Huanhuan Cao

2.3k total citations · 1 hit paper
36 papers, 1.6k citations indexed

About

Huanhuan Cao is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Huanhuan Cao has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Huanhuan Cao's work include Recommender Systems and Techniques (16 papers), Data Management and Algorithms (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Huanhuan Cao is often cited by papers focused on Recommender Systems and Techniques (16 papers), Data Management and Algorithms (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Huanhuan Cao collaborates with scholars based in China, United States and Hong Kong. Huanhuan Cao's co-authors include Enhong Chen, Jilei Tian, Daxin Jiang, Hui Xiong, Jian Pei, Hengshu Zhu, Zhen Liao, Hang Li, Qi He and Qiang Yang and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Image Processing and Information Sciences.

In The Last Decade

Huanhuan Cao

35 papers receiving 1.5k citations

Hit Papers

Context-aware query suggestion by mining click-through an... 2008 2026 2014 2020 2008 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Context-aware query suggestion by mining click-through and session data
    2008 295 citations Huanhuan Cao, Daxin Jiang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Huanhuan Cao China 20 834 537 271 223 214 36 1.6k
Takeaki Uno Japan 21 434 0.5× 454 0.8× 155 0.6× 213 1.0× 79 0.4× 110 1.6k
Wei Hu China 24 600 0.7× 2.0k 3.7× 192 0.7× 166 0.7× 93 0.4× 109 2.4k
Nikolaos Laoutaris Spain 29 667 0.8× 374 0.7× 239 0.9× 2.3k 10.3× 122 0.6× 109 3.0k
Zhiqiang Zhang China 18 377 0.5× 593 1.1× 149 0.5× 104 0.5× 67 0.3× 58 1.1k
Amit Goyal India 10 268 0.3× 212 0.4× 50 0.2× 186 0.8× 671 3.1× 27 1.0k
Michael Cafarella United States 31 2.0k 2.4× 3.3k 6.2× 444 1.6× 992 4.4× 110 0.5× 98 4.9k

Countries citing papers authored by Huanhuan Cao

Since Specialization
Citations

This map shows the geographic impact of Huanhuan Cao'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 Huanhuan Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanhuan Cao more than expected).

Fields of papers citing papers by Huanhuan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huanhuan Cao. 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 Huanhuan Cao. The network helps show where Huanhuan Cao may publish in the future.

Co-authorship network of co-authors of Huanhuan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Huanhuan Cao. A scholar is included among the top collaborators of Huanhuan Cao 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 Huanhuan Cao. Huanhuan Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yao, Yao, et al.. (2023). I-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems. IEEE Transactions on Knowledge and Data Engineering. 36(9). 4736–4749. 2 indexed citations
2.
3.
Lv, Zheng, Zhongwei Man, Hongtu Cui, et al.. (2020). Red AIE Luminogens with Tunable Organelle Specific Anchoring for Live Cell Dynamic Super Resolution Imaging. Advanced Functional Materials. 31(10). 53 indexed citations
4.
Deng, Cheng, et al.. (2020). Object and background disentanglement for unsupervised cross-domain person re-identification. Neurocomputing. 403. 88–97. 10 indexed citations
5.
Yan, Xiao, Daolan Liu, Huanhuan Cao, et al.. (2019). Nitrogen Reduction to Ammonia on Atomic‐Scale Active Sites under Mild Conditions. Small Methods. 3(9). 177 indexed citations
6.
Cao, Huanhuan, Wenping Si, Wenlei Guo, et al.. (2019). KCl flux suppresses surface recombinations of hematite photoanode for water oxidation. Surface Innovations. 8(3). 130–137. 2 indexed citations
7.
Zhang, Ruqing, Jiafeng Guo, Yixing Fan, et al.. (2018). Question Headline Generation for News Articles. 617–626. 16 indexed citations
8.
Cao, Huanhuan, Yuhang Zhang, Liucun Zhu, et al.. (2017). Prediction of the Ebola Virus Infection Related Human Genes Using Protein-Protein Interaction Network. Combinatorial Chemistry & High Throughput Screening. 20(7). 638–646. 12 indexed citations
9.
Cao, Huanhuan, et al.. (2013). Predicting Stay Time of Mobile Users With Contextual Information. IEEE Transactions on Automation Science and Engineering. 10(4). 1026–1036. 22 indexed citations
10.
Liao, Zhen, Daxin Jiang, Jian Pei, et al.. (2013). A vlHMM approach to context-aware search. ACM Transactions on the Web. 7(4). 1–38. 4 indexed citations
11.
Ma, Haiping, Huanhuan Cao, Qiang Yang, Enhong Chen, & Jilei Tian. (2012). A habit mining approach for discovering similar mobile users. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 231–240. 35 indexed citations
12.
Zhu, Hengshu, Enhong Chen, Huanhuan Cao, & Jilei Tian. (2012). Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities. International Journal of Knowledge and Systems Science. 3(1). 48–63. 2 indexed citations
13.
Zhu, Hengshu, Huanhuan Cao, Enhong Chen, Hui Xiong, & Jilei Tian. (2012). Exploiting enriched contextual information for mobile app classification. 1617–1621. 34 indexed citations
14.
Cao, Huanhuan, et al.. (2012). Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 288–293. 6 indexed citations
15.
Zhu, Hengshu, Huanhuan Cao, Hui Xiong, Enhong Chen, & Jilei Tian. (2011). Towards expert finding by leveraging relevant categories in authority ranking. 2221–2224. 33 indexed citations
16.
Liao, Zhen, Daxin Jiang, Enhong Chen, et al.. (2011). Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion. ACM Transactions on Intelligent Systems and Technology. 3(1). 1–40. 33 indexed citations
17.
Cao, Huanhuan, Tengfei Bao, Qiang Yang, Enhong Chen, & Jilei Tian. (2010). An effective approach for mining mobile user habits. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1677–1680. 46 indexed citations
18.
Cao, Huanhuan, Derek Hao Hu, Dou Shen, et al.. (2009). Context-aware query classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3–10. 106 indexed citations
19.
Cao, Huanhuan, Enhong Chen, Jie Yang, & Hui Xiong. (2009). Enhancing recommender systems under volatile userinterest drifts. 1257–1266. 28 indexed citations
20.
Chen, Enhong, Huanhuan Cao, Qing Li, & Tieyun Qian. (2007). Efficient strategies for tough aggregate constraint-based sequential pattern mining. Information Sciences. 178(6). 1498–1518. 35 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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