Shiping Wang

5.6k total citations · 2 hit papers
193 papers, 3.7k citations indexed

About

Shiping Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shiping Wang has authored 193 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Computer Vision and Pattern Recognition, 106 papers in Artificial Intelligence and 17 papers in Information Systems. Recurrent topics in Shiping Wang's work include Face and Expression Recognition (50 papers), Advanced Graph Neural Networks (38 papers) and Advanced Image and Video Retrieval Techniques (32 papers). Shiping Wang is often cited by papers focused on Face and Expression Recognition (50 papers), Advanced Graph Neural Networks (38 papers) and Advanced Image and Video Retrieval Techniques (32 papers). Shiping Wang collaborates with scholars based in China, United States and Singapore. Shiping Wang's co-authors include Wenzhong Guo, William Zhu, Zhaoliang Chen, Jianwen Wang, Qingxin Zhu, Shide Du, Yuanfei Dai, Lele Fu, Jinyu Cai and Guobao Xiao and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Shiping Wang

174 papers receiving 3.6k citations

Hit 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.

Deep Multimodal Representation Learning: A Survey

2019 307 citations Wenzhong Guo, Shiping Wang et al. profile →
Learnable graph convolutional network and feature fusion for multi-view learning

2023 110 citations Zhaoliang Chen, Wenzhong Guo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shiping Wang China	33	1.9k	1.7k	379	355	352	193	3.7k
Lifang He China	33	2.2k 1.2×	1.0k 0.6×	164 0.4×	431 1.2×	319 0.9×	175	4.2k
Xiao-Ming Wu China	27	1.9k 1.0×	1.3k 0.8×	135 0.4×	520 1.5×	243 0.7×	165	3.9k
Deng Cai China	27	2.1k 1.1×	3.5k 2.1×	127 0.3×	344 1.0×	344 1.0×	67	5.5k
Wei Peng United States	24	1.4k 0.7×	1.5k 0.9×	79 0.2×	353 1.0×	188 0.5×	123	3.3k
Benyu Zhang China	18	1.6k 0.8×	2.4k 1.4×	99 0.3×	528 1.5×	205 0.6×	36	3.8k
Quanquan Gu United States	32	2.3k 1.2×	900 0.5×	108 0.3×	894 2.5×	352 1.0×	142	3.8k
C.A. Murthy India	25	1.6k 0.8×	1.4k 0.8×	263 0.7×	326 0.9×	241 0.7×	104	3.1k
Marius Kloft Germany	25	1.7k 0.9×	998 0.6×	96 0.3×	156 0.4×	164 0.5×	86	3.0k
Jie Gui China	30	975 0.5×	2.1k 1.3×	181 0.5×	165 0.5×	565 1.6×	106	4.1k
Dezhong Peng China	28	1.4k 0.7×	2.0k 1.2×	217 0.6×	139 0.4×	175 0.5×	168	3.5k

Countries citing papers authored by Shiping Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shiping Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiping Wang

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

1.

Wang, X. Sean, et al.. (2025). Multi-view Representation Learning with Decoupled private and shared Propagation. Knowledge-Based Systems. 310. 112956–112956. 1 indexed citations

2.

Chen, Zexi, et al.. (2025). Deep random walk inspired multi-view graph convolutional networks for semi-supervised classification. Applied Intelligence. 55(6). 1 indexed citations

3.

Du, Shide, et al.. (2025). Scalable multi-modal representation learning networks. Artificial Intelligence Review. 58(7).

4.

Xiao, Shunxin, et al.. (2024). Unified structure-aware feature learning for Graph Convolutional Network. Expert Systems with Applications. 254. 124397–124397.

5.

Wang, Shiping, et al.. (2024). Attention-based stackable graph convolutional network for multi-view learning. Neural Networks. 180. 106648–106648. 4 indexed citations

6.

Wang, Shiping, et al.. (2024). Efficient multi-view graph convolutional networks via local aggregation and global propagation. Expert Systems with Applications. 266. 126131–126131. 1 indexed citations

7.

Huang, Aiping, Zhihao Wu, Yanchao Tan, et al.. (2024). Multi-view heterogeneous graph learning with compressed hypergraph neural networks. Neural Networks. 179. 106562–106562. 4 indexed citations

8.

Shi, Yiqing, et al.. (2024). Adaptive-propagating heterophilous graph convolutional network. Knowledge-Based Systems. 302. 112389–112389. 2 indexed citations

9.

Shi, Yiqing, et al.. (2024). Adaptive graph active learning with mutual information via policy learning. Expert Systems with Applications. 255. 124773–124773. 2 indexed citations

10.

Chen, Zhaoliang, et al.. (2024). Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs. Neural Networks. 174. 106225–106225. 7 indexed citations

11.

Du, Shide, et al.. (2024). UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. IEEE Transactions on Image Processing. 33. 3399–3412. 15 indexed citations

12.

Huang, Yang, et al.. (2024). Inhomogeneous Diffusion-Induced Network for Multiview Semi-Supervised Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8606–8618. 1 indexed citations

13.

Dai, Yuanfei, Bin Zhang, & Shiping Wang. (2024). Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1697–1708. 1 indexed citations

14.

Tan, Yanchao, Wenzhong Guo, Weiming Liu, et al.. (2024). Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. 1310–1323.

15.

Cai, Jinyu, et al.. (2024). Deep Masked Graph Node Clustering. IEEE Transactions on Computational Social Systems. 11(6). 7257–7270. 3 indexed citations

16.

Chen, Zhaoliang, et al.. (2023). Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion. Information Sciences. 658. 120012–120012. 5 indexed citations

17.

Lin, Renjie, Shide Du, Shiping Wang, & Wenzhong Guo. (2023). Consistent graph embedding network with optimal transport for incomplete multi-view clustering. Information Sciences. 647. 119418–119418. 11 indexed citations

18.

Wang, Shiping, et al.. (2023). Robust weighted co-clustering with global and local discrimination. Pattern Recognition. 138. 109405–109405. 8 indexed citations

19.

Tan, Yanchao, Weiming Liu, Fan Wang, et al.. (2023). Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. 6234–6242. 9 indexed citations

20.

Xiao, Guobao, Jiayi Ma, Shiping Wang, & Chang Wen Chen. (2020). Deterministic Model Fitting by Local-Neighbor Preservation and Global-Residual Optimization. IEEE Transactions on Image Processing. 29. 8988–9001. 25 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