Yuhai Zhao

1.3k total citations · 1 hit paper
95 papers, 790 citations indexed

About

Yuhai Zhao is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuhai Zhao has authored 95 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 24 papers in Molecular Biology and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuhai Zhao's work include Bioinformatics and Genomic Networks (17 papers), Complex Network Analysis Techniques (13 papers) and Machine Learning and ELM (10 papers). Yuhai Zhao is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Complex Network Analysis Techniques (13 papers) and Machine Learning and ELM (10 papers). Yuhai Zhao collaborates with scholars based in China, Singapore and Australia. Yuhai Zhao's co-authors include Guoren Wang, Ying Yin, Xiangjun Dong, Zhengkui Wang, Xin Qi, Yuan Li, Yuan Li, Xiangguo Zhao, Haitao Ma and Cuirong Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Molecular Sciences and Expert Systems with Applications.

In The Last Decade

Yuhai Zhao

76 papers receiving 767 citations

Hit Papers

A skin lesion segmentation network with edge and body fusion 2025 2026 2025 5 10 15
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. A skin lesion segmentation network with edge and body fusion
    2025 19 citations Wang Gao, Keming Mao et al. Applied Soft Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhai Zhao China 16 421 152 141 134 95 95 790
Yu Xue China 13 454 1.1× 178 1.2× 119 0.8× 198 1.5× 96 1.0× 22 898
Giuliano Armano Italy 15 415 1.0× 102 0.7× 120 0.9× 146 1.1× 50 0.5× 94 942
Tansel Özyer Türkiye 18 386 0.9× 208 1.4× 173 1.2× 72 0.5× 60 0.6× 86 904
Saman Forouzandeh Australia 15 483 1.1× 188 1.2× 198 1.4× 166 1.2× 50 0.5× 24 917
Jie Cheng United States 16 423 1.0× 184 1.2× 125 0.9× 148 1.1× 97 1.0× 51 1.0k
Xiaoyue Feng China 16 618 1.5× 166 1.1× 303 2.1× 148 1.1× 65 0.7× 46 1.1k
Pauli Miettinen Germany 14 307 0.7× 89 0.6× 167 1.2× 77 0.6× 182 1.9× 43 791
Yifang Qin China 14 357 0.8× 129 0.8× 169 1.2× 58 0.4× 42 0.4× 37 644
Shumin Deng China 18 976 2.3× 164 1.1× 141 1.0× 104 0.8× 53 0.6× 40 1.2k

Countries citing papers authored by Yuhai Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yuhai Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhai Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhai Zhao. A scholar is included among the top collaborators of Yuhai 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 Yuhai Zhao. Yuhai 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.
2.
Ma, Shengjun, et al.. (2025). An explainable three-way neural network approach for intrusion detection in IoT ecosystem. Internet of Things. 33. 101722–101722.
3.
Zhao, Yuhai, et al.. (2025). Dual-granularity multi-instance multi-label learning with variational autoencoder. Knowledge-Based Systems. 316. 113317–113317.
4.
He, Xue Dong, Tiancheng Zhang, Minghe Yu, et al.. (2025). A probabilistic optimizer for binary neural networks. Neurocomputing. 648. 130297–130297.
5.
Ma, Shengjun, et al.. (2025). A ranked filter-based three-way clustering strategy for intrusion detection in highly secure IoT networks. Computers & Electrical Engineering. 127. 110514–110514. 1 indexed citations
6.
Gao, Wang, et al.. (2025). A skin lesion segmentation network with edge and body fusion. Applied Soft Computing. 170. 112683–112683. 19 indexed citations breakdown →
7.
8.
Yin, Ying, et al.. (2023). Automatic Code Review by Learning the Structure Information of Code Graph. Sensors. 23(5). 2551–2551. 1 indexed citations
9.
Mao, Keming, Gao Wang, Jiale Liu, et al.. (2023). A novel open-source CADs platform for 3D CT pulmonary analysis. Computers in Biology and Medicine. 169. 107878–107878. 2 indexed citations
10.
Zhao, Yuhai, et al.. (2023). Multi-graph multi-label learning with novel and missing labels. Knowledge-Based Systems. 276. 110753–110753. 3 indexed citations
11.
Li, Wenyu, et al.. (2023). BL: An Efficient Index for Reachability Queries on Large Graphs. IEEE Transactions on Big Data. 10(2). 108–121. 1 indexed citations
12.
Xu, Tiantian, et al.. (2022). A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection. Knowledge-Based Systems. 243. 108434–108434. 10 indexed citations
13.
Gong, Yongshun, et al.. (2021). An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 1864–1878. 13 indexed citations
14.
Zhao, Yuhai, et al.. (2021). Multi-graph Multi-label Learning with Dual-granularity Labeling. 2327–2337. 7 indexed citations
15.
Qi, Xin, et al.. (2020). LLR: Learning learning rates by LSTM for training neural networks. Neurocomputing. 394. 41–50. 63 indexed citations
16.
Yin, Ying, et al.. (2020). SAMA: A Fast Self‐Adaptive Memetic Algorithm for Detecting SNP‐SNP Interactions Associated with Disease. BioMed Research International. 2020(1). 5610658–5610658.
17.
Zhao, Yuhai, et al.. (2020). Detecting Disease-Associated SNP-SNP Interactions Using Progressive Screening Memetic Algorithm. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(2). 878–887. 3 indexed citations
18.
Zhao, Yuhai, et al.. (2019). DESeeker: Detecting Epistatic Interactions Using a Two-Stage Differential Evolution Algorithm. IEEE Access. 7. 69604–69613. 10 indexed citations
19.
Qi, Xin, et al.. (2019). S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method. IEEE Access. 7. 183604–183613. 7 indexed citations
20.
Zhang, Junbo, et al.. (2005). Power-aware service-oriented architecture for wireless sensor networks. 37. 6 pp.–6 pp.. 8 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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