Ruibo Liu
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- General Social Sciences top 5%
- Computational and Text Analysis Methods
Papers in
-
- Topic Modeling 7
- AI in cancer detection 5
- Hate Speech and Cyberbullying Detection 3
- Advanced Graph Neural Networks 3
- Co-authors
- Soroush VosoughiChenyan JiaJason WeiLili WangHe MaDevin BalkcomSiqi WangXia Zhou
- Journals
- BioMedical Engineering OnLine (2 papers)Scientific Reports (1 paper)Media and Communication (1 paper)ACM Transactions on Information Systems (1 paper)Physical and Engineering Sciences in Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ruibo Liu
28 papers receiving 297 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 22
- General Social Sciences 19
- Artificial Intelligence 177
- Human-Computer Interaction 22
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Ruibo Liu
This map shows the geographic impact of Ruibo Liu'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 Ruibo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruibo Liu more than expected).
Fields of papers citing papers by Ruibo Liu
This network shows the impact of papers produced by Ruibo Liu. 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 Ruibo Liu. The network helps show where Ruibo Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruibo Liu, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 35 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 42 | |
| 19 | 2020 | 2 | |
| 20 | 2016 | 5 |
About Ruibo Liu
Ruibo Liu is a scholar working on General Social Sciences, Artificial Intelligence, Communication, Computer Vision and Pattern Recognition and Software, having authored 33 papers that have together received 304 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Social Media and Politics (3 papers), Medical Image Segmentation Techniques (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Advanced Graph Neural Networks (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Health Informatics (22 citations), General Social Sciences (19 citations), Artificial Intelligence (177 citations), Human-Computer Interaction (22 citations) and Computer Vision and Pattern Recognition (50 citations). Ruibo Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Soroush Vosoughi, Chenyan Jia, Jason Wei, Lili Wang, He Ma, Devin Balkcom, Siqi Wang, Xia Zhou, Xinyu Feng and Ge Zhang. Their work appears in journals such as BioMedical Engineering OnLine, Scientific Reports, Media and Communication, ACM Transactions on Information Systems and Physical and Engineering Sciences in Medicine.
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.