Longhai Li
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in
-
- Statistical Methods and Bayesian Inference 10
- Statistical Methods and Inference 9
- Advanced Statistical Methods and Models 5
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- Bayesian Methods and Mixture Models 6
- Co-authors
- Weixin Yao (5 shared papers)Fang‐Xiang Wu (3 shared papers)Wutao Yin (3 shared papers)Cindy Feng (8 shared papers)Alireza Sadeghpour (2 shared papers)Anthony Kusalik (2 shared papers)Yongqing Gao (1 shared paper)Wenjie Sun (1 shared paper)
- Journals
- Journal of Statistical Computation and Simulation (3 papers)Electronics (2 papers)Neurocomputing (2 papers)Scandinavian Journal of Statistics (2 papers)BMC Bioinformatics (2 papers)
- 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
- Physical Therapy, Sports Therapy and Rehabilitation 19
- Cognitive Neuroscience 71
- Statistics, Probability and Uncertainty 26
- Artificial Intelligence 103
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-authors
The 25 scholars most cited alongside Longhai Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 140 | |
| 2 | 2020 | 71 | |
| 3 | 2020 | 50 | |
| 4 | 2018 | 43 | |
| 5 | 2019 | 34 | |
| 6 | 2022 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2015 | 20 | |
| 9 | 2020 | 14 | |
| 10 | 2023 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2008 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2012 | 7 | |
| 20 | 2008 | 5 |
About Longhai Li
Longhai Li is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Genetics, 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), Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (5 papers), Robotic Path Planning Algorithms (4 papers), Genetic and phenotypic traits in livestock (3 papers), Economic and Environmental Valuation (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Statistics and Probability (125 citations), Physical Therapy, Sports Therapy and Rehabilitation (19 citations), Cognitive Neuroscience (71 citations), Statistics, Probability and Uncertainty (26 citations) and Artificial Intelligence (103 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, Yongqing Gao, Wenjie Sun, Marwa Farag and Jinhong Shi. Their work appears in journals such as Journal of Statistical Computation and Simulation, Electronics, Neurocomputing, Scandinavian Journal of Statistics and BMC Bioinformatics.
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.