Honghua Dai

3.2k total citations
63 papers, 1.9k citations indexed

About

Honghua Dai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Honghua Dai has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 19 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Honghua Dai's work include Data Mining Algorithms and Applications (12 papers), Bayesian Modeling and Causal Inference (8 papers) and Machine Learning and Data Classification (8 papers). Honghua Dai is often cited by papers focused on Data Mining Algorithms and Applications (12 papers), Bayesian Modeling and Causal Inference (8 papers) and Machine Learning and Data Classification (8 papers). Honghua Dai collaborates with scholars based in Australia, China and United States. Honghua Dai's co-authors include Tao Luo, Bamshad Mobasher, Miki Nakagawa, Douglas R. Heisterkamp, Jing Peng, Gang Li, Xin Geng, Yu Zhang, Zhi‐Hua Zhou and Ling Zhuang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics Letters and IEEE Access.

In The Last Decade

Honghua Dai

61 papers receiving 1.7k citations

Peers

Honghua Dai

IS

AI

CVPR

SP

CNC

Daniel Lemire Canada

Zhen Qin China

Alípio Jorge Portugal

Llew Mason Australia

Haifeng Liu China

Erheng Zhong Hong Kong

Hwanjo Yu South Korea

Dymitr Ruta United Arab Emirates

Harry Zhang Canada

Shoujin Wang China

Daniel Lemire Canada

Honghua Dai

647 ×0.8

IS

675 ×1.0

AI

328 ×0.6

CVPR

390 ×1.4

SP

526 ×2.3

CNC

Citations per year, relative to Honghua Dai Honghua Dai (= 1×) peers Daniel Lemire

Countries citing papers authored by Honghua Dai

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Honghua Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Honghua Dai. A scholar is included among the top collaborators of Honghua Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Honghua Dai. Honghua Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kong, Jinzhen, et al.. (2025). Preparation and evaluation of a methyl-PEG2000-DSPE-PVP-LDC nanomaterial: A novel lidocaine delivery system. AIP Advances. 15(2). 1 indexed citations

2.

Dai, Honghua, et al.. (2024). Secure model predictive static programming with initial value generator for online computational guidance of near-space vehicles. Aerospace Science and Technology. 156. 109768–109768.

3.

Zhang, Shuo, Jing Wang, Lulu Pei, et al.. (2022). Interpretable CNN for ischemic stroke subtype classification with active model adaptation. BMC Medical Informatics and Decision Making. 22(1). 3–3. 14 indexed citations

4.

Wang, Haiyan, Honghua Dai, Yanjie Zhou, et al.. (2021). An effective feature extraction method based on GDS for atrial fibrillation detection. Journal of Biomedical Informatics. 119. 103819–103819. 13 indexed citations

5.

Wang, Zhihai, et al.. (2018). A Classifier Graph Based Recurring Concept Detection and Prediction Approach. Computational Intelligence and Neuroscience. 2018. 1–13. 7 indexed citations

6.

Dai, Honghua, et al.. (2014). Examination of Reliability of Missing Value Recovery in Data Mining. Swinburne Research Bank (Swinburne University of Technology). 306–313. 5 indexed citations

7.

Gan, Min & Honghua Dai. (2012). An efficient one-pass method for discovering bases of recently frequent episodes over online data streams. International journal of innovative computing, information & control. 8. 4675–4690. 2 indexed citations

8.

Zhuang, Ling & Honghua Dai. (2006). Reducing performance Bias for Unbalanced Text Mining. 2. 770–774. 4 indexed citations

9.

Geng, Xin, Zhi‐Hua Zhou, Yu Zhang, Gang Li, & Honghua Dai. (2006). Learning from facial aging patterns for automatic age estimation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 307–316. 191 indexed citations

10.

Ye, Yangdong, et al.. (2005). Research on train group operation model in RITS. 14. 242–249. 2 indexed citations

11.

Li, Ying, Zijian Zheng, & Honghua Dai. (2005). KDD CUP-2005 report. ACM SIGKDD Explorations Newsletter. 7(2). 91–99. 78 indexed citations

12.

Yao, Min, et al.. (2003). An image retrieval system based on fractal dimension. Journal of Zhejiang University. Science A. 4(4). 421–425. 6 indexed citations

13.

Dai, Honghua, et al.. (2002). The discovery of causal models with small samples. 27–30. 2 indexed citations

14.

Li, Gang, Tong Fu, & Honghua Dai. (2002). Evolutionary structure learning algorithm for Bayesian network and Penalized Mutual Information metric. 615–616. 2 indexed citations

15.

Mobasher, Bamshad, et al.. (2000). Discovery of Aggregate Usage Profiles for Web Personalization. Plant Disease. 87 indexed citations

16.

James, Simon, et al.. (1998). Forecasting from Low Quality Data with Applications in Weather Forecasting.. Informatica (slovenia). 22. 8 indexed citations

17.

Dai, Honghua, et al.. (1997). A study of causal discovery with weak links and small samples. International Joint Conference on Artificial Intelligence. 1304–1309. 21 indexed citations

18.

Wu, Xindong, et al.. (1997). Intelligent objects: an integration of knowledge, inference and objects. IOS Press eBooks. 32(6). 111–127. 1 indexed citations

19.

Wallace, Chris S., Kevin B. Korb, & Honghua Dai. (1996). Causal Discovery via MML.. International Conference on Machine Learning. 516–524. 44 indexed citations

20.

Wang, L., P. P. Ho, Xiaoyan Liang, Honghua Dai, & R. R. Alfano. (1993). Kerr–Fourier imaging of hidden objects in thick turbid media. Optics Letters. 18(3). 241–241. 60 indexed citations

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.

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