Feng Liang
- Artificial Intelligence top 2%
- Statistics and Probability top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Co-authors
- Merlise A. ClydeGermán MolinaRui PauloJames O. BergerTianfang XuDong LiangLeslie YingDagan Feng
- Topics
- Statistical Methods and Inference (13 papers)Bayesian Methods and Mixture Models (10 papers)Statistical Methods and Bayesian Inference (8 papers)
- Cited by
- Statistics and ProbabilityRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaCanada
In The Last Decade
Feng Liang
66 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 624
- Statistics and Probability 530
- Radiology, Nuclear Medicine and Imaging 469
- Computer Vision and Pattern Recognition 403
- Biomedical Engineering 202
Countries citing papers authored by Feng Liang
This map shows the geographic impact of Feng Liang'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 Feng Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Liang more than expected).
Fields of papers citing papers by Feng Liang
This network shows the impact of papers produced by Feng Liang. 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 Feng Liang. The network helps show where Feng Liang may publish in the future.
Co-authorship network of co-authors of Feng Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Liang. A scholar is included among the top collaborators of Feng Liang 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 Feng Liang. Feng Liang 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 | 1 | |
| 4 | 0 | |
| 5 | 93 | |
| 6 | 47 | |
| 7 | Bayesian Joint Estimation of Multiple Graphical Models | 8 |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | A Combined Approach of Cycle Time Estimation in Mass Customization Enterprise | 1 |
| 12 | Accelerating magnetic resonance imaging via deep learningbreakdown → | 531 |
| 13 | On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification | 3 |
| 14 | 1 | |
| 15 | Supervised Dimension Reduction Using Bayesian Mixture Modeling | 1 |
| 16 | Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models | 68 |
| 17 | 1 | |
| 18 | 28 | |
| 19 | Robust Video Watermarking Algorithm Based on Adaptive Methods | 1 |
| 20 | A New Algorithm in Feature Extraction for Reverse Engineering | 1 |
About Feng Liang
Feng Liang is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Media Technology, having authored 72 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (10 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (530 citations), Radiology, Nuclear Medicine and Imaging (469 citations) and Computer Vision and Pattern Recognition (403 citations). Feng Liang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Merlise A. Clyde, Germán Molina, Rui Paulo, James O. Berger, Tianfang Xu, Dong Liang, Leslie Ying, Dagan Feng, Xi Peng and Shanshan Wang. Their work appears in journals such as Journal of the American Statistical Association, Bioinformatics and Technometrics.
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.