Yijia Zhang
- Artificial Intelligence top 1%
- Topic Modeling 47
- Natural Language Processing Techniques 21
- Advanced Text Analysis Techniques 15
- Machine Learning in Healthcare 13
- Biomaterials top 5%
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- Computational Drug Discovery Methods 32
- Health Informatics top 5%
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 47
- Bioinformatics and Genomic Networks 28
- Machine Learning in Bioinformatics 12
- Co-authors
- Hongfei LinZhihao YangZhiyong LuJian WangQingyu ChenZhicong YinWei ZhengHuile Gao
- Journals
- BMC Bioinformatics (10 papers)Expert Systems with Applications (8 papers)Journal of Biomedical Informatics (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yijia Zhang
186 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 183
- Artificial Intelligence 964
- Biomaterials 378
- Computational Theory and Mathematics 344
- Health Informatics 24
- Molecular Biology 1.2k
Countries citing papers authored by Yijia Zhang
This map shows the geographic impact of Yijia Zhang'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 Yijia Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yijia Zhang more than expected).
Fields of papers citing papers by Yijia Zhang
This network shows the impact of papers produced by Yijia Zhang. 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 Yijia Zhang. The network helps show where Yijia Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yijia Zhang, 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 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 68 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 18 | |
| 19 | 2021 | 25 | |
| 20 | 2020 | 5 |
About Yijia Zhang
Yijia Zhang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, having authored 208 papers that have together received 3.1k indexed citations. Recurring topics across this work include Topic Modeling (47 papers), Biomedical Text Mining and Ontologies (47 papers), Computational Drug Discovery Methods (32 papers), Bioinformatics and Genomic Networks (28 papers), Natural Language Processing Techniques (21 papers), Advanced Text Analysis Techniques (15 papers), Machine Learning in Healthcare (13 papers) and Machine Learning in Bioinformatics (12 papers). The work is most often cited by research in Artificial Intelligence (964 citations), Biomaterials (378 citations) and Computational Theory and Mathematics (344 citations). Yijia Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongfei Lin, Zhihao Yang, Zhiyong Lu, Jian Wang, Qingyu Chen, Zhicong Yin, Wei Zheng, Huile Gao, Guanlian Hu and Xi Cao. Their work appears in journals such as BMC Bioinformatics, Expert Systems with Applications, Journal of Biomedical Informatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Engineering Applications of Artificial Intelligence.
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.