Cheng-Wei Chang
Impact in
- Biophysics top 10%
- Electromagnetic Fields and Biological Effects
Papers in
-
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 2
- Molecular Biology Techniques and Applications 2
- Gene Regulatory Network Analysis 2
- Co-authors
- Ian C. Hsu (10 shared papers)Wun‐Yi Shu (9 shared papers)Jorng‐Tzong Horng (9 shared papers)Min‐Lung Tsai (6 shared papers)Wei‐Chung Cheng (5 shared papers)Ta‐Jen Yen (5 shared papers)Tzu‐Hao Chang (5 shared papers)Chia‐Yang Li (4 shared papers)
- Journals
- PLoS ONE (12 papers)Scientific Reports (2 papers)BioMed Research International (1 paper)BMC Genomics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Cheng-Wei Chang
31 papers receiving 651 citations
Peers
Comparison fields: 5 of 132
- Biophysics 42
- Molecular Medicine 18
- Molecular Biology 232
- Electronic, Optical and Magnetic Materials 59
- Cancer Research 40
Countries citing papers authored by Cheng-Wei Chang
This map shows the geographic impact of Cheng-Wei Chang'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 Cheng-Wei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Wei Chang more than expected).
Fields of papers citing papers by Cheng-Wei Chang
This network shows the impact of papers produced by Cheng-Wei Chang. 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 Cheng-Wei Chang. The network helps show where Cheng-Wei Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng-Wei Chang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 113 | |
| 2 | 2015 | 50 | |
| 3 | 2011 | 46 | |
| 4 | 2014 | 37 | |
| 5 | 2016 | 35 | |
| 6 | 2012 | 34 | |
| 7 | 2017 | 34 | |
| 8 | 2014 | 30 | |
| 9 | 2014 | 29 | |
| 10 | 2010 | 28 | |
| 11 | 2014 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2014 | 22 | |
| 14 | 2013 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2012 | 21 | |
| 17 | 2012 | 19 | |
| 18 | 2014 | 13 | |
| 19 | 2016 | 11 | |
| 20 | 2012 | 8 |
About Cheng-Wei Chang
Cheng-Wei Chang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry and Strategy and Management, having authored 31 papers that have together received 656 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers), Plasmonic and Surface Plasmon Research (2 papers), Machine Learning in Bioinformatics (2 papers), Copper-based nanomaterials and applications (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Molecular Biology Techniques and Applications (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Biophysics (42 citations), Molecular Medicine (18 citations), Molecular Biology (232 citations), Electronic, Optical and Magnetic Materials (59 citations) and Cancer Research (40 citations). Cheng-Wei Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ian C. Hsu, Wun‐Yi Shu, Jorng‐Tzong Horng, Min‐Lung Tsai, Wei‐Chung Cheng, Ta‐Jen Yen, Tzu‐Hao Chang, Chia‐Yang Li, Victor C. Kok and Chun‐Ya Chiu. Their work appears in journals such as PLoS ONE, Scientific Reports, BioMed Research International, BMC Genomics and BMC 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.