Tianyi Zang
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- Computational Drug Discovery Methods 6
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- Bioinformatics and Genomic Networks 16
- Machine Learning in Bioinformatics 11
- Genomics and Phylogenetic Studies 10
- Metabolomics and Mass Spectrometry Studies 6
- Gene expression and cancer classification 6
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- Cancer-related molecular mechanisms research 5
- Artificial Intelligence top 10%
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- Distributed and Parallel Computing Systems 8
- Journals
- Nucleic Acids Research (2 papers)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Tianyi Zang
62 papers receiving 905 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 255
- Molecular Biology 610
- Cancer Research 104
- Artificial Intelligence 120
- Health Informatics 5
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
The 25 scholars most cited alongside Tianyi Zang, 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 | 2023 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 59 | |
| 5 | Identifying drug–target interactions based on graph convolutional network and deep neural networkbreakdown → | 2020 | 228 |
| 6 | 2020 | 4 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 36 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 35 | |
| 14 | 2017 | 10 | |
| 15 | 2015 | 0 | |
| 16 | 2014 | 7 | |
| 17 | Survey and comparison for Open and closed sources in cloud computing | 2012 | 3 |
| 18 | Metamodel-driven SOA for collaborative e-science application | 2011 | 2 |
| 19 | Alignment results of SOBOM for OAEI 2009 | 2009 | 9 |
| 20 | 2004 | 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), Genomics and Phylogenetic Studies (10 papers), Distributed and Parallel Computing Systems (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Gene expression and cancer classification (6 papers), Computational Drug Discovery Methods (6 papers) and Cancer-related molecular mechanisms research (5 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.