Minghui Wang

2.4k total citations
72 papers, 2.0k citations indexed

About

Minghui Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Minghui Wang has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 19 papers in Electrical and Electronic Engineering and 13 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Minghui Wang's work include Machine Learning in Bioinformatics (36 papers), Advanced battery technologies research (15 papers) and Genomics and Phylogenetic Studies (14 papers). Minghui Wang is often cited by papers focused on Machine Learning in Bioinformatics (36 papers), Advanced battery technologies research (15 papers) and Genomics and Phylogenetic Studies (14 papers). Minghui Wang collaborates with scholars based in China, United States and South Africa. Minghui Wang's co-authors include Lei Wang, Ao Li, Bin Yu, Zhenyu Xiao, Yu Liu, Zuochao Wang, Yuxiang Bao, Xueke Wu, Dan Zhang and Jianping Lai and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Minghui Wang

66 papers receiving 1.9k 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 24 839 632 589 338 316 72 2.0k
Philip J. Kitson United Kingdom 21 295 0.4× 399 0.6× 200 0.3× 777 2.3× 92 0.3× 30 2.8k
Weiwei Xu China 22 331 0.4× 800 1.3× 942 1.6× 1.0k 3.0× 325 1.0× 69 2.2k
Yuzhen Wang China 29 815 1.0× 755 1.2× 168 0.3× 1.4k 4.2× 115 0.4× 86 2.5k
Yuying Yang China 25 469 0.6× 381 0.6× 438 0.7× 601 1.8× 321 1.0× 85 1.9k
Ben M. Alston United Kingdom 15 200 0.2× 300 0.5× 256 0.4× 1.1k 3.3× 117 0.4× 15 1.9k
Catherine M. Aitchison United Kingdom 18 222 0.3× 568 0.9× 1.0k 1.7× 1.4k 4.3× 84 0.3× 27 2.2k
Christoph Kreisbeck United States 16 321 0.4× 344 0.5× 124 0.2× 844 2.5× 61 0.2× 26 1.7k
Shuzhe Wang China 20 370 0.4× 327 0.5× 394 0.7× 261 0.8× 38 0.1× 57 1.1k
Qiang Zhu China 21 657 0.8× 362 0.6× 87 0.1× 229 0.7× 63 0.2× 57 1.3k
Zhonglin Cao United States 19 401 0.5× 247 0.4× 82 0.1× 798 2.4× 72 0.2× 32 1.7k

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.
Wang, Minghui, et al.. (2025). Application of attention mechanism-based LSTM neural network in stratigraphy identification. Results in Engineering. 27. 105267–105267. 1 indexed citations
2.
Lu, Yan, et al.. (2024). AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning. Biomedical Signal Processing and Control. 90. 105909–105909. 8 indexed citations
3.
Zhang, Chao, Jingwen Liu, Shenghao Zhang, et al.. (2024). Nonflammable Solid‐State Polymer Electrolyte for High‐Safety and Ultra‐Stable Lithium‐Ion Batteries. Batteries & Supercaps. 7(7). 3 indexed citations
4.
Wang, Minghui, et al.. (2024). Res-GCN: Identification of protein phosphorylation sites using graph convolutional network and residual network. Computational Biology and Chemistry. 112. 108183–108183.
5.
Wang, Minghui, Qing Dong, Shan Ji, et al.. (2024). “Coupling-conversion” effect induced by interface-local electric field to improve oxygen reaction kinetics in zinc-air batteries. Chemical Engineering Journal. 481. 148601–148601. 23 indexed citations
6.
Wang, Minghui, Shan Ji, Hui Wang, et al.. (2023). Electrocatalytic performance of Ni-promoted Co nanoclusters supported by N-doped carbon foams for rechargeable Zn-air batteries. Journal of Power Sources. 571. 233069–233069. 11 indexed citations
7.
Zhang, Kai, Caixia Li, Jingwen Liu, et al.. (2023). Defect‐Rich Functional HfO2‐x for Highly Reversible Zn Metal Anode. Small. 20(14). e2306406–e2306406. 17 indexed citations
8.
Wang, Minghui, Shan Ji, Hui Wang, et al.. (2023). Lanthanum modified Fe3N/carbon foam as highly efficient electrode for zinc-air batteries. Journal of Alloys and Compounds. 948. 169713–169713. 12 indexed citations
9.
Liu, Xia, Minghui Wang, & Ao Li. (2022). PhosVarDeep: deep-learning based prediction of phospho-variants using sequence information. PeerJ. 10. e12847–e12847. 2 indexed citations
10.
Zhang, Kai, Caixia Li, Yu Zhang, et al.. (2022). Oxygen vacancies in open-hollow microcapsule enable accelerated kinetics for stable Li-S battery. Journal of Colloid and Interface Science. 629(Pt B). 805–813. 7 indexed citations
11.
Wu, Xueke, Zuochao Wang, Dan Zhang, et al.. (2021). Solvent-free microwave synthesis of ultra-small Ru-Mo2C@CNT with strong metal-support interaction for industrial hydrogen evolution. Nature Communications. 12(1). 4018–4018. 251 indexed citations
12.
Du, Yunmei, Huimin Zhao, Yu Yang, et al.. (2020). (Ni,Co)Se@Ni(OH)2 heterojunction nanosheets as an efficient electrocatalyst for the hydrogen evolution reaction. Dalton Transactions. 50(1). 391–397. 24 indexed citations
13.
Liu, Yu, Ao Li, Xing‐Ming Zhao, & Minghui Wang. (2020). DeepTL-Ubi: A novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species. Methods. 192. 103–111. 22 indexed citations
14.
Wang, Minghui, et al.. (2019). SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso. Journal of Theoretical Biology. 486. 110098–110098. 49 indexed citations
15.
Yu, Bin, Shan Li, Wenying Qiu, et al.. (2018). Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction. BMC Genomics. 19(1). 478–478. 54 indexed citations
16.
Liu, Yu, et al.. (2018). PTM-ssMP: A Web Server for Predicting Different Types of Post-translational Modification Sites Using Novel Site-specific Modification Profile. International Journal of Biological Sciences. 14(8). 946–956. 44 indexed citations
17.
Li, Shan, Xiaoqiang Cui, Zhaomin Yu, et al.. (2018). Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition. Journal of Theoretical Biology. 450. 86–103. 67 indexed citations
18.
Li, Ao, Xiaoyi Xu, He Zhang, & Minghui Wang. (2015). Kinase Identification with Supervised Laplacian Regularized Least Squares. PLoS ONE. 10(10). e0139676–e0139676. 3 indexed citations
19.
20.
Zou, Liang, Mang Wang, Yi Shen, et al.. (2013). PKIS: computational identification of protein kinases for experimentally discovered protein phosphorylation sites. BMC Bioinformatics. 14(1). 247–247. 37 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Philip J. Kitson Breakdown of academic impact, for papers by Weiwei Xu Breakdown of academic impact, for papers by Yuzhen Wang Breakdown of academic impact, for papers by Yuying Yang Breakdown of academic impact, for papers by Ben M. Alston Breakdown of academic impact, for papers by Catherine M. Aitchison Breakdown of academic impact, for papers by Christoph Kreisbeck Breakdown of academic impact, for papers by Shuzhe Wang Breakdown of academic impact, for papers by Qiang Zhu Breakdown of academic impact, for papers by Zhonglin Cao
Rankless by CCL
2026