Wei Luo
Impact in
- Health Informatics top 1%
- Software top 2%
- Software Reliability and Analysis Research
Papers in
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- Topic Modeling 8
- Privacy-Preserving Technologies in Data 7
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- Advanced Image and Video Retrieval Techniques 15
- Image Retrieval and Classification Techniques 8
- Co-authors
- Svetha Venkatesh (27 shared papers)Dinh Quoc Phung (26 shared papers)Truyen Tran (18 shared papers)Lei Pan (13 shared papers)Prof. Yang Xiang (9 shared papers)Jun Zhang (9 shared papers)Michael Berk (4 shared papers)Diane M. Strong (1 shared paper)
In The Last Decade
Wei Luo
166 papers receiving 3.5k citations
Wei Luo's Hit Papers
Peers
Comparison fields: 5 of 178
- Health Informatics 114
- Software 298
- Signal Processing 656
- Information Systems 636
- Artificial Intelligence 912
Countries citing papers authored by Wei Luo
This map shows the geographic impact of Wei Luo'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 Wei Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Luo more than expected).
Fields of papers citing papers by Wei Luo
This network shows the impact of papers produced by Wei Luo. 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 Wei Luo. The network helps show where Wei Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Luo, 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View Hit paper breakdown → | 2016 | 759 |
| 2 | A Survey of Android Malware Detection with Deep Neural Models Hit paper breakdown → | 2020 | 239 |
| 3 | 2004 | 170 | |
| 4 | 2018 | 170 | |
| 5 | 2019 | 159 | |
| 6 | 2020 | 119 | |
| 7 | 2014 | 110 | |
| 8 | 2017 | 102 | |
| 9 | 2019 | 95 | |
| 10 | 2014 | 92 | |
| 11 | 2019 | 77 | |
| 12 | 2018 | 75 | |
| 13 | 2010 | 52 | |
| 14 | 2002 | 46 | |
| 15 | 2014 | 44 | |
| 16 | 2020 | 43 | |
| 17 | 2019 | 38 | |
| 18 | 2022 | 38 | |
| 19 | 2014 | 36 | |
| 20 | 2014 | 36 |
About Wei Luo
Wei Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 180 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Rough Sets and Fuzzy Logic (11 papers), Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (11 papers), Data Mining Algorithms and Applications (9 papers), Topic Modeling (8 papers), Image Retrieval and Classification Techniques (8 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Health Informatics (114 citations), Software (298 citations), Signal Processing (656 citations), Information Systems (636 citations) and Artificial Intelligence (912 citations). Wei Luo has collaborated with scholars based in Australia, China and Canada. Frequent co-authors include Svetha Venkatesh, Dinh Quoc Phung, Truyen Tran, Lei Pan, Prof. Yang Xiang, Jun Zhang, Michael Berk, Diane M. Strong, Santu Rana and Sunil Gupta. Their work appears in journals such as IEEE Access, BMJ Open, IEEE Geoscience and Remote Sensing Letters, Knowledge-Based Systems and Lecture notes in computer science.
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.