Junwei Lu
- Statistics and Probability top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition
- Computational Mathematics top 2%
- Topics
- Statistical Methods and Inference (5 papers)Infrared Target Detection Methodologies (4 papers)Neural dynamics and brain function (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationBioinformatics
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Junwei Lu
33 papers receiving 386 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 125
- Artificial Intelligence 110
- Computational Mechanics 74
- Computer Vision and Pattern Recognition 57
- Computational Mathematics 54
Countries citing papers authored by Junwei Lu
This map shows the geographic impact of Junwei 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 Junwei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Lu more than expected).
Fields of papers citing papers by Junwei Lu
This network shows the impact of papers produced by Junwei 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 Junwei Lu. The network helps show where Junwei Lu may publish in the future.
Co-authorship network of co-authors of Junwei Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Junwei Lu. A scholar is included among the top collaborators of Junwei 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 Junwei Lu. Junwei 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 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization | 2 |
| 10 | 24 | |
| 11 | Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation | 1 |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 135 | |
| 16 | Post-regularization inference for time-varying nonparanormal graphical models | 5 |
| 17 | 65 | |
| 18 | A statistical analysis on the projection type applied in Huang Yu Quan Lan Tu | 1 |
| 19 | 2 | |
| 20 | A method of using segmentation of color images and shape factors with frontier rates to identify onion and weeds in field | 1 |
About Junwei Lu
Junwei Lu is a scholar working on Computational Mathematics, Health Informatics and Statistics and Probability, having authored 35 papers that have together received 396 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Infrared Target Detection Methodologies (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Computational Mathematics (54 citations), Statistics and Probability (125 citations) and Computational Mechanics (74 citations). Junwei Lu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Han Liu, Heather Battey, Ziwei Zhu, Jianqing Fan, Han Liu, Guang Cheng, Will Wei Sun, Mladen Kolar, Yi Lu and Han Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and 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.