Guoqiu Wen

731 total citations
40 papers, 550 citations indexed

About

Guoqiu Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Guoqiu Wen has authored 40 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Guoqiu Wen's work include Face and Expression Recognition (24 papers), Advanced Clustering Algorithms Research (10 papers) and Advanced Graph Neural Networks (8 papers). Guoqiu Wen is often cited by papers focused on Face and Expression Recognition (24 papers), Advanced Clustering Algorithms Research (10 papers) and Advanced Graph Neural Networks (8 papers). Guoqiu Wen collaborates with scholars based in China, New Zealand and United States. Guoqiu Wen's co-authors include Yonghua Zhu, Zhaowen Li, Ningxin Xie, Jiangzhang Gan, Wei Zheng, Xiaofeng Zhu, Wei He, Rongyao Hu, Junbo Ma and Xiaohui Cheng and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Neurocomputing.

In The Last Decade

Guoqiu Wen

36 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guoqiu Wen China	13	306	221	105	79	45	40	550
Mohammad Ali Zare Chahooki Iran	10	281 0.9×	281 1.3×	32 0.3×	90 1.1×	51 1.1×	34	627
Daniel Graves Canada	8	298 1.0×	171 0.8×	27 0.3×	47 0.6×	22 0.5×	17	428
Feng Tian China	10	227 0.7×	262 1.2×	29 0.3×	113 1.4×	197 4.4×	36	623
Tingquan Deng China	11	260 0.8×	274 1.2×	198 1.9×	333 4.2×	105 2.3×	57	731
Fardin Akhlaghian Iran	9	294 1.0×	248 1.1×	37 0.4×	39 0.5×	206 4.6×	15	574
Can Gao China	16	394 1.3×	262 1.2×	117 1.1×	344 4.4×	182 4.0×	65	748
Marzieh Zarinbal Iran	9	208 0.7×	178 0.8×	66 0.6×	23 0.3×	23 0.5×	25	445
Man Li China	9	187 0.6×	122 0.6×	45 0.4×	33 0.4×	43 1.0×	35	372
Cheul Hwang South Korea	6	378 1.2×	147 0.7×	98 0.9×	95 1.2×	28 0.6×	11	523
Weiyi Liu China	13	275 0.9×	98 0.4×	64 0.6×	61 0.8×	96 2.1×	66	550

Countries citing papers authored by Guoqiu Wen

Since Specialization

Citations

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

Fields of papers citing papers by Guoqiu Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqiu Wen

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

Wen, Guoqiu, et al.. (2025). A pseudo-labeling approach based on knowledge distillation for graph few-shot learning. Information Processing & Management. 62(6). 104268–104268.

He, Haoqiang, et al.. (2025). Multiplex Graph Representation Learning with Homophily and Consistency. Proceedings of the AAAI Conference on Artificial Intelligence. 39(11). 11835–11842.

Wen, Guoqiu, et al.. (2024). Noise-resistant graph neural networks with manifold consistency and label consistency. Expert Systems with Applications. 245. 123120–123120. 2 indexed citations

Lu, Guangquan, et al.. (2024). A Temporal Knowledge Graph Embedding Model Based on Variable Translation. Tsinghua Science & Technology. 29(5). 1554–1565. 2 indexed citations

Zeng, Xiangxiang, et al.. (2023). Totally Dynamic Hypergraph Neural Networks. 2476–2483. 6 indexed citations

Zhang, Guolin, Zehui Hu, Guoqiu Wen, Junbo Ma, & Xiaofeng Zhu. (2023). Dynamic graph convolutional networks by semi-supervised contrastive learning. Pattern Recognition. 139. 109486–109486. 23 indexed citations

Wen, Guoqiu, et al.. (2022). Multi-scale graph classification with shared graph neural network. World Wide Web. 26(3). 949–966. 7 indexed citations

Wen, Guoqiu, Yonghua Zhu, Linjun Chen, & Shichao Zhang. (2021). One-step spectral rotation clustering with balanced constrains. World Wide Web. 25(1). 259–280. 7 indexed citations

Wen, Guoqiu, et al.. (2021). Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering. The Computer Journal. 64(7). 993–1004. 2 indexed citations

10.

Wen, Guoqiu, et al.. (2020). One-step spectral rotation clustering for imbalanced high-dimensional data. Information Processing & Management. 58(1). 102388–102388. 19 indexed citations

11.

Gan, Jiangzhang, et al.. (2020). One-step spectral clustering based on self-paced learning. Pattern Recognition Letters. 135. 8–14. 12 indexed citations

12.

Lu, Guangquan, et al.. (2019). A Clustering Algorithm via Kernel Function and Locality Preserving Projections. 2. 2620–2625. 2 indexed citations

13.

Wen, Guoqiu, et al.. (2019). Sparse Nonlinear Feature Selection Algorithm via Local Structure Learning. Emerging Science Journal. 3(2). 115–129. 6 indexed citations

14.

Hu, Rongyao, Jie Cao, Debo Cheng, et al.. (2017). Self-representation dimensionality reduction for multi-model classification. Neurocomputing. 253. 154–161. 3 indexed citations

15.

Cheng, Xiaohui, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, & Wei He. (2017). A novel low-rank hypergraph feature selection for multi-view classification. Neurocomputing. 253. 115–121. 24 indexed citations

16.

He, Wei, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, & Guoqiu Wen. (2017). Feature self-representation based hypergraph unsupervised feature selection via low-rank representation. Neurocomputing. 253. 127–134. 21 indexed citations

17.

Zhu, Yonghua, Xuejun Zhang, Rongyao Hu, & Guoqiu Wen. (2017). Adaptive structure learning for low-rank supervised feature selection. Pattern Recognition Letters. 109. 89–96. 10 indexed citations

18.

Hu, Rongyao, Debo Cheng, Guoqiu Wen, et al.. (2016). Low-rank feature selection for multi-view regression. Multimedia Tools and Applications. 76(16). 17479–17495. 16 indexed citations

19.

Li, Zhaowen, Ningxin Xie, & Guoqiu Wen. (2015). Soft coverings and their parameter reductions. Applied Soft Computing. 31. 48–60. 38 indexed citations

20.

Li, Zhaowen, Guoqiu Wen, & Ningxin Xie. (2015). An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster–Shafer theory of evidence: An application in medical diagnosis. Artificial Intelligence in Medicine. 64(3). 161–171. 68 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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