Yuhua Liu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Changbo WangZhiguang ZhouMin HanWei GuoFang HuKaihua XuXiaoke HuHui Wang
- Topics
- Data Visualization and Analytics (32 papers)Complex Network Analysis Techniques (31 papers)Peer-to-Peer Network Technologies (17 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yuhua Liu
97 papers receiving 759 citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 180
- Artificial Intelligence 175
- Computer Networks and Communications 160
- Statistical and Nonlinear Physics 130
- Electrical and Electronic Engineering 99
Countries citing papers authored by Yuhua Liu
This map shows the geographic impact of Yuhua 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 Yuhua Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhua Liu more than expected).
Fields of papers citing papers by Yuhua Liu
This network shows the impact of papers produced by Yuhua 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 Yuhua Liu. The network helps show where Yuhua Liu may publish in the future.
Co-authorship network of co-authors of Yuhua Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Liu. A scholar is included among the top collaborators of Yuhua 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 Yuhua Liu. Yuhua 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | Investigating the Relationship between Vocabulary and Academic Reading Comprehension in CET4 | 1 |
| 18 | Study on application of the method of determining index weights based on trapezoidal fuzzy numbers | 2 |
| 19 | Clustering algorithm based on power for WSNs | 1 |
| 20 | Empirical tests of CAPM on Shenzhen's stock market | 0 |
About Yuhua Liu
Yuhua Liu is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 112 papers that have together received 810 indexed citations. Recurring topics across this work include Data Visualization and Analytics (32 papers), Complex Network Analysis Techniques (31 papers) and Peer-to-Peer Network Technologies (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (130 citations), Computer Vision and Pattern Recognition (180 citations) and Computer Networks and Communications (160 citations). Yuhua Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Changbo Wang, Zhiguang Zhou, Min Han, Wei Guo, Fang Hu, Kaihua Xu, Xiaoke Hu, Hui Wang, Lin Meng and Weiwei Chen. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Chemical Engineering Journal and Chemosphere.
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.