 7 | 2014 | 29 | |
| 8 | 1971 | 23 | |
| 9 | 2009 | 22 | |
| 10 | 2019 | 20 | |
| 11 | 2011 | 18 | |
| 12 | 2008 | 17 | |
| 13 | 2003 | 14 | |
| 14 | 2003 | 13 | |
| 15 | 2022 | 11 | |
| 16 | 2015 | 11 | |
| 17 | 1967 | 11 | |
| 18 | 1966 | 10 | |
| 19 | 2011 | 9 | |
| 20 | 2019 | 9 |
About Wei‐Chen Cheng
Wei‐Chen Cheng is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Ocean Engineering and Signal Processing, having authored 44 papers that have together received 899 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Gestational Trophoblastic Disease Studies (4 papers), Fractal and DNA sequence analysis (4 papers), Blind Source Separation Techniques (3 papers), Topic Modeling (3 papers), Machine Learning in Bioinformatics (3 papers), Water resources management and optimization (3 papers) and Water-Energy-Food Nexus Studies (3 papers). The work is most often cited by research in Cancer Research (103 citations), Computer Vision and Pattern Recognition (136 citations), Ocean Engineering (87 citations), Artificial Intelligence (177 citations) and Signal Processing (52 citations). Wei‐Chen Cheng has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Cheng‐Yuan Liou, Jiun-Wei Liou, Daw-Ran Liou, William W‐G. Yeh, Wen-Ming Cheng, Nien‐Sheng Hsu, Francesca M. Buffa, Shih‐Rong Hsieh, Ying‐Ming Liou and Chih‐Chiang Wei. Their work appears in journals such as Water Resources Research, BJOG An International Journal of Obstetrics & Gynaecology, Lecture notes in computer science, JMIR mhealth and uhealth and Knowledge-Based 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.