Minghui Wang

2.8k total citations
100 papers, 2.0k citations indexed

About

Minghui Wang is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Minghui Wang has authored 100 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 40 papers in Artificial Intelligence and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Minghui Wang's work include AI in cancer detection (22 papers), Gene expression and cancer classification (19 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). Minghui Wang is often cited by papers focused on AI in cancer detection (22 papers), Gene expression and cancer classification (19 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). Minghui Wang collaborates with scholars based in China, Japan and United States. Minghui Wang's co-authors include Ao Li, Dongdong Sun, Haichun Li, Jianing Xi, Jianghong Yang, Liang Ding, Changjiang Jin, Yu Xue, Xuebiao Yao and Peng Chen and has published in prestigious journals such as Bioinformatics, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Minghui Wang

90 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghui Wang China 23 995 661 468 411 263 100 2.0k
Saurav Mallik India 27 832 0.8× 447 0.7× 289 0.6× 257 0.6× 195 0.7× 188 2.1k
Ao Li China 32 2.0k 2.0× 751 1.1× 823 1.8× 488 1.2× 436 1.7× 148 3.3k
Lan Huang China 21 522 0.5× 590 0.9× 219 0.5× 144 0.4× 189 0.7× 152 1.7k
Hui Cui China 18 255 0.3× 356 0.5× 105 0.2× 313 0.8× 248 0.9× 97 1.1k
David Bednarski United States 8 1.4k 1.4× 539 0.8× 156 0.3× 97 0.2× 282 1.1× 9 2.2k
Farman Ali Pakistan 30 1.7k 1.7× 468 0.7× 67 0.1× 264 0.6× 582 2.2× 90 3.0k
Abdollah Dehzangi United States 32 2.6k 2.6× 367 0.6× 70 0.1× 197 0.5× 177 0.7× 102 3.5k
Rubén Armañanzas Spain 17 755 0.8× 308 0.5× 212 0.5× 57 0.1× 100 0.4× 37 1.5k
Lin Gao China 33 2.1k 2.1× 389 0.6× 623 1.3× 50 0.1× 148 0.6× 154 3.2k

Countries citing papers authored by Minghui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Wang. A scholar is included among the top collaborators of Minghui 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 Minghui Wang. Minghui Wang 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.
Huang, Mingxin, et al.. (2025). Artificial Intelligence-driven image analysis for standardised programmed death-ligand 1 expression evaluation in non-small cell lung cancer. Diagnostic Pathology. 20(1). 106–106. 1 indexed citations
2.
Zheng, Binbin, et al.. (2025). Enhancing collaboration between teacher and student for effective cross-domain nuclei detection and classification. Biomedical Signal Processing and Control. 106. 107763–107763.
3.
Xiao, Lei, et al.. (2025). Multisource–Multitarget Partial Domain Adaptation for Bearing Fault Diagnosis. IEEE Internet of Things Journal. 12(11). 15897–15910. 3 indexed citations
4.
Shi, Yi, et al.. (2024). MIF: Multi-Shot Interactive Fusion Model for Cancer Survival Prediction Using Pathological Image and Genomic Data. IEEE Journal of Biomedical and Health Informatics. 29(5). 3247–3258. 2 indexed citations
5.
Wang, Minghui, et al.. (2024). Seeking multi-view commonality and peculiarity: A novel decoupling method for lung cancer subtype classification. Expert Systems with Applications. 260. 125397–125397.
6.
Su, Lei, et al.. (2023). Dual consistency semi-supervised nuclei detection via global regularization and local adversarial learning. Neurocomputing. 529. 204–213. 3 indexed citations
7.
8.
Meng, Gang, et al.. (2023). Cross-Domain Nuclei Detection in Histopathology Images Using Graph-Based Nuclei Feature Alignment. IEEE Journal of Biomedical and Health Informatics. 28(1). 78–88. 3 indexed citations
9.
Su, Lei, et al.. (2023). Local augmentation based consistency learning for semi-supervised pathology image classification. Computer Methods and Programs in Biomedicine. 232. 107446–107446. 5 indexed citations
10.
Tian, Chenchen, et al.. (2022). Semi-Supervised Nuclei Detection in Histopathology Images via Location-Aware Adversarial Image Reconstruction. IEEE Access. 10. 42739–42749. 1 indexed citations
11.
Li, Haichun, et al.. (2022). Reconstruction-Assisted Feature Encoding Network for Histologic Subtype Classification of Non-Small Cell Lung Cancer. IEEE Journal of Biomedical and Health Informatics. 26(9). 4563–4574. 17 indexed citations
12.
Liu, Yu, et al.. (2021). TSDLPP: A Novel Two-Stage Deep Learning Framework For Prognosis Prediction Based on Whole Slide Histopathological Images. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(4). 2523–2532. 6 indexed citations
13.
Wang, Minghui, et al.. (2017). A novel method for identifying potential disease-related miRNAs via a disease–miRNA–target heterogeneous network. Molecular BioSystems. 13(11). 2328–2337. 11 indexed citations
14.
Xi, Jianing, Minghui Wang, & Ao Li. (2017). Discovering potential driver genes through an integrated model of somatic mutation profiles and gene functional information. Molecular BioSystems. 13(10). 2135–2144. 20 indexed citations
15.
Sun, Dongdong, Ao Li, Huanqing Feng, & Minghui Wang. (2016). NTSMDA: prediction of miRNA–disease associations by integrating network topological similarity. Molecular BioSystems. 12(7). 2224–2232. 57 indexed citations
16.
Li, Ao, et al.. (2016). A Bipartite Network-Based Method for Prediction of Long Non-Coding RNA–Protein Interactions. Genomics Proteomics & Bioinformatics. 14(1). 62–71. 81 indexed citations
17.
Shen, Yi, et al.. (2015). Discovering key regulatory mechanisms from single-factor and multi-factor regulations in glioblastoma utilizing multi-dimensional data. Molecular BioSystems. 11(8). 2345–2353. 2 indexed citations
18.
Wang, Minghui, Yujie Jiang, & Xiaoyi Xu. (2015). A novel method for predicting post-translational modifications on serine and threonine sites by using site-modification network profiles. Molecular BioSystems. 11(11). 3092–3100. 15 indexed citations
19.
20.
Wang, Minghui, et al.. (2010). Region-of-Interest based Preprocessing for H.264/AVC Encoding. 39(5). 682–691.

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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