Honghua Dai
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Data Mining Algorithms and Applications
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
-
- Bayesian Modeling and Causal Inference 15
- Machine Learning and Data Classification 10
- Imbalanced Data Classification Techniques 8
- Text and Document Classification Technologies 8
-
- Data Mining Algorithms and Applications 22
- Co-authors
- Bamshad Mobasher (6 shared papers)Tao Luo (5 shared papers)Miki Nakagawa (5 shared papers)Gang Li (15 shared papers)Douglas R. Heisterkamp (7 shared papers)Ling Zhuang (8 shared papers)Jing Peng (6 shared papers)Zhi‐Hua Zhou (6 shared papers)
- Journals
- IEEE Access (4 papers)Lecture notes in computer science (24 papers)International Journal of Machine Learning and Cybernetics (2 papers)Information Systems (1 paper)Optics Letters (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Honghua Dai
91 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 139
- Information Systems 1.2k
- Signal Processing 370
- Computer Vision and Pattern Recognition 638
- Artificial Intelligence 932
- Acoustics and Ultrasonics 23
Countries citing papers authored by Honghua Dai
This map shows the geographic impact of Honghua Dai'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 Honghua Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honghua Dai more than expected).
Fields of papers citing papers by Honghua Dai
This network shows the impact of papers produced by Honghua Dai. 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 Honghua Dai. The network helps show where Honghua Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Honghua Dai, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 336 | |
| 2 | 2002 | 295 | |
| 3 | 2006 | 227 | |
| 4 | 2018 | 143 | |
| 5 | 2006 | 131 | |
| 6 | 2000 | 121 | |
| 7 | 2001 | 118 | |
| 8 | 2005 | 86 | |
| 9 | Improving the Effectiveness of Collaborative Filtering on Anonymous Web Usage Data | 2001 | 83 |
| 10 | Causal Discovery via MML. | 1996 | 63 |
| 11 | 1993 | 62 | |
| 12 | 2003 | 61 | |
| 13 | 2019 | 56 | |
| 14 | 2006 | 56 | |
| 15 | 2004 | 52 | |
| 16 | A study of causal discovery with weak links and small samples | 1997 | 31 |
| 17 | 2019 | 29 | |
| 18 | 2009 | 28 | |
| 19 | 2006 | 27 | |
| 20 | 2005 | 27 |
About Honghua Dai
Honghua Dai is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Management Science and Operations Research, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (22 papers), Rough Sets and Fuzzy Logic (18 papers), Bayesian Modeling and Causal Inference (15 papers), Face and Expression Recognition (10 papers), Machine Learning and Data Classification (10 papers), Data Management and Algorithms (8 papers), Imbalanced Data Classification Techniques (8 papers) and Text and Document Classification Technologies (8 papers). The work is most often cited by research in Information Systems (1.2k citations), Signal Processing (370 citations), Computer Vision and Pattern Recognition (638 citations), Artificial Intelligence (932 citations) and Acoustics and Ultrasonics (23 citations). Honghua Dai has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Bamshad Mobasher, Tao Luo, Miki Nakagawa, Gang Li, Douglas R. Heisterkamp, Ling Zhuang, Jing Peng, Zhi‐Hua Zhou, Xin Geng and Yu Zhang. Their work appears in journals such as IEEE Access, Lecture notes in computer science, International Journal of Machine Learning and Cybernetics, Information Systems and Optics Letters.
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.