Pang‐Ning Tan
Impact in
- Information Systems top 0.1%
- Data Mining Algorithms and Applications
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Signal Processing top 0.5%
- Data Management and Algorithms
Papers in
-
- Data Management and Algorithms 17
- Co-authors
- Vipin KumarJaideep SrivastavaMichael SteinbachRobert CooleyMukund DeshpandeHui XiongSteven KloosterChristopher Potter
- Journals
- IEEE Transactions on Knowledge and Data Engineering (4 papers)Data Mining and Knowledge Discovery (3 papers)Health Communication (2 papers)Earth Interactions (2 papers)Ecosphere (2 papers)
- Partner nations
- United StatesCanadaMalaysia
In The Last Decade
Pang‐Ning Tan
164 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Information Systems 3.0k
- Signal Processing 1.3k
- Artificial Intelligence 2.8k
- Computational Theory and Mathematics 956
- Computational Mathematics 34
Countries citing papers authored by Pang‐Ning Tan
This map shows the geographic impact of Pang‐Ning Tan'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 Pang‐Ning Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pang‐Ning Tan more than expected).
Fields of papers citing papers by Pang‐Ning Tan
This network shows the impact of papers produced by Pang‐Ning Tan. 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 Pang‐Ning Tan. The network helps show where Pang‐Ning Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pang‐Ning Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 14 | |
| 5 | 2020 | 8 | |
| 6 | 2019 | 11 | |
| 7 | 2019 | 37 | |
| 8 | 2019 | 17 | |
| 9 | 2018 | 35 | |
| 10 | Predicting US Drought Monitor Drought Categories with multiple land surface models and machine learning | 2018 | 1 |
| 11 | 2018 | 11 | |
| 12 | 2014 | 8 | |
| 13 | Smoothed quantile regression for statistical downscaling of extreme events in climate modeling | 2011 | 1 |
| 14 | 2010 | 13 | |
| 15 | 2009 | 12 | |
| 16 | Multistep-ahead Time Series Prediction | 2008 | 2 |
| 17 | Introduction to Data Mining, (First Edition) Hit paper breakdown → | 2005 | 910 |
| 18 | 2005 | 1 | |
| 19 | High performance data mining | 2003 | 13 |
| 20 | Interestingness Measures for Association Patterns: A Perspective | 2000 | 116 |
About Pang‐Ning Tan
Pang‐Ning Tan is a scholar working on Computational Mathematics, Signal Processing, Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 169 papers that have together received 6.7k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (32 papers), Anomaly Detection Techniques and Applications (19 papers), Network Security and Intrusion Detection (17 papers), Rough Sets and Fuzzy Logic (17 papers), Data Management and Algorithms (17 papers), Complex Network Analysis Techniques (16 papers), Climate variability and models (13 papers) and Spam and Phishing Detection (12 papers). The work is most often cited by research in Information Systems (3.0k citations), Signal Processing (1.3k citations), Artificial Intelligence (2.8k citations), Computational Theory and Mathematics (956 citations) and Computational Mathematics (34 citations). Pang‐Ning Tan has collaborated with scholars based in United States, Canada and Malaysia. Frequent co-authors include Vipin Kumar, Jaideep Srivastava, Michael Steinbach, Vipin Kumar, Robert Cooley, Mukund Deshpande, Hui Xiong, Steven Klooster, Christopher Potter and Haibin Cheng. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Data Mining and Knowledge Discovery, Health Communication, Earth Interactions and Ecosphere.
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.