Ruiyi Zhang
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Neurology top 10%
- Epidemiology
- Topics
- Topic Modeling (23 papers)Natural Language Processing Techniques (14 papers)Multimodal Machine Learning Applications (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsFrontiers in Immunology
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ruiyi Zhang
71 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 386
- Molecular Biology 296
- Computer Vision and Pattern Recognition 223
- Neurology 182
- Epidemiology 100
Countries citing papers authored by Ruiyi Zhang
This map shows the geographic impact of Ruiyi 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 Ruiyi Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiyi Zhang more than expected).
Fields of papers citing papers by Ruiyi Zhang
This network shows the impact of papers produced by Ruiyi 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 Ruiyi Zhang. The network helps show where Ruiyi Zhang may publish in the future.
Co-authorship network of co-authors of Ruiyi Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruiyi Zhang. A scholar is included among the top collaborators of Ruiyi Zhang 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 Ruiyi Zhang. Ruiyi Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | {EOSAFE}: Security Analysis of {EOSIO} Smart Contracts | 12 |
| 13 | 32 | |
| 14 | 8 | |
| 15 | Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. | 2 |
| 16 | Bayesian Meta Sampling for Fast Uncertainty Adaptation | 5 |
| 17 | Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning | 16 |
| 18 | Variational annealing of GANs: A Langevin perspective | 1 |
| 19 | A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. | 2 |
| 20 | Variational inference and model selection with generalized evidence bounds | 7 |
About Ruiyi Zhang
Ruiyi Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (13 papers). The work is most often cited by research in Health Informatics (23 citations), Artificial Intelligence (386 citations) and Neurology (182 citations). Ruiyi Zhang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include V. Wee Yong, Mengzhou Xue, Tong Yu, Ryan A. Rossi, Suliman Khan, Kaimin Wu, Sungchul Kim, Yanhui Lu, Yaobing Yao and Changyou Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Frontiers in Immunology.
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.