Tianyi Zang
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Cancer Research
- Genetics
- Topics
- Bioinformatics and Genomic Networks (16 papers)Machine Learning in Bioinformatics (11 papers)Genomics and Phylogenetic Studies (10 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Tianyi Zang
62 papers receiving 905 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 610
- Computational Theory and Mathematics 255
- Artificial Intelligence 120
- Cancer Research 104
- Genetics 69
Countries citing papers authored by Tianyi Zang
This map shows the geographic impact of Tianyi Zang'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 Tianyi Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyi Zang more than expected).
Fields of papers citing papers by Tianyi Zang
This network shows the impact of papers produced by Tianyi Zang. 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 Tianyi Zang. The network helps show where Tianyi Zang may publish in the future.
Co-authorship network of co-authors of Tianyi Zang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianyi Zang. A scholar is included among the top collaborators of Tianyi Zang 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 Tianyi Zang. Tianyi Zang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 59 | |
| 5 | Identifying drug–target interactions based on graph convolutional network and deep neural networkbreakdown → | 228 |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 36 | |
| 12 | 6 | |
| 13 | 35 | |
| 14 | 10 | |
| 15 | 0 | |
| 16 | 7 | |
| 17 | Survey and comparison for Open and closed sources in cloud computing | 3 |
| 18 | Metamodel-driven SOA for collaborative e-science application | 2 |
| 19 | Alignment results of SOBOM for OAEI 2009 | 9 |
| 20 | 7 |
About Tianyi Zang
Tianyi Zang is a scholar working on Information Systems and Management, Molecular Biology and Cancer Research, having authored 65 papers that have together received 916 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Machine Learning in Bioinformatics (11 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Computational Theory and Mathematics (255 citations), Molecular Biology (610 citations) and Cancer Research (104 citations). Tianyi Zang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Tianyi Zhao, Jiajie Peng, Yang Hu, Linda R. Valsdottir, Yang Hu, Yadong Wang, Liang Cheng, Yadong Wang, Yao Lu and Rongjie Wang. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología 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.