Yi Lu
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 1%
- Molecular Biology
- Demography top 2%
- Oncology top 10%
- Co-authors
- Shuanming LiRamesh JainM. ShridharGuozhi XiaoJosé GarridoZhi YaoDaniel M. BoltJian Zhang
- Topics
- Probability and Risk Models (26 papers)Insurance, Mortality, Demography, Risk Management (15 papers)Statistical Distribution Estimation and Applications (11 papers)
- Cited by
- Management Science and Operations ResearchComputer Vision and Pattern RecognitionMedia Technology
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceBiomaterials
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yi Lu
98 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 178
- Computer Vision and Pattern Recognition 504
- Management Science and Operations Research 413
- Molecular Biology 408
- Demography 266
- Oncology 262
Countries citing papers authored by Yi Lu
This map shows the geographic impact of Yi Lu'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 Yi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Lu more than expected).
Fields of papers citing papers by Yi Lu
This network shows the impact of papers produced by Yi Lu. 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 Yi Lu. The network helps show where Yi Lu may publish in the future.
Co-authorship network of co-authors of Yi Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Yi Lu. A scholar is included among the top collaborators of Yi Lu 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 Yi Lu. Yi Lu 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 7 | |
| 9 | 85 | |
| 10 | 24 | |
| 11 | 34 | |
| 12 | 50 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 29 | |
| 17 | 158 | |
| 18 | Some Optimal Dividend Problems in aMarkov-modulated Risk Model | 6 |
| 19 | 27 | |
| 20 | 2 |
About Yi Lu
Yi Lu is a scholar working on Management Science and Operations Research, Statistics and Probability and Finance, having authored 101 papers that have together received 2.2k indexed citations. Recurring topics across this work include Probability and Risk Models (26 papers), Insurance, Mortality, Demography, Risk Management (15 papers) and Statistical Distribution Estimation and Applications (11 papers). The work is most often cited by research in Management Science and Operations Research (413 citations), Computer Vision and Pattern Recognition (504 citations) and Media Technology (215 citations). Yi Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shuanming Li, Ramesh Jain, M. Shridhar, Guozhi Xiao, José Garrido, Zhi Yao, Daniel M. Bolt, Jian Zhang, Mona F. Melhem and Deborah L. Galson. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biomaterials.
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.