Haishuai Wang

2.2k total citations
93 papers, 1.4k citations indexed

About

Haishuai Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haishuai Wang has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 21 papers in Signal Processing and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haishuai Wang's work include Emotion and Mood Recognition (14 papers), Complex Network Analysis Techniques (12 papers) and Advanced Graph Neural Networks (11 papers). Haishuai Wang is often cited by papers focused on Emotion and Mood Recognition (14 papers), Complex Network Analysis Techniques (12 papers) and Advanced Graph Neural Networks (11 papers). Haishuai Wang collaborates with scholars based in China, United States and Australia. Haishuai Wang's co-authors include Ziping Zhao, Yixin Chen, Björn W. Schuller, Zixing Zhang, Shirui Pan, Jia Wu, Nicholas Cummins, Chengqi Zhang, Zhongtian Bao and Jianhua Tao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Haishuai Wang

78 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haishuai Wang China	22	603	343	340	203	115	93	1.4k
Christian W. Omlin Norway	18	957 1.6×	102 0.3×	105 0.3×	225 1.1×	84 0.7×	75	1.5k
Zaher Al Aghbari United Arab Emirates	21	608 1.0×	90 0.3×	198 0.6×	394 1.9×	236 2.1×	139	1.7k
Mohammad Ehsan Basiri Iran	20	1.4k 2.4×	99 0.3×	80 0.2×	214 1.1×	302 2.6×	35	1.9k
Benjamin M. Marlin United States	24	1.1k 1.8×	77 0.2×	222 0.7×	568 2.8×	596 5.2×	84	2.4k
Shahla Nemati Iran	12	894 1.5×	96 0.3×	61 0.2×	120 0.6×	159 1.4×	19	1.2k
Muhammad Shahzad Younis Pakistan	13	312 0.5×	107 0.3×	124 0.4×	86 0.4×	107 0.9×	46	1.1k
Ye Zhu Australia	18	474 0.8×	59 0.2×	166 0.5×	197 1.0×	54 0.5×	78	970
Salem A. Alyami Saudi Arabia	23	428 0.7×	113 0.3×	126 0.4×	255 1.3×	37 0.3×	92	1.9k
Heli Sun China	21	733 1.2×	131 0.4×	69 0.2×	127 0.6×	236 2.1×	88	1.6k
Miloš Radovanović Serbia	17	729 1.2×	34 0.1×	284 0.8×	306 1.5×	152 1.3×	60	1.2k

Countries citing papers authored by Haishuai Wang

Since Specialization

Citations

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

Fields of papers citing papers by Haishuai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haishuai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haishuai Wang. A scholar is included among the top collaborators of Haishuai Wang 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 Haishuai Wang. Haishuai Wang 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

Wang, Haishuai, et al.. (2025). InsGNN: Interpretable spatio-temporal graph neural networks via information bottleneck. Information Fusion. 119. 102997–102997. 5 indexed citations

Guo, Jiawei, et al.. (2025). Long-form Hallucination Detection with Self-elicitation. 4082–4100.

Wang, Fangxin, et al.. (2025). Toward Universal Personalization in Federated Learning via Collaborative Foundation Generative Models. IEEE Transactions on Mobile Computing. 24(10). 9695–9708. 2 indexed citations

Gu, Ming, et al.. (2025). Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. Neural Networks. 190. 107612–107612.

Shen, Qianqian, et al.. (2025). Enhancing Bone Mineral Density Estimation from X-ray Images with Cross-Modal Knowledge Distillation. 4861–4871.

Zhao, Ziping, et al.. (2024). Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition. IEEE Journal of Biomedical and Health Informatics. 28(10). 5755–5767. 9 indexed citations

Yu, Zhi, et al.. (2024). Less is more: A closer look at semantic-based few-shot learning. Information Fusion. 114. 102672–102672. 1 indexed citations

Zhang, Zhen, Ning Ma, Ming Gu, et al.. (2024). Structure enhanced prototypical alignment for unsupervised cross-domain node classification. Neural Networks. 177. 106396–106396. 3 indexed citations

Wang, Haishuai, et al.. (2024). CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. 1199–1212. 3 indexed citations

10.

Li, Xu‐Hui, et al.. (2024). Characterizing Submanifold Region for Out-of-Distribution Detection. IEEE Transactions on Knowledge and Data Engineering. 37(1). 130–147. 1 indexed citations

11.

Gao, Yang, Xiang Zhang, Zhongquan Sun, et al.. (2024). Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network. Advanced Science. 12(4). e2404671–e2404671. 6 indexed citations

12.

Bu, Jiajun, et al.. (2024). EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. 2374–2378.

13.

Bu, Jiajun, et al.. (2024). Disentangled Anomaly Detection For Multivariate Time Series. 931–934. 3 indexed citations

14.

Bian, Ning, et al.. (2023). Multi-view domain-adaptive representation learning for EEG-based emotion recognition. Information Fusion. 104. 102156–102156. 39 indexed citations

15.

Wang, Haishuai, et al.. (2023). Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. Neural Networks. 167. 615–625. 5 indexed citations

16.

Xiao, Zhu, et al.. (2023). Learning Co-occurrence Patterns for Next Destination Recommendation. IEEE Transactions on Mobile Computing. 23(6). 7225–7237. 3 indexed citations

17.

Feng, Qibo, et al.. (2022). RSG-Net: A Recurrent Similarity Network With Ghost Convolution for Wheelset Laser Stripe Image Inpainting. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12852–12861. 3 indexed citations

18.

Zhao, Ziping, Nicholas Cummins, Bin Liu, et al.. (2020). Hybrid Network Feature Extraction for Depression Assessment from Speech. OPUS (Augsburg University). 4956–4960. 36 indexed citations

19.

Zhao, Ziping, Zhongtian Bao, Zixing Zhang, et al.. (2019). Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. IEEE Journal of Selected Topics in Signal Processing. 14(2). 423–434. 73 indexed citations

20.

Wang, Haishuai, Qin Zhang, Jia Wu, Shirui Pan, & Yixin Chen. (2018). Time series feature learning with labeled and unlabeled data. Pattern Recognition. 89. 55–66. 94 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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