Shu Zhao

1.8k total citations
110 papers, 1.1k citations indexed

About

Shu Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Shu Zhao has authored 110 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 21 papers in Statistical and Nonlinear Physics. Recurrent topics in Shu Zhao's work include Advanced Graph Neural Networks (26 papers), Topic Modeling (22 papers) and Complex Network Analysis Techniques (21 papers). Shu Zhao is often cited by papers focused on Advanced Graph Neural Networks (26 papers), Topic Modeling (22 papers) and Complex Network Analysis Techniques (21 papers). Shu Zhao collaborates with scholars based in China, United States and Canada. Shu Zhao's co-authors include Yanping Zhang, Jie Chen, Peng Zhou, Jie Tang, Xindong Wu, Peipei Li, Heye Zhang, Shuo Li, Ni Wang and Zhifan Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shu Zhao

96 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Zhao China 20 649 306 275 141 115 110 1.1k
Tansel Özyer Türkiye 18 386 0.6× 173 0.6× 208 0.8× 60 0.4× 80 0.7× 86 904
Huaqing Min China 18 822 1.3× 325 1.1× 451 1.6× 49 0.3× 40 0.3× 103 1.4k
Xiao Luo China 23 784 1.2× 203 0.7× 471 1.7× 94 0.7× 23 0.2× 129 1.6k
Zhicheng Cui United States 8 794 1.2× 151 0.5× 271 1.0× 63 0.4× 41 0.4× 13 1.2k
Mohd. Asyraf Mansor Malaysia 21 785 1.2× 153 0.5× 230 0.8× 130 0.9× 16 0.1× 89 1.1k
Abdul Rauf Baig Pakistan 16 438 0.7× 145 0.5× 134 0.5× 121 0.9× 30 0.3× 78 792
Shi Han China 24 571 0.9× 591 1.9× 282 1.0× 168 1.2× 29 0.3× 84 1.7k
Kalyani Mali India 19 391 0.6× 93 0.3× 401 1.5× 111 0.8× 104 0.9× 84 947
Pengtao Xie United States 18 960 1.5× 161 0.5× 390 1.4× 28 0.2× 105 0.9× 66 1.5k

Countries citing papers authored by Shu Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Shu Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Zhao. A scholar is included among the top collaborators of Shu Zhao 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 Shu Zhao. Shu Zhao 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.
Yan, Yuanting, et al.. (2025). Constructive sample partition-based parameter-free sampling for class-overlapped imbalanced data classification. Applied Intelligence. 55(7). 1 indexed citations
2.
Chen, Jie, et al.. (2025). Contextualized Quaternion Embedding Towards Polysemy in Knowledge Graph for Link Prediction. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(4). 1–20. 1 indexed citations
3.
Zhou, Peng, et al.. (2025). Unsupervised heterogeneous group streaming feature selection. Pattern Recognition. 171. 112280–112280.
4.
Zhou, Peng, et al.. (2024). Explainable feature selection and ensemble classification via feature polarity. Information Sciences. 676. 120818–120818. 2 indexed citations
5.
Ge, Yong, Shenghui Zhao, Shu Zhao, & Cuijuan Shang. (2024). Named Entity Recognition in the Elderly Dietary Domain Based on the BERT-BiLSTM-CRF Model. 134–139.
6.
Zhao, Shu, et al.. (2024). CoMix: Confronting with Noisy Label Learning with Co-training Strategies on Textual Mislabeling. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(9). 1–16.
7.
Cen, Yukuo, et al.. (2024). Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. arXiv (Cornell University). 4467–4478. 5 indexed citations
8.
Zhao, Shu, et al.. (2024). Enhancing the Transferability of Adversarial Point Clouds by Initializing Transferable Adversarial Noise. IEEE Signal Processing Letters. 32. 201–205. 1 indexed citations
9.
Zhou, Peng, et al.. (2024). Online Heterogeneous Streaming Feature Selection Without Feature Type Information. IEEE Transactions on Big Data. 10(4). 470–485. 6 indexed citations
10.
Zhou, Peng, Xin Jiang, & Shu Zhao. (2024). Unsupervised technical phrase extraction by incorporating structure and position information. Expert Systems with Applications. 245. 123140–123140. 6 indexed citations
11.
Zhao, Shu, et al.. (2023). DIEU: A Dynamic Interaction Emotion Unit for Emotion Recognition in Conversation. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(10). 1–18. 2 indexed citations
12.
Zhao, Shu, et al.. (2023). Self-supervised scientific document recommendation based on contrastive learning. Scientometrics. 128(9). 5027–5049.
13.
Chen, Jie, et al.. (2022). A Joint Learning Sentiment Analysis Method Incorporating Emoji-Augmentation. 13. 348–354. 1 indexed citations
14.
Chen, Jie, Zhiqiang Yao, Shu Zhao, & Yanping Zhang. (2022). Fusion Pre-trained Emoji Feature Enhancement for Sentiment Analysis. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(4). 1–14. 3 indexed citations
15.
Chen, Bo, Jing Zhang, Jie Tang, et al.. (2020). CONNA: Addressing Name Disambiguation on the Fly. IEEE Transactions on Knowledge and Data Engineering. 34(7). 3139–3152. 12 indexed citations
16.
Zhou, Peng, Peipei Li, Shu Zhao, & Xindong Wu. (2020). Feature Interaction for Streaming Feature Selection. IEEE Transactions on Neural Networks and Learning Systems. 32(10). 4691–4702. 86 indexed citations
17.
Zhao, Shu, et al.. (2019). An adaptive granulation algorithm for community detection based on improved label propagation. International Journal of Approximate Reasoning. 114. 115–126. 6 indexed citations
18.
Ren, Tingting, Xiuyi Jia, Weiwei Li, & Shu Zhao. (2019). Label Distribution Learning with Label Correlations via Low-Rank Approximation. 3325–3331. 39 indexed citations
19.
Chen, Jie, et al.. (2018). A three-way decision ensemble method for imbalanced data oversampling. International Journal of Approximate Reasoning. 107. 1–16. 32 indexed citations
20.
Zhao, Shu, et al.. (2014). Microhardness Analysis of Laser Cladding CBN Coating on the Surface of Titanium Alloy. Applied Mechanics and Materials. 551. 3–6. 2 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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