Yuhua Li
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 5%
- Topics
- Complex Network Analysis Techniques (15 papers)Advanced Graph Neural Networks (12 papers)Topic Modeling (9 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsArtificial Intelligence
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuhua Li
90 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 140
- Atomic and Molecular Physics, and Optics 520
- Artificial Intelligence 397
- Materials Chemistry 368
- Electrical and Electronic Engineering 343
- Statistical and Nonlinear Physics 172
Countries citing papers authored by Yuhua Li
This map shows the geographic impact of Yuhua Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhua Li more than expected).
Fields of papers citing papers by Yuhua Li
This network shows the impact of papers produced by Yuhua Li. 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 Li. The network helps show where Yuhua Li may publish in the future.
Co-authorship network of co-authors of Yuhua Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Li. A scholar is included among the top collaborators of Yuhua Li 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 Li. Yuhua Li 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 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 67 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | Survey of Microblog and Chinese Microblog Information Processing | 3 |
| 18 | Matching Problem of Employee and Task Based on Individual and Cooperative Factors | 1 |
| 19 | Anti-Money Laundering System Architecture Under Distributed Heterogeneous Environment | 1 |
| 20 | Application of Fuzzy Synthetic Assessment in Safety Assessment of Traditional Wastes Landfill | 2 |
About Yuhua Li
Yuhua Li is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Advanced Graph Neural Networks (12 papers) and Topic Modeling (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (520 citations), Statistical and Nonlinear Physics (172 citations) and Artificial Intelligence (397 citations). Yuhua Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peixiang Lu, Ruixuan Li, Aiping Chen, Pengfei Lan, Xiwu Gu, Guang Yang, Wei Cao, Xuelin Wang, Hua Long and Xiangcheng Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, Physical Review A and Optics Express.
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.