Junwei Lu
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Statistical Methods and Inference 5
- Co-authors
- Han Liu (2 shared papers)Ziwei Zhu (1 shared paper)Heather Battey (1 shared paper)Jianqing Fan (1 shared paper)Guang Cheng (1 shared paper)Will Wei Sun (1 shared paper)Han Liu (1 shared paper)Yi Lu (2 shared papers)
- Journals
- Journal of the American Statistical Association (3 papers)IEEE Transactions on Information Theory (3 papers)Operations Research (1 paper)Journal of Biomedical Informatics (1 paper)Neurocomputing (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Junwei Lu
34 papers receiving 403 citations
Peers
Comparison fields: 5 of 89
- Computational Mathematics 54
- Statistics and Probability 127
- Computational Mechanics 76
- Artificial Intelligence 114
- Computer Vision and Pattern Recognition 58
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-authors
The 25 scholars most cited alongside Junwei Lu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 141 | |
| 2 | 2016 | 67 | |
| 3 | 2021 | 25 | |
| 4 | 2006 | 21 | |
| 5 | 2006 | 18 | |
| 6 | 2019 | 16 | |
| 7 | 2006 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | Post-regularization inference for time-varying nonparanormal graphical models | 2017 | 5 |
| 17 | 2023 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Junwei Lu
Junwei Lu is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering, having authored 36 papers that have together received 413 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Infrared Target Detection Methodologies (4 papers), Neural dynamics and brain function (3 papers), Medical Image Segmentation Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Advancements in Photolithography Techniques (2 papers) and Advanced Surface Polishing Techniques (2 papers). The work is most often cited by research in Computational Mathematics (54 citations), Statistics and Probability (127 citations), Computational Mechanics (76 citations), Artificial Intelligence (114 citations) and Computer Vision and Pattern Recognition (58 citations). Junwei Lu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Han Liu, Ziwei Zhu, Heather Battey, Jianqing Fan, Guang Cheng, Will Wei Sun, Han Liu, Yi Lu, Mladen Kolar and Akinori Hata. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory, Operations Research, Journal of Biomedical Informatics and Neurocomputing.
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.