Siwei Wang

7.2k total citations · 5 hit papers
196 papers, 4.7k citations indexed

About

Siwei Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Siwei Wang has authored 196 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 71 papers in Computer Vision and Pattern Recognition and 28 papers in Materials Chemistry. Recurrent topics in Siwei Wang's work include Face and Expression Recognition (43 papers), Advanced Clustering Algorithms Research (37 papers) and Advanced Graph Neural Networks (22 papers). Siwei Wang is often cited by papers focused on Face and Expression Recognition (43 papers), Advanced Clustering Algorithms Research (37 papers) and Advanced Graph Neural Networks (22 papers). Siwei Wang collaborates with scholars based in China, United States and France. Siwei Wang's co-authors include Xinwang Liu, En Zhu, Sihang Zhou, Jiyuan Liu, Wenxuan Tu, Pei Zhang, Fanglin Chen, Suyuan Liu, Xinzhong Zhu and Yi Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemistry of Materials and Journal of Power Sources.

In The Last Decade

Siwei Wang

178 papers receiving 4.7k citations

Hit Papers

5 papers align trajectories

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.

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance

2021 301 citations Siwei Wang, Xinwang Liu et al. profile →
Scalable Multi-view Subspace Clustering with Unified Anchors

2021 172 citations Pei Zhang, Siwei Wang et al. profile →
Simple Contrastive Graph Clustering

2023 99 citations Yue Liu, Xihong Yang et al. IEEE Transactions on Neural Networks and Learning Systems profile →
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal

2024 76 citations Ke Liang, Lingyuan Meng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
One-Step Multi-View Clustering With Diverse Representation

2024 48 citations Xinhang Wan, Jiyuan Liu et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siwei Wang China	40	2.4k	2.2k	581	400	389	196	4.7k
Rong Wang China	39	2.8k 1.1×	2.4k 1.1×	1.2k 2.1×	708 1.8×	291 0.7×	355	6.5k
Shuhui Wang China	41	3.3k 1.3×	2.0k 0.9×	875 1.5×	1.3k 3.4×	191 0.5×	293	7.1k
Yu-Xiong Wang China	28	1.6k 0.6×	1.4k 0.6×	923 1.6×	529 1.3×	51 0.1×	85	3.8k
Pei Zhang China	32	715 0.3×	1.2k 0.5×	170 0.3×	710 1.8×	123 0.3×	248	4.0k
Zhixin Li China	29	1.3k 0.5×	927 0.4×	296 0.5×	574 1.4×	236 0.6×	367	4.4k
Xiaofeng He China	20	1.0k 0.4×	1.1k 0.5×	46 0.1×	346 0.9×	227 0.6×	81	3.0k
William F. Punch United States	27	901 0.4×	2.3k 1.0×	185 0.3×	118 0.3×	331 0.9×	81	3.8k
Huanhuan Chen China	35	636 0.3×	1.7k 0.8×	306 0.5×	800 2.0×	85 0.2×	226	4.1k
Xinchao Wang China	41	3.6k 1.5×	1.7k 0.8×	209 0.4×	344 0.9×	43 0.1×	200	5.8k

Countries citing papers authored by Siwei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Siwei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siwei Wang

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

Liu, Meng, Ke Liang, Hao Yu, et al.. (2025). Multiview Temporal Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 18383–18396. 3 indexed citations

Liu, Meng, Ke Liang, Siwei Wang, et al.. (2025). Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11561–11578. 4 indexed citations

Yang, Xihong, et al.. (2024). Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information. Neural Networks. 179. 106563–106563. 1 indexed citations

Zhou, Wei‐Lei, Siwei Wang, Rong Zhang, et al.. (2024). Laponite-activated AIE supramolecular assembly with modulating multicolor luminescence for logic digital encryption and perfluorinated pollutant detection. Biosensors and Bioelectronics. 258. 116343–116343. 5 indexed citations

Wang, Siwei, et al.. (2024). Anchor-based multi-view subspace clustering with hierarchical feature descent. Information Fusion. 106. 102225–102225. 17 indexed citations

Wang, Siwei, Zhibin Dong, Wenxuan Tu, et al.. (2024). A Non-parametric Graph Clustering Framework for Multi-View Data. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16558–16567. 18 indexed citations

Hu, Dayu, Suyuan Liu, Jun Wang, et al.. (2024). Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation. 1456–1466. 5 indexed citations

Wan, Xinhang, Jiyuan Liu, Xinwang Liu, et al.. (2024). One-Step Multi-View Clustering With Diverse Representation. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5774–5786. 48 indexed citations breakdown →

Wang, F., Zhibin Dong, Xihong Yang, et al.. (2024). View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering. 8431–8440. 1 indexed citations

10.

Wang, Shi‐Ping, et al.. (2024). Pressure waves from air gun bubbles: A numerical analysis based on the finite volume method. Physics of Fluids. 36(1). 4 indexed citations

11.

Zhu, Donglin, et al.. (2023). Manta ray foraging optimization based on mechanics game and progressive learning for multiple optimization problems. Applied Soft Computing. 145. 110561–110561. 39 indexed citations

12.

Wang, Siwei, Pei Zhang, En Zhu, et al.. (2023). Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7459–7467. 59 indexed citations

13.

Wang, Siwei, et al.. (2023). A novel fractional system grey prediction model with dynamic delay effect for evaluating the state of health of lithium battery. Energy. 290. 130057–130057. 25 indexed citations

14.

Hu, Jingtao, Bin Xiao, Hu Jin, et al.. (2023). SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1664–1676. 10 indexed citations

15.

Yang, Xihong, Cheng Tan, Yue Liu, et al.. (2023). CONVERT: Contrastive Graph Clustering with Reliable Augmentation. 319–327. 29 indexed citations

16.

Zhang, Pei, et al.. (2023). Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. 7502–7511. 13 indexed citations

17.

Li, Liang, Junpu Zhang, Siwei Wang, et al.. (2023). Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12842–12854. 38 indexed citations

18.

Dong, Zhibin, Yuyang Xiao, Siwei Wang, et al.. (2023). Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18272–18284. 5 indexed citations

19.

Wang, Siwei, et al.. (2021). Improved autoencoder for unsupervised anomaly detection. International Journal of Intelligent Systems. 36(12). 7103–7125. 75 indexed citations

20.

Hu, Jingtao, Miaomiao Li, En Zhu, et al.. (2019). Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. IEEE Access. 7. 136322–136331. 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.

Explore authors with similar magnitude of impact