Yingbo Cui
Impact in
- Aging top 10%
Papers in
-
- Genomics and Phylogenetic Studies 10
- CRISPR and Genetic Engineering 5
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 3
- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 2
-
- Algorithms and Data Compression 7
- Co-authors
- Shaoliang Peng (14 shared papers)Xiangke Liao (11 shared papers)Jiaming Xu (1 shared paper)Wei Li (2 shared papers)Wubing Zhang (2 shared papers)Feizhen Wu (1 shared paper)X. Shirley Liu (1 shared paper)Ziyi Li (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Advanced Science (1 paper)Genome biology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yingbo Cui
19 papers receiving 537 citations
Peers
Comparison fields: 5 of 81
- Aging 22
- Business and International Management 22
- Molecular Biology 418
- Oncology 56
- Genetics 51
Countries citing papers authored by Yingbo Cui
This map shows the geographic impact of Yingbo Cui'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 Yingbo Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingbo Cui more than expected).
Fields of papers citing papers by Yingbo Cui
This network shows the impact of papers produced by Yingbo Cui. 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 Yingbo Cui. The network helps show where Yingbo Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingbo Cui, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 255 | |
| 2 | 2018 | 175 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 14 | |
| 6 | 2017 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 5 | |
| 10 | 2025 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 0 |
About Yingbo Cui
Yingbo Cui is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 539 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Algorithms and Data Compression (7 papers), CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (3 papers), Parallel Computing and Optimization Techniques (3 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Chromatin Dynamics (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Aging (22 citations), Business and International Management (22 citations), Molecular Biology (418 citations), Oncology (56 citations) and Genetics (51 citations). Yingbo Cui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shaoliang Peng, Xiangke Liao, Jiaming Xu, Wei Li, Wubing Zhang, Feizhen Wu, X. Shirley Liu, Ziyi Li, Xiaoqing Wang and Nicole Traugh. Their work appears in journals such as BMC Bioinformatics, Advanced Science, Genome biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Nucleic Acids Research.
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.