Cailing Dong
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
- Machine Learning and Data Classification
- Health Information Management top 10%
Papers in
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- Text and Document Classification Technologies 4
- Imbalanced Data Classification Techniques 2
- Machine Learning and Data Classification 2
- Advanced Text Analysis Techniques 1
- Topic Modeling 1
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- Web Data Mining and Analysis 3
- Spam and Phishing Detection 2
- Service-Oriented Architecture and Web Services 1
- Co-authors
- Gongping Yang (2 shared papers)Guang-Tong Zhou (2 shared papers)Xinjian Guo (2 shared papers)Yilong Yin (1 shared paper)Ulrich Schäfer (1 shared paper)Bin Zhou (2 shared papers)Yilong Yin (2 shared papers)Bart P. Knijnenburg (1 shared paper)
- Journals
- Science China Information Sciences (1 paper)International Joint Conference on Natural Language Processing (1 paper)2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (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
8 papers receiving 387 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 246
- Health Information Management 21
- Statistics, Probability and Uncertainty 24
- Accounting 36
- Information Systems 60
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 13 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 | 2008 | 317 | |
| 2 | Ensemble-style Self-training on Citation Classification | 2011 | 58 |
| 3 | 2012 | 9 | |
| 4 | 2018 | 8 | |
| 5 | 2010 | 6 | |
| 6 | 2002 | 4 | |
| 7 | 2021 | 2 | |
| 8 | 2008 | 2 | |
| 9 | 2013 | 1 |
About Cailing Dong
Cailing Dong is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 407 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (4 papers), Web Data Mining and Analysis (3 papers), Imbalanced Data Classification Techniques (2 papers), Spam and Phishing Detection (2 papers), Machine Learning and Data Classification (2 papers), Advanced Text Analysis Techniques (1 paper), Topic Modeling (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Artificial Intelligence (246 citations), Health Information Management (21 citations), Statistics, Probability and Uncertainty (24 citations), Accounting (36 citations) and Information Systems (60 citations). Cailing Dong has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Gongping Yang, Guang-Tong Zhou, Xinjian Guo, Yilong Yin, Ulrich Schäfer, Bin Zhou, Yilong Yin, Bart P. Knijnenburg, Kuo‐Chu Chang and Bin Jia. Their work appears in journals such as Science China Information Sciences, International Joint Conference on Natural Language Processing, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 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.