Yuexu Jiang
- Topics
- Machine Learning in Bioinformatics (8 papers)Bioinformatics and Genomic Networks (8 papers)Protein Structure and Dynamics (6 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Yuexu Jiang
34 papers receiving 984 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 739
- Cancer Research 111
- Biophysics 72
- Artificial Intelligence 63
- Plant Science 62
Countries citing papers authored by Yuexu Jiang
This map shows the geographic impact of Yuexu Jiang'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 Yuexu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuexu Jiang more than expected).
Fields of papers citing papers by Yuexu Jiang
This network shows the impact of papers produced by Yuexu Jiang. 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 Yuexu Jiang. The network helps show where Yuexu Jiang may publish in the future.
Co-authorship network of co-authors of Yuexu Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuexu Jiang. A scholar is included among the top collaborators of Yuexu Jiang 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 Yuexu Jiang. Yuexu Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 20 | |
| 4 | 93 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesbreakdown → | 250 |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 69 | |
| 13 | 21 | |
| 14 | 29 | |
| 15 | 183 | |
| 16 | 23 | |
| 17 | 7 | |
| 18 | 26 | |
| 19 | 6 | |
| 20 | 19 |
About Yuexu Jiang
Yuexu Jiang is a scholar working on Aging, Nephrology and Health, Toxicology and Mutagenesis, having authored 35 papers that have together received 995 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (8 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Biophysics (72 citations), Molecular Biology (739 citations) and Cancer Research (111 citations). Yuexu Jiang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Dong Xu, Duolin Wang, Juexin Wang, Yuzhou Chang, Anjun Ma, Cankun Wang, Qin Ma, Ren Qi, Hongjun Fu and Jianting Gong. Their work appears in journals such as Nucleic Acids Research, Nature Communications 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.