Tingquan Deng

1.1k total citations
57 papers, 731 citations indexed

About

Tingquan Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Tingquan Deng has authored 57 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 20 papers in Computational Theory and Mathematics. Recurrent topics in Tingquan Deng's work include Image Retrieval and Classification Techniques (20 papers), Rough Sets and Fuzzy Logic (17 papers) and Face and Expression Recognition (16 papers). Tingquan Deng is often cited by papers focused on Image Retrieval and Classification Techniques (20 papers), Rough Sets and Fuzzy Logic (17 papers) and Face and Expression Recognition (16 papers). Tingquan Deng collaborates with scholars based in China, Japan and Spain. Tingquan Deng's co-authors include Weiwei Xu, Yuxiao Chen, H.J.A.M. Heijmans, Hamido Fujita, Rong Ma, Changzhong Wang, Qiang Li, Rubo Zhang, De Li Liu and Guanqun Liu and has published in prestigious journals such as Sensors, Pattern Recognition and Information Sciences.

In The Last Decade

Tingquan Deng

48 papers receiving 714 citations

Peers

Tingquan Deng
Feifei Xu China
Zhicai Shi China
Daniel Paternain Spain
Xiaoning Song China
Can Gao China
Aránzazu Jurío Spain
Xiaodong Fan China
Hengrong Ju China
Feifei Xu China
Tingquan Deng
Citations per year, relative to Tingquan Deng Tingquan Deng (= 1×) peers Feifei Xu

Countries citing papers authored by Tingquan Deng

Since Specialization
Citations

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

Fields of papers citing papers by Tingquan Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingquan Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Tingquan Deng. A scholar is included among the top collaborators of Tingquan Deng 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 Tingquan Deng. Tingquan Deng 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.
Wang, Yan, et al.. (2025). Multi-label feature selection via nonlinear mapping and manifold regularization. Information Sciences. 704. 121965–121965. 1 indexed citations
2.
Wang, Jingyu, et al.. (2025). Interpretable multi-view clustering via anchor graph-based tensor decomposition with convergence guarantees. Pattern Recognition. 171. 112124–112124.
3.
Deng, Tingquan, et al.. (2025). Heterogeneous space co-sparse representation: Leveraging fuzzy dependency and feature reconstruction for feature selection. Applied Soft Computing. 175. 113080–113080. 2 indexed citations
4.
Deng, Tingquan, et al.. (2025). Pointwise fuzzy mutual information based multi-label feature selection via feature low-rank regularization. Applied Soft Computing. 179. 113301–113301. 1 indexed citations
5.
Yan, Shuicheng, et al.. (2025). Multi-view K-means clustering via manifold learning and tensor nonconvex regularization. Applied Mathematical Modelling. 149. 116299–116299.
6.
Yang, Taoli, Changzhong Wang, Yiying Chen, & Tingquan Deng. (2024). A robust multi-label feature selection based on label significance and fuzzy entropy. International Journal of Approximate Reasoning. 176. 109310–109310. 7 indexed citations
7.
Wang, Changzhong, et al.. (2024). Multi-label feature selection based on nonlinear mapping. Information Sciences. 680. 121168–121168. 4 indexed citations
8.
Deng, Tingquan, et al.. (2024). Three-way concept lattice from adjunctive positive and negative concepts. International Journal of Approximate Reasoning. 174. 109272–109272. 3 indexed citations
9.
Wang, Changzhong, et al.. (2023). Missing multi-label learning based on the fusion of two-level nonlinear mappings. Information Fusion. 103. 102105–102105. 15 indexed citations
10.
Deng, Tingquan, et al.. (2023). Semi-supervised sparse representation collaborative clustering of incomplete data. Applied Intelligence. 53(24). 31077–31105. 4 indexed citations
11.
Deng, Tingquan, et al.. (2023). Adjunctive three-way concepts from positive and negative concepts in lattice-valued formal contexts. International Journal of Approximate Reasoning. 161. 108989–108989. 3 indexed citations
12.
Deng, Tingquan, et al.. (2023). Adaptive multi-granularity sparse subspace clustering. Information Sciences. 642. 119143–119143. 14 indexed citations
13.
Deng, Tingquan, et al.. (2023). Transformed Schatten-1 penalty based full-rank latent label learning for incomplete multi-label classification. Information Sciences. 650. 119699–119699. 6 indexed citations
14.
Wang, Changzhong, Yan Wang, Tingquan Deng, & Yang Huang. (2023). A nonlinear multi-label learning model based on Tanh mapping. Engineering Applications of Artificial Intelligence. 126. 106837–106837. 7 indexed citations
15.
Deng, Tingquan, et al.. (2019). Low-rank local tangent space embedding for subspace clustering. Information Sciences. 508. 1–21. 99 indexed citations
16.
Deng, Tingquan, et al.. (2015). Comments from the author of “An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets” [Appl. Math. Modell. 37 (2013) 4139–4146]. Applied Mathematical Modelling. 39(23-24). 7744–7745. 2 indexed citations
17.
Sun, Huijie, et al.. (2014). Chicken 15-kDa Selenoprotein Plays Important Antioxidative Function in Splenocytes. Biological Trace Element Research. 161(3). 288–296. 5 indexed citations
18.
Deng, Tingquan. (2013). Median filtering method based on adaptive central weighting for color images. Kongzhi yu juece. 1 indexed citations
19.
Deng, Tingquan, et al.. (2012). An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets. Applied Mathematical Modelling. 37(6). 4139–4146. 49 indexed citations
20.
Deng, Tingquan & H.J.A.M. Heijmans. (2000). Grey-scale morphology based on fuzzy logic. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–22. 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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