Jinn‐Moon Yang
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
Papers in
-
- Computational Drug Discovery Methods 40
-
- Protein Structure and Dynamics 26
- Bioinformatics and Genomic Networks 25
- Machine Learning in Bioinformatics 11
- Co-authors
- Chun‐Chen ChenKai‐Cheng HsuYen‐Fu ChenChih-Chieh ChenCheng‐Yan KaoHuai‐Kuang TsaiC.-Y. KaoJ.-K. Hwang
- Journals
- Nucleic Acids Research (11 papers)BMC Bioinformatics (10 papers)Scientific Reports (8 papers)BMC Genomics (6 papers)Proteins Structure Function and Bioinformatics (5 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Jinn‐Moon Yang
152 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Computational Theory and Mathematics 894
- Molecular Biology 2.3k
- Organic Chemistry 568
- Infectious Diseases 358
- Toxicology 66
Countries citing papers authored by Jinn‐Moon Yang
This map shows the geographic impact of Jinn‐Moon Yang'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 Jinn‐Moon Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinn‐Moon Yang more than expected).
Fields of papers citing papers by Jinn‐Moon Yang
This network shows the impact of papers produced by Jinn‐Moon Yang. 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 Jinn‐Moon Yang. The network helps show where Jinn‐Moon Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinn‐Moon Yang, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 20 | |
| 6 | 2016 | 4 | |
| 7 | 2013 | 36 | |
| 8 | 2013 | 29 | |
| 9 | 2012 | 12 | |
| 10 | 2012 | 17 | |
| 11 | 2012 | 19 | |
| 12 | 2009 | 11 | |
| 13 | Anti-influenza drug discovery | 2007 | 1 |
| 14 | 2007 | 16 | |
| 15 | 2007 | 82 | |
| 16 | 2006 | 124 | |
| 17 | Finding Regularity in Various Types of Secondary Protein Structures | 2003 | 1 |
| 18 | Applying Genetic Algorithms To Finding The Optimal Gene Order In Displaying The Microarray Data | 2002 | 11 |
| 19 | A genetic algorithm for traveling salesman problems | 2001 | 21 |
| 20 | An evolutionary algorithm to training neural networks for a two-spiral problem | 2000 | 2 |
About Jinn‐Moon Yang
Jinn‐Moon Yang is a scholar working on Computational Theory and Mathematics, Molecular Biology, Aging, Pharmacology and Health Informatics, having authored 157 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (40 papers), Protein Structure and Dynamics (26 papers), Bioinformatics and Genomic Networks (25 papers), Metaheuristic Optimization Algorithms Research (16 papers), Evolutionary Algorithms and Applications (14 papers), Microbial Natural Products and Biosynthesis (12 papers), Machine Learning in Bioinformatics (11 papers) and Enzyme Structure and Function (11 papers). The work is most often cited by research in Computational Theory and Mathematics (894 citations), Molecular Biology (2.3k citations), Organic Chemistry (568 citations), Infectious Diseases (358 citations) and Toxicology (66 citations). Jinn‐Moon Yang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chun‐Chen Chen, Kai‐Cheng Hsu, Yen‐Fu Chen, Chih-Chieh Chen, Cheng‐Yan Kao, Huai‐Kuang Tsai, C.-Y. Kao, J.-K. Hwang, Jenn-Kang Hwang and D. Frank Hsu. Their work appears in journals such as Nucleic Acids Research, BMC Bioinformatics, Scientific Reports, BMC Genomics and Proteins Structure Function and 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.