Junhui Wang
Impact in
- Computational Mathematics top 5%
- Statistics and Probability top 2%
- Statistical Methods and Inference
Papers in
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- Bayesian Methods and Mixture Models 8
- Machine Learning and Data Classification 7
- Advanced Clustering Algorithms Research 5
-
- Statistical Methods and Inference 16
- Advanced Statistical Methods and Models 5
- Co-authors
- Yixin Fang (10 shared papers)Xiaotong Shen (9 shared papers)Arjun Mukherjee (2 shared papers)Bing Liu (2 shared papers)Malú Castellanos (1 shared paper)Riddhiman Ghosh (1 shared paper)Abhinav Kumar (1 shared paper)Meichun Hsu (1 shared paper)
- Journals
- Journal of the American Statistical Association (7 papers)Computational Statistics & Data Analysis (3 papers)Journal of Computational and Graphical Statistics (3 papers)Statistica Sinica (3 papers)Electronic Journal of Statistics (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Junhui Wang
48 papers receiving 1.2k citations
Junhui Wang's Hit Papers
Peers
Comparison fields: 5 of 138
- Computational Mathematics 18
- Statistics and Probability 200
- Artificial Intelligence 653
- Information Systems 421
- Signal Processing 134
Countries citing papers authored by Junhui Wang
This map shows the geographic impact of Junhui Wang'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 Junhui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhui Wang more than expected).
Fields of papers citing papers by Junhui Wang
This network shows the impact of papers produced by Junhui Wang. 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 Junhui Wang. The network helps show where Junhui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhui Wang, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spotting opinion spammers using behavioral footprints Hit paper breakdown → | 2013 | 267 |
| 2 | 2011 | 147 | |
| 3 | 2010 | 112 | |
| 4 | 2011 | 100 | |
| 5 | 2019 | 68 | |
| 6 | 2012 | 62 | |
| 7 | 2007 | 57 | |
| 8 | 2012 | 40 | |
| 9 | On Efficient Large Margin Semisupervised Learning: Method and Theory. | 2009 | 35 |
| 10 | 2015 | 34 | |
| 11 | Large Margin Semi-supervised Learning | 2007 | 33 |
| 12 | 2015 | 24 | |
| 13 | 2014 | 23 | |
| 14 | 2019 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2024 | 17 | |
| 18 | 2009 | 17 | |
| 19 | 2014 | 17 | |
| 20 | 2014 | 16 |
About Junhui Wang
Junhui Wang is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Face and Expression Recognition (10 papers), Bayesian Methods and Mixture Models (8 papers), Machine Learning and Data Classification (7 papers), Gene expression and cancer classification (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Advanced Statistical Methods and Models (5 papers) and Advanced Clustering Algorithms Research (5 papers). The work is most often cited by research in Computational Mathematics (18 citations), Statistics and Probability (200 citations), Artificial Intelligence (653 citations), Information Systems (421 citations) and Signal Processing (134 citations). Junhui Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yixin Fang, Xiaotong Shen, Arjun Mukherjee, Bing Liu, Malú Castellanos, Riddhiman Ghosh, Abhinav Kumar, Meichun Hsu, Wei Sun and Nitin Jindal. Their work appears in journals such as Journal of the American Statistical Association, Computational Statistics & Data Analysis, Journal of Computational and Graphical Statistics, Statistica Sinica and Electronic Journal of Statistics.
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.