Liang Yan
- Biomedical Engineering
- Mechanical Engineering
- Computational Mechanics
- Statistics, Probability and Uncertainty top 10%
- Control and Systems Engineering
- Co-authors
- Xiaojun DuanKottakkaran Sooppy NisarDumitru BǎleanuIlyas KhanEl‐Sayed M. SherifSumera DeroHany S. AbdoJin Xu
- Topics
- Probabilistic and Robust Engineering Design (6 papers)Target Tracking and Data Fusion in Sensor Networks (5 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational MechanicsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaInformation SciencesComputer Physics Communications
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Liang Yan
29 papers receiving 185 citations
Peers
Comparison fields: 5 of 59
- Biomedical Engineering 78
- Mechanical Engineering 75
- Computational Mechanics 52
- Statistics, Probability and Uncertainty 30
- Control and Systems Engineering 29
Countries citing papers authored by Liang Yan
This map shows the geographic impact of Liang Yan'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 Liang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Yan more than expected).
Fields of papers citing papers by Liang Yan
This network shows the impact of papers produced by Liang Yan. 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 Liang Yan. The network helps show where Liang Yan may publish in the future.
Co-authorship network of co-authors of Liang Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Yan. A scholar is included among the top collaborators of Liang Yan 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 Liang Yan. Liang Yan 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 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 78 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | Fit Index of Partial Least Square(PLS)and its Application to the Customer Satisfaction Model | 3 |
About Liang Yan
Liang Yan is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 33 papers that have together received 193 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (6 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (30 citations), Computational Mechanics (52 citations) and Management Science and Operations Research (29 citations). Liang Yan has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Xiaojun Duan, Kottakkaran Sooppy Nisar, Dumitru Bǎleanu, Ilyas Khan, El‐Sayed M. Sherif, Sumera Dero, Hany S. Abdo, Jin Xu, Joseph S. Chen and Bowen Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Computer Physics Communications.
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.