Minghua Wan

1.1k total citations
76 papers, 836 citations indexed

About

Minghua Wan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Minghua Wan has authored 76 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 30 papers in Media Technology and 13 papers in Computational Mechanics. Recurrent topics in Minghua Wan's work include Face and Expression Recognition (48 papers), Remote-Sensing Image Classification (26 papers) and Image Retrieval and Classification Techniques (14 papers). Minghua Wan is often cited by papers focused on Face and Expression Recognition (48 papers), Remote-Sensing Image Classification (26 papers) and Image Retrieval and Classification Techniques (14 papers). Minghua Wan collaborates with scholars based in China, Hong Kong and Australia. Minghua Wan's co-authors include Guowei Yang, Zhihui Lai, Zhong Jin, Shan Gai, Tianming Zhan, Zhangjing Yang, Zebin Wu, Fanlong Zhang, Lei Wang and Hao Zheng and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Minghua Wan

73 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghua Wan China 16 534 279 167 135 127 76 836
Wen-Sheng Chen China 19 881 1.6× 213 0.8× 196 1.2× 102 0.8× 131 1.0× 88 1.2k
Zhonghua Liu China 16 551 1.0× 188 0.7× 248 1.5× 148 1.1× 82 0.6× 66 821
Yulong Wang China 14 608 1.1× 572 2.1× 221 1.3× 253 1.9× 86 0.7× 40 1.1k
Taiping Zhang China 17 818 1.5× 550 2.0× 286 1.7× 72 0.5× 117 0.9× 68 1.3k
Vassilios Chatzis Greece 8 794 1.5× 493 1.8× 248 1.5× 48 0.4× 91 0.7× 29 1.2k
Chunhong Pan China 8 534 1.0× 190 0.7× 219 1.3× 114 0.8× 45 0.4× 14 712
Songde Ma China 18 1.1k 2.0× 202 0.7× 307 1.8× 129 1.0× 224 1.8× 61 1.4k
Mulin Chen China 16 782 1.5× 309 1.1× 481 2.9× 59 0.4× 44 0.3× 41 1.1k
Weizhong Yu China 12 409 0.8× 185 0.7× 321 1.9× 41 0.3× 38 0.3× 38 706

Countries citing papers authored by Minghua Wan

Since Specialization
Citations

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

Fields of papers citing papers by Minghua Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghua Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Minghua Wan. A scholar is included among the top collaborators of Minghua Wan 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 Minghua Wan. Minghua Wan 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.
Ouyang, Xu, Feng Shi, Minghua Wan, et al.. (2025). Oncohepatology: Navigating liver injury in the era of modern cancer therapy. World Journal of Hepatology. 17(6). 106932–106932. 1 indexed citations
2.
Yang, Zhangjing, et al.. (2024). Regularisation constrained denoising discriminant least squares regression for image classification. Expert Systems with Applications. 252. 124253–124253. 5 indexed citations
3.
Wan, Minghua, et al.. (2024). INCOMPLETE multi-view clustering based on low-rank adaptive graph learning. Knowledge-Based Systems. 305. 112562–112562. 1 indexed citations
4.
Wan, Minghua, et al.. (2023). Robust latent nonnegative matrix factorization with automatic sparse reconstruction for unsupervised feature extraction. Information Sciences. 648. 119517–119517. 4 indexed citations
5.
Yang, Zhangjing, Qimeng Fan, Pu Huang, et al.. (2023). Double constrained discriminative least squares regression for image classification. Information Sciences. 647. 119504–119504. 6 indexed citations
6.
Wan, Minghua, et al.. (2023). Structure preserving projections learning via low-rank embedding for image classification. Information Sciences. 648. 119636–119636. 3 indexed citations
7.
Chen, Xueyu, Liang Hu, Zhifei Zhang, et al.. (2023). PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. 1229–1234. 1 indexed citations
8.
Wan, Minghua, et al.. (2023). Two-Dimensional Exponential Sparse Discriminant Local Preserving Projections. Mathematics. 11(7). 1722–1722.
9.
Wan, Minghua, Mengting Ge, Tianming Zhan, et al.. (2021). Sparse Graph Embedding Based on the Fuzzy Set for Image Classification. Complexity. 2021(1). 3 indexed citations
10.
Wan, Minghua, et al.. (2021). Supervised Low-Rank Embedded Regression (SLRER) for Robust Subspace Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 1917–1927. 26 indexed citations
11.
Zhan, Tianming, et al.. (2019). Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 17(9). 1642–1646. 14 indexed citations
12.
Wan, Minghua, Hao Zheng, Guowei Yang, Tianming Zhan, & Wei Huang. (2019). Tri-Direction 2D-Fisher Discriminant Analysis (T2D-FDA) for Feature Extraction. IEEE Access. 7. 114714–114720. 2 indexed citations
13.
Wan, Minghua, et al.. (2018). Sparse two-dimensional discriminant locality-preserving projection (S2DDLPP) for feature extraction. Soft Computing. 23(14). 5511–5518. 14 indexed citations
14.
Wang, Jie, et al.. (2018). Image Processing Technology in Fog and Haze Environment Based on Retinex Theory. DEStech Transactions on Computer Science and Engineering. 2 indexed citations
15.
Wan, Minghua & Zhihui Lai. (2017). Feature Extraction via Sparse Difference Embedding (SDE). KSII Transactions on Internet and Information Systems. 11(7). 5 indexed citations
16.
Wan, Minghua & Zhihui Lai. (2017). Multi-Manifold Locality Graph Embedding Based on the Maximum Margin Criterion (MLGE/MMC) for Face Recognition. IEEE Access. 5. 9823–9830. 8 indexed citations
17.
Yang, Zhangjing, et al.. (2016). Differentiation of Glioblastoma and Lymphoma Using Feature Extraction and Support Vector Machine. CNS & Neurological Disorders - Drug Targets. 16(2). 160–168. 10 indexed citations
18.
Lai, Zhihui, Cairong Zhao, & Minghua Wan. (2012). Fisher Difference Discriminant Analysis: Determining the Effective Discriminant Subspace Dimensions for Face Recognition. Neural Processing Letters. 35(3). 203–220. 7 indexed citations
19.
Wan, Minghua, et al.. (2010). An improved quantum genetic algorithm and its application in path planning of mobile robots. V7–413. 1 indexed citations
20.
Lai, Zhihui, Minghua Wan, & Zhong Jin. (2009). Locality Preserving Embedding. 30. 895–899. 1 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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