Bin Cao

2.2k total citations · 1 hit paper
36 papers, 1.5k citations indexed

About

Bin Cao is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Bin Cao has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Bin Cao's work include Recommender Systems and Techniques (9 papers), Text and Document Classification Technologies (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Bin Cao is often cited by papers focused on Recommender Systems and Techniques (9 papers), Text and Document Classification Technologies (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Bin Cao collaborates with scholars based in China, Hong Kong and United States. Bin Cao's co-authors include Qiang Yang, Nathan N. Liu, Martin Scholz, Rong Pan, Rajan M. Lukose, Y. Zhou, Vincent W. Zheng, Yu Zheng, Xing Xie and Dit‐Yan Yeung and has published in prestigious journals such as Small, Advanced Science and Signal Transduction and Targeted Therapy.

In The Last Decade

Bin Cao

29 papers receiving 1.4k citations

Hit Papers

One-Class Collaborative Filtering 2008 2026 2014 2020 2008 200 400 600
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. One-Class Collaborative Filtering
    2008 682 citations Rong Pan, Y. Zhou et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Cao China 13 912 691 382 228 216 36 1.5k
Javed A. Aslam United States 22 821 0.9× 1.0k 1.5× 347 0.9× 228 1.0× 124 0.6× 72 1.9k
Shoujin Wang China 22 1.1k 1.2× 1.2k 1.8× 404 1.1× 270 1.2× 82 0.4× 103 1.9k
Lianghao Xia Hong Kong 27 1.6k 1.8× 1.6k 2.4× 416 1.1× 187 0.8× 263 1.2× 52 2.3k
Lei Zhao China 21 418 0.5× 697 1.0× 281 0.7× 110 0.5× 188 0.9× 156 1.4k
Lejian Liao China 20 569 0.6× 784 1.1× 271 0.7× 90 0.4× 197 0.9× 123 1.3k
Rohan Anil United States 3 1.5k 1.6× 1.2k 1.7× 680 1.8× 281 1.2× 122 0.6× 5 2.1k
Zhiting Hu United States 27 747 0.8× 1.4k 2.0× 842 2.2× 105 0.5× 377 1.7× 54 2.4k
Huan Zhao China 17 977 1.1× 1.0k 1.5× 346 0.9× 144 0.6× 70 0.3× 46 1.6k
Xu Chen China 20 1.3k 1.4× 1.3k 1.9× 487 1.3× 330 1.4× 88 0.4× 121 2.1k
Vihan Jain United States 9 1.5k 1.6× 1.2k 1.8× 741 1.9× 336 1.5× 123 0.6× 12 2.2k

Countries citing papers authored by Bin Cao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Cao. A scholar is included among the top collaborators of Bin 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 Bin Cao. Bin 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.
Cao, Bin, et al.. (2025). AdaMGT: Molecular representation learning via adaptive mixture of GCN-Transformer. Knowledge-Based Systems. 311. 113131–113131.
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Wang, Yeming, et al.. (2025). Onradivir: a novel influenza polymerase inhibitor. The Lancet Respiratory Medicine. 13(7). 571–573. 1 indexed citations
5.
Zou, X., Liang Hong, Lijun Suo, et al.. (2025). Enrichment of Streptococcus oralis in respiratory microbiome enhance innate immunity and protects against influenza infection. Signal Transduction and Targeted Therapy. 10(1). 272–272.
6.
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Wu, Haishan, et al.. (2024). Option-Based Hierarchical Reinforcement Learning for Energy Management of Connected HEVs. IFAC-PapersOnLine. 58(29). 160–165.
8.
Liu, Xin, et al.. (2023). Evolutionary Neural Architecture Search and Its Applications in Healthcare. Computer Modeling in Engineering & Sciences. 139(1). 143–185. 2 indexed citations
9.
Wang, Xiuling, Jun Wan, Ling Zhao, et al.. (2019). IgG4-related disease with tracheobronchial miliary nodules and asthma: a case report and review of the literature. BMC Pulmonary Medicine. 19(1). 191–191. 6 indexed citations
10.
Wu, Liang, Bin Cao, Yuanchun Zhou, & Jianhui Li. (2014). Improving query suggestion through noise filtering and query length prediction. 399–400. 2 indexed citations
11.
Zhang, Yu, Bin Cao, & Dit‐Yan Yeung. (2012). Multi-Domain Collaborative Filtering. arXiv (Cornell University). 725–732. 69 indexed citations
12.
Mei, Shike, Bin Cao, & Jian-Tao Sun. (2012). Encoding Low-Rank and Sparse Structures Simultaneously in Multi-task Learning. 10 indexed citations
13.
Jiang, Xiaofan, Chieh-Jan Mike Liang, Kaifei Chen, et al.. (2012). Design and evaluation of a wireless magnetic-based proximity detection platform for indoor applications. 221–231. 13 indexed citations
14.
Cao, Bin, Xiaochuan Ni, Jian-Tao Sun, Gang Wang, & Qiang Yang. (2011). Distance metric learning under covariate shift. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13 indexed citations
15.
Cao, Bin, Nathan N. Liu, & Qiang Yang. (2010). Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 159–166. 83 indexed citations
16.
Liu, Nathan N., Bin Cao, Min Zhao, & Qiang Yang. (2010). Adapting neighborhood and matrix factorization models for context aware recommendation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7–13. 33 indexed citations
17.
Cao, Bin, et al.. (2010). Application of Particle Filter for Target Tracking in Wireless Sensor Networks. 504–508. 8 indexed citations
18.
Pan, Rong, Y. Zhou, Bin Cao, et al.. (2008). One-Class Collaborative Filtering. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 502–511. 682 indexed citations breakdown →
19.
Cao, Bin, Dou Shen, Jian-Tao Sun, et al.. (2007). Detect and track latent factors with online nonnegative matrix factorization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2689–2694. 59 indexed citations
20.
Cao, Bin, Dou Shen, Jian-Tao Sun, Qiang Yang, & Zheng Chen. (2007). Feature selection in a kernel space. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 121–128. 64 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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