Jason T. L. Wang
- Artificial Intelligence top 2%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Dennis ShashaRosalba GiugnoTurki TurkiHaimin WangHao LiuChang LiuKaizhong ZhangZhi Wei
- Topics
- Solar and Space Plasma Dynamics (20 papers)RNA and protein synthesis mechanisms (14 papers)Machine Learning in Bioinformatics (10 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesCanadaSaudi Arabia
In The Last Decade
Jason T. L. Wang
87 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 482
- Molecular Biology 370
- Computer Vision and Pattern Recognition 311
- Signal Processing 250
- Computer Networks and Communications 221
Countries citing papers authored by Jason T. L. Wang
This map shows the geographic impact of Jason T. L. 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 Jason T. L. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. L. Wang more than expected).
Fields of papers citing papers by Jason T. L. Wang
This network shows the impact of papers produced by Jason T. L. 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 Jason T. L. Wang. The network helps show where Jason T. L. Wang may publish in the future.
Co-authorship network of co-authors of Jason T. L. Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jason T. L. Wang. A scholar is included among the top collaborators of Jason T. L. Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason T. L. Wang. Jason T. L. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 23 | |
| 19 | 98 | |
| 20 | Automated discovery of active motifs in multiple RNA secondary structures | 17 |
About Jason T. L. Wang
Jason T. L. Wang is a scholar working on Astronomy and Astrophysics, Signal Processing and Artificial Intelligence, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (20 papers), RNA and protein synthesis mechanisms (14 papers) and Machine Learning in Bioinformatics (10 papers). The work is most often cited by research in Signal Processing (250 citations), Computer Vision and Pattern Recognition (311 citations) and Artificial Intelligence (482 citations). Jason T. L. Wang has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Dennis Shasha, Rosalba Giugno, Turki Turki, Haimin Wang, Hao Liu, Chang Liu, Kaizhong Zhang, Zhi Wei, Peter A. Ng and Zhihang Hu. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.