Wei‐Chen Chen
Impact in
- Biotechnology top 5%
- Marine Sponges and Natural Products
-
- Traditional and Medicinal Uses of Annonaceae
Papers in
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- Advanced Clustering Algorithms Research 5
- Bayesian Methods and Mixture Models 5
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- Marine Sponges and Natural Products 4
- Co-authors
- Ranjan Maitra (6 shared papers)Lee‐Shing Fang (4 shared papers)Ping‐Jyun Sung (4 shared papers)Mei‐Ru Lin (2 shared papers)Jyh‐Horng Sheu (3 shared papers)Yu‐Pei Chen (3 shared papers)Chung‐Kuang Lu (1 shared paper)Michael Wehner (1 shared paper)
- Journals
- Technometrics (1 paper)Applied Optics (1 paper)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)Human Brain Mapping (1 paper)Journal of Statistical Software (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Wei‐Chen Chen
14 papers receiving 263 citations
Peers
Comparison fields: 5 of 68
- Biotechnology 111
- Biochemistry 27
- Statistics and Probability 28
- Artificial Intelligence 93
- Signal Processing 28
Countries citing papers authored by Wei‐Chen Chen
This map shows the geographic impact of Wei‐Chen Chen'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 Chen 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 Chen more than expected).
Fields of papers citing papers by Wei‐Chen Chen
This network shows the impact of papers produced by Wei‐Chen Chen. 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 Chen. The network helps show where Wei‐Chen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Chen Chen, 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 | 2012 | 84 | |
| 2 | 2005 | 65 | |
| 3 | 2004 | 28 | |
| 4 | Purification and characterization of a pectin lyase from Pythium splendens infected cucumber fruits | 1998 | 27 |
| 5 | 2011 | 17 | |
| 6 | 2005 | 13 | |
| 7 | 2013 | 9 | |
| 8 | MixSim: An R Package for Simulating Data to Study Performance of Clustering Algorithms | 2012 | 7 |
| 9 | One-Shot Learning with Memory-Augmented Neural Networks Using a 64-kbit, 118 GOPS/W RRAM-Based Non-Volatile Associative Memory | 2021 | 7 |
| 10 | EM Algorithm for Model-Based Clustering of Finite MixtureGaussian Distribution | 2015 | 5 |
| 11 | EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution [R package EMCluster version 0.2-12] | 2019 | 4 |
| 12 | 2023 | 1 | |
| 13 | Codon Usage Bias Fits | 2014 | 1 |
| 14 | 2005 | 1 | |
| 15 | 2025 | 0 | |
| 16 | Parallel Model-Based Clustering | 2014 | 0 |
| 17 | 2025 | 0 |
About Wei‐Chen Chen
Wei‐Chen Chen is a scholar working on Artificial Intelligence, Biotechnology, Electrical and Electronic Engineering, Organic Chemistry and Biochemistry, having authored 17 papers that have together received 269 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (5 papers), Bayesian Methods and Mixture Models (5 papers), Marine Sponges and Natural Products (4 papers), Synthetic Organic Chemistry Methods (2 papers), Traditional and Medicinal Uses of Annonaceae (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Advanced Fiber Optic Sensors (1 paper). The work is most often cited by research in Biotechnology (111 citations), Biochemistry (27 citations), Statistics and Probability (28 citations), Artificial Intelligence (93 citations) and Signal Processing (28 citations). Wei‐Chen Chen has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ranjan Maitra, Lee‐Shing Fang, Ping‐Jyun Sung, Mei‐Ru Lin, Jyh‐Horng Sheu, Yu‐Pei Chen, Chung‐Kuang Lu, Michael Wehner, David Pugmire and George Ostrouchov. Their work appears in journals such as Technometrics, Applied Optics, Statistical Analysis and Data Mining The ASA Data Science Journal, Human Brain Mapping and Journal of Statistical Software.
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.