Yuhan Liu
- Artificial Intelligence
- Information Systems top 10%
- Building and Construction top 10%
- Industrial and Manufacturing Engineering top 10%
- Computer Networks and Communications
- Co-authors
- Xingyu TaoPeter Kok-Yiu WongMoumita DasJack C.P. ChengKeyu ChenJiachen DuRuifeng XuYu Cao
- Topics
- Privacy-Preserving Technologies in Data (5 papers)Topic Modeling (4 papers)Privacy, Security, and Data Protection (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuhan Liu
19 papers receiving 209 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 79
- Information Systems 61
- Building and Construction 48
- Industrial and Manufacturing Engineering 34
- Computer Networks and Communications 32
Countries citing papers authored by Yuhan Liu
This map shows the geographic impact of Yuhan 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 Yuhan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhan Liu more than expected).
Fields of papers citing papers by Yuhan Liu
This network shows the impact of papers produced by Yuhan 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 Yuhan Liu. The network helps show where Yuhan Liu may publish in the future.
Co-authorship network of co-authors of Yuhan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhan Liu. A scholar is included among the top collaborators of Yuhan Liu 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 Yuhan Liu. Yuhan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 77 | |
| 14 | Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints | 1 |
| 15 | Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition | 2 |
| 16 | SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis | 0 |
| 17 | 42 | |
| 18 | Learning discrete distributions: user vs item-level privacy | 0 |
| 19 | Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition | 3 |
| 20 | Application of Equal Interval GM(1,1)Model in The Prediction of Mining Subsidence | 0 |
About Yuhan Liu
Yuhan Liu is a scholar working on Artificial Intelligence, Statistics and Probability and Information Systems, having authored 27 papers that have together received 216 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Topic Modeling (4 papers) and Privacy, Security, and Data Protection (3 papers). The work is most often cited by research in Building and Construction (48 citations), Industrial and Manufacturing Engineering (34 citations) and Information Systems (61 citations). Yuhan Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xingyu Tao, Peter Kok-Yiu Wong, Moumita Das, Jack C.P. Cheng, Keyu Chen, Jiachen Du, Ruifeng Xu, Yu Cao, Jun Gao and Wei Wang. Their work appears in journals such as Oecologia, Critical Reviews in Food Science and Nutrition and Automation in Construction.
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.