Cailing Dong
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Topic Modeling
- Advanced Text Analysis Techniques
- Machine Learning and Data Classification
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- Artificial Intelligence in Healthcare
Papers in
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- Text and Document Classification Technologies 4
- Privacy-Preserving Technologies in Data 3
- Machine Learning and Data Classification 2
- Advanced Text Analysis Techniques 2
- Imbalanced Data Classification Techniques 2
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- Spam and Phishing Detection 3
- Web Data Mining and Analysis 3
- Co-authors
- Guang-Tong Zhou (2 shared papers)Gongping Yang (2 shared papers)Xinjian Guo (2 shared papers)Yilong Yin (1 shared paper)Ulrich Schäfer (1 shared paper)Bin Zhou (2 shared papers)Hongxia Jin (3 shared papers)Bart P. Knijnenburg (2 shared papers)
- Journals
- Science China Information Sciences (1 paper)Lecture notes in computer science (3 papers)Maryland Shared Open Access Repository (USMAI Consortium) (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)ResearchSpace (University of Auckland) (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Cailing Dong
13 papers receiving 466 citations
Cailing Dong's Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 301
- Health Information Management 27
- Accounting 39
- Statistics, Probability and Uncertainty 26
- Information Systems 81
Countries citing papers authored by Cailing Dong
This map shows the geographic impact of Cailing Dong'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 Cailing Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cailing Dong more than expected).
Fields of papers citing papers by Cailing Dong
This network shows the impact of papers produced by Cailing Dong. 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 Cailing Dong. The network helps show where Cailing Dong may publish in the future.
Co-authors
The 16 scholars most cited alongside Cailing Dong, 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 | On the Class Imbalance Problem Hit paper breakdown → | 2008 | 361 |
| 2 | Ensemble-style Self-training on Citation Classification | 2011 | 65 |
| 3 | 2016 | 12 | |
| 4 | 2012 | 11 | |
| 5 | 2018 | 10 | |
| 6 | 2002 | 8 | |
| 7 | 2010 | 6 | |
| 8 | 2016 | 5 | |
| 9 | 2016 | 4 | |
| 10 | 2008 | 2 | |
| 11 | 2013 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2014 | 0 |
About Cailing Dong
Cailing Dong is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Networks and Communications and Transportation, having authored 14 papers that have together received 489 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (4 papers), Privacy-Preserving Technologies in Data (3 papers), Spam and Phishing Detection (3 papers), Privacy, Security, and Data Protection (3 papers), Web Data Mining and Analysis (3 papers), Machine Learning and Data Classification (2 papers), Advanced Text Analysis Techniques (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (301 citations), Health Information Management (27 citations), Accounting (39 citations), Statistics, Probability and Uncertainty (26 citations) and Information Systems (81 citations). Cailing Dong has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Guang-Tong Zhou, Gongping Yang, Xinjian Guo, Yilong Yin, Ulrich Schäfer, Bin Zhou, Hongxia Jin, Bart P. Knijnenburg, Bin Zhou and Bin Jia. Their work appears in journals such as Science China Information Sciences, Lecture notes in computer science, Maryland Shared Open Access Repository (USMAI Consortium), Proceedings of the International AAAI Conference on Web and Social Media and ResearchSpace (University of Auckland).
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.