Longhai Li
- Statistics and Probability top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Co-authors
- Weixin YaoFang‐Xiang WuWutao YinCindy FengAlireza SadeghpourAnthony KusalikMarwa FaragYongqing Gao
- Topics
- Statistical Methods and Bayesian Inference (10 papers)Statistical Methods and Inference (9 papers)Bayesian Methods and Mixture Models (6 papers)
- Cited by
- Statistics and ProbabilityPhysical Therapy, Sports Therapy and RehabilitationCognitive Neuroscience
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Longhai Li
36 papers receiving 547 citations
Peers
Comparison fields: 5 of 142
- Statistics and Probability 125
- Artificial Intelligence 103
- Molecular Biology 84
- Cognitive Neuroscience 71
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Longhai Li
This map shows the geographic impact of Longhai 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 Longhai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longhai Li more than expected).
Fields of papers citing papers by Longhai Li
This network shows the impact of papers produced by Longhai 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 Longhai Li. The network helps show where Longhai Li may publish in the future.
Co-authorship network of co-authors of Longhai Li
This figure shows the co-authorship network connecting the top 25 collaborators of Longhai Li. A scholar is included among the top collaborators of Longhai 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 Longhai Li. Longhai 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 | 3 | |
| 2 | 12 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 50 | |
| 8 | 71 | |
| 9 | 24 | |
| 10 | 14 | |
| 11 | 34 | |
| 12 | 43 | |
| 13 | Randomized Quantile Residuals: an Omnibus Model Diagnostic Tool with Unified Reference Distribution | 3 |
| 14 | 7 | |
| 15 | 20 | |
| 16 | Evaluation of airport aviation security based on combined weight | 2 |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 5 |
About Longhai Li
Longhai Li is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 568 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (9 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistics and Probability (125 citations), Physical Therapy, Sports Therapy and Rehabilitation (19 citations) and Cognitive Neuroscience (71 citations). Longhai Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Weixin Yao, Fang‐Xiang Wu, Wutao Yin, Cindy Feng, Alireza Sadeghpour, Anthony Kusalik, Marwa Farag, Yongqing Gao, Wenjie Sun and Jinhong Shi. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Scientific Reports.
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.