Yuqi Wang
Impact in
- Biochemistry top 10%
- Sulfur Compounds in Biology
Papers in
-
- Machine Learning in Bioinformatics 3
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 3
- Gene expression and cancer classification 2
- Gut microbiota and health 2
-
- Non-Invasive Vital Sign Monitoring 2
- Co-authors
- Deju Ye (4 shared papers)Hao Li (5 shared papers)Lei Wang (5 shared papers)Luyan Wu (3 shared papers)Hong‐Yuan Chen (3 shared papers)Xiang Feng (2 shared papers)Yidan Sun (2 shared papers)Takashi Harimoto (2 shared papers)
- Journals
- Angewandte Chemie International Edition (2 papers)Frontiers in Microbiology (2 papers)Social Psychiatry and Psychiatric Epidemiology (1 paper)Journal of Visual Communication and Image Representation (1 paper)Chemical Science (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yuqi Wang
23 papers receiving 398 citations
Peers
Comparison fields: 5 of 91
- Biochemistry 55
- Periodontics 14
- Biomedical Engineering 114
- Automotive Engineering 29
- Molecular Biology 150
Countries citing papers authored by Yuqi Wang
This map shows the geographic impact of Yuqi 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 Yuqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuqi Wang more than expected).
Fields of papers citing papers by Yuqi Wang
This network shows the impact of papers produced by Yuqi 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 Yuqi Wang. The network helps show where Yuqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuqi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2021 | 45 | |
| 3 | 2020 | 39 | |
| 4 | 2021 | 37 | |
| 5 | 2019 | 35 | |
| 6 | 2017 | 31 | |
| 7 | 2022 | 24 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 19 | |
| 10 | 2021 | 15 | |
| 11 | 2016 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2024 | 9 | |
| 14 | 2010 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Yuqi Wang
Yuqi Wang is a scholar working on Molecular Biology, Biomedical Engineering, Biochemistry, Artificial Intelligence and Cancer Research, having authored 26 papers that have together received 402 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (4 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Gene expression and cancer classification (2 papers), Gut microbiota and health (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Biochemistry (55 citations), Periodontics (14 citations), Biomedical Engineering (114 citations), Automotive Engineering (29 citations) and Molecular Biology (150 citations). Yuqi Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Deju Ye, Hao Li, Lei Wang, Luyan Wu, Hong‐Yuan Chen, Xiang Feng, Yidan Sun, Takashi Harimoto, Yuxuan Hu and Yusuke Ishigaki. Their work appears in journals such as Angewandte Chemie International Edition, Frontiers in Microbiology, Social Psychiatry and Psychiatric Epidemiology, Journal of Visual Communication and Image Representation and Chemical Science.
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.