Minhui Wang

517 total citations
22 papers, 326 citations indexed

About

Minhui Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minhui Wang has authored 22 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minhui Wang's work include Computational Drug Discovery Methods (7 papers), Machine Learning in Bioinformatics (4 papers) and Machine Learning in Materials Science (4 papers). Minhui Wang is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Machine Learning in Bioinformatics (4 papers) and Machine Learning in Materials Science (4 papers). Minhui Wang collaborates with scholars based in China, Australia and Germany. Minhui Wang's co-authors include Chang Tang, Jiajia Chen, Xiao Zheng, Pichao Wang, Xinwang Liu, Miaomiao Li, Peng Lü, Lijuan Cao, Kai Huang and En Zhu and has published in prestigious journals such as Expert Systems with Applications, Gene and Sensors and Actuators B Chemical.

In The Last Decade

Minhui Wang

18 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minhui Wang China	12	137	125	69	51	41	22	326
Saïd Najah Morocco	8	151 1.1×	49 0.4×	76 1.1×	14 0.3×	35 0.9×	26	293
Pedro H. Bugatti Brazil	12	137 1.0×	84 0.7×	81 1.2×	17 0.3×	17 0.4×	36	335
Yoli Shavit Israel	9	181 1.3×	147 1.2×	37 0.5×	23 0.5×	6 0.1×	14	398
Haihong Yu China	10	33 0.2×	61 0.5×	67 1.0×	27 0.5×	8 0.2×	22	197
Xiaohan Yi China	7	165 1.2×	28 0.2×	49 0.7×	22 0.4×	25 0.6×	15	241
Naiyang Guan China	5	218 1.6×	39 0.3×	62 0.9×	12 0.2×	67 1.6×	12	318
Vladimir Berikov Russia	9	69 0.5×	63 0.5×	106 1.5×	6 0.1×	18 0.4×	40	252
Priscila T. M. Saito Brazil	11	73 0.5×	86 0.7×	95 1.4×	9 0.2×	23 0.6×	31	306
Rongjie Wang China	8	111 0.8×	91 0.7×	27 0.4×	4 0.1×	20 0.5×	25	277

Countries citing papers authored by Minhui Wang

Since Specialization

Citations

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

Fields of papers citing papers by Minhui Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minhui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Minhui Wang. A scholar is included among the top collaborators of Minhui 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 Minhui Wang. Minhui Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Minhui, et al.. (2026). CNN-GCN Coordinated Multimodal Frequency Network for Hyperspectral Image and LiDAR Classification. Remote Sensing. 18(2). 216–216.

Li, Chuang, et al.. (2025). Integrating edge features and complementary attention mechanism for drug response prediction. Knowledge-Based Systems. 319. 113508–113508.

Xiao, Zheng, et al.. (2025). DACMF-DTI: Dual attention embedded cross-modality fusion for drug-target interaction prediction. Knowledge-Based Systems. 326. 114063–114063.

Wang, Minhui, et al.. (2025). Cancer–drug response prediction via feature aggregation and association graph learning. Engineering Applications of Artificial Intelligence. 151. 110671–110671.

Fan, Dongyan, Hai Sun, Yuqing Yang, et al.. (2025). Review of Machine Learning Methods for Steady State Capacity and Transient Production Forecasting in Oil and Gas Reservoir. Energies. 18(4). 842–842. 1 indexed citations

Wang, Minhui, et al.. (2024). Drug side effects prediction via cross attention learning and feature aggregation. Expert Systems with Applications. 248. 123346–123346. 5 indexed citations

Wang, Minhui, et al.. (2024). Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering. Engineering Applications of Artificial Intelligence. 132. 107911–107911. 15 indexed citations

Wang, Minhui, Xin Zou, Jingjing Liu, et al.. (2024). HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects. Neural Networks. 181. 106779–106779. 3 indexed citations

Wang, Minhui, et al.. (2024). Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. Information Fusion. 107. 102323–102323. 11 indexed citations

10.

Liu, Lei, et al.. (2024). Effect of temperature on the electrochemical corrosion behavior of X52 pipeline steel in NS4 simulated solution. International Journal of Electrochemical Science. 20(1). 100883–100883. 1 indexed citations

11.

Wang, Minhui, et al.. (2024). Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction. IEEE Journal of Biomedical and Health Informatics. 28(4). 2416–2427. 19 indexed citations

12.

Zheng, Xiao, Minhui Wang, Kai Huang, & En Zhu. (2023). Global and cross-modal feature aggregation for multi-omics data classification and application on drug response prediction. Information Fusion. 102. 102077–102077. 19 indexed citations

13.

Huang, Xinqi, et al.. (2023). Intratumor microbiota: a novel tumor component. Journal of Cancer Research and Clinical Oncology. 149(9). 6675–6691. 17 indexed citations

14.

Jin, Z M, Minhui Wang, Chang Tang, et al.. (2023). Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion. Computers in Biology and Medicine. 169. 107904–107904. 17 indexed citations

15.

Wang, Huiyuan, Yunpeng Gai, Youfu Zhao, Minhui Wang, & Zhonghua Ma. (2022). The calcium-calcineurin and high-osmolarity glycerol pathways co-regulate tebuconazole sensitivity and pathogenicity in Fusarium graminearum. Pesticide Biochemistry and Physiology. 190. 105311–105311. 10 indexed citations

16.

Luo, Yun, et al.. (2021). A multicolor electrochemiluminescence device based on closed bipolar electrode for rapid visual screening of Salmonella typhimurium. Sensors and Actuators B Chemical. 349. 130761–130761. 25 indexed citations

17.

Zheng, Xiao, et al.. (2019). Gene selection for microarray data classification via adaptive hypergraph embedded dictionary learning. Gene. 706. 188–200. 21 indexed citations

18.

Zhu, Xinzhong, Chang Tang, Pichao Wang, et al.. (2018). Saliency detection via affinity graph learning and weighted manifold ranking. Neurocomputing. 312. 239–250. 29 indexed citations

19.

Wang, Minhui, Chang Tang, & Jiajia Chen. (2018). Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Matrix Completion. BioMed Research International. 2018. 1–12. 22 indexed citations

20.

Tang, Chang, Lijuan Cao, Xiao Zheng, & Minhui Wang. (2017). Gene selection for microarray data classification via subspace learning and manifold regularization. Medical & Biological Engineering & Computing. 56(7). 1271–1284. 26 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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