Ling Luo
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
Papers in
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- Bayesian Methods and Mixture Models 2
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- Misinformation and Its Impacts 4
- Co-authors
- Amila Silva (5 shared papers)Christopher Leckie (5 shared papers)Shanika Karunasekera (5 shared papers)Yi Han (2 shared papers)Haoran Xie (1 shared paper)Fu Lee Wang (1 shared paper)Yanghui Rao (1 shared paper)Irena Koprinska (5 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Chemistry - An Asian Journal (1 paper)Information Processing & Management (1 paper)CNS Neuroscience & Therapeutics (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Ling Luo
23 papers receiving 348 citations
Peers
Comparison fields: 5 of 65
- Information Systems 198
- Artificial Intelligence 156
- Sociology and Political Science 202
- Statistical and Nonlinear Physics 44
- Signal Processing 38
Countries citing papers authored by Ling Luo
This map shows the geographic impact of Ling 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 Ling Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Luo more than expected).
Fields of papers citing papers by Ling Luo
This network shows the impact of papers produced by Ling 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 Ling Luo. The network helps show where Ling Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 99 | |
| 2 | 2021 | 89 | |
| 3 | 2018 | 50 | |
| 4 | 2019 | 39 | |
| 5 | 2024 | 13 | |
| 6 | 2021 | 7 | |
| 7 | 2024 | 7 | |
| 8 | Embedding partial propagation network for fake news early detection | 2020 | 7 |
| 9 | 2016 | 7 | |
| 10 | Discrimination-Aware Classifiers for Student Performance Prediction. | 2015 | 6 |
| 11 | 2025 | 6 | |
| 12 | 2017 | 4 | |
| 13 | An Efficient Near-Infrared Photothermal Therapy Agent by Using Ag@Oxides Nanoprisms in for Uveal melanoma Therapy | 2015 | 3 |
| 14 | 2025 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2010 | 1 |
About Ling Luo
Ling Luo is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Marketing and Signal Processing, having authored 26 papers that have together received 351 indexed citations. Recurring topics across this work include Customer churn and segmentation (4 papers), Consumer Market Behavior and Pricing (4 papers), Spam and Phishing Detection (4 papers), Misinformation and Its Impacts (4 papers), Advanced Nanomaterials in Catalysis (2 papers), Caching and Content Delivery (2 papers), Nanoplatforms for cancer theranostics (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Information Systems (198 citations), Artificial Intelligence (156 citations), Sociology and Political Science (202 citations), Statistical and Nonlinear Physics (44 citations) and Signal Processing (38 citations). Ling Luo has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Amila Silva, Christopher Leckie, Shanika Karunasekera, Yi Han, Haoran Xie, Fu Lee Wang, Yanghui Rao, Irena Koprinska, Uwe Aickelin and Peng Du. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Journal of Biomedical and Health Informatics, Chemistry - An Asian Journal, Information Processing & Management and CNS Neuroscience & Therapeutics.
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.