Menglu Wang

1.6k total citations
74 papers, 1.1k citations indexed

About

Menglu Wang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Menglu Wang has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 8 papers in Electrical and Electronic Engineering and 8 papers in Materials Chemistry. Recurrent topics in Menglu Wang's work include Bone Tissue Engineering Materials (11 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Dental Implant Techniques and Outcomes (5 papers). Menglu Wang is often cited by papers focused on Bone Tissue Engineering Materials (11 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Dental Implant Techniques and Outcomes (5 papers). Menglu Wang collaborates with scholars based in China, United Kingdom and Japan. Menglu Wang's co-authors include Xingdong Zhang, Xuening Chen, Xiangfeng Li, Yumei Xiao, Fuying Chen, Desheng Kong, Chong Bai, Shuxuan Feng, Yujiang Fan and Jing Wang and has published in prestigious journals such as Nano Letters, Advanced Functional Materials and Journal of Hazardous Materials.

In The Last Decade

Menglu Wang

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menglu Wang China 20 535 220 134 130 112 74 1.1k
Linlin Liu China 21 554 1.0× 294 1.3× 98 0.7× 185 1.4× 44 0.4× 72 1.5k
Fangqian Wang China 20 607 1.1× 134 0.6× 123 0.9× 85 0.7× 82 0.7× 36 1.1k
Weizhen Chen China 24 522 1.0× 502 2.3× 264 2.0× 132 1.0× 56 0.5× 138 1.9k
Sean McBride United States 17 507 0.9× 328 1.5× 134 1.0× 176 1.4× 143 1.3× 39 1.2k
Zhicheng Zhao China 28 615 1.1× 237 1.1× 185 1.4× 97 0.7× 186 1.7× 66 2.2k
Jongman Lee South Korea 21 515 1.0× 283 1.3× 173 1.3× 212 1.6× 57 0.5× 108 1.7k
Meng Wu China 25 732 1.4× 169 0.8× 115 0.9× 96 0.7× 166 1.5× 62 2.0k
Lu Gan China 24 451 0.8× 425 1.9× 109 0.8× 148 1.1× 59 0.5× 58 1.5k
Mingyu Zhu China 23 647 1.2× 512 2.3× 165 1.2× 87 0.7× 78 0.7× 82 1.9k
Kaiwen Chen China 27 799 1.5× 355 1.6× 299 2.2× 166 1.3× 54 0.5× 112 2.4k

Countries citing papers authored by Menglu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Menglu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menglu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Menglu Wang. A scholar is included among the top collaborators of Menglu 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 Menglu Wang. Menglu 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, Menglu. (2025). Regulation of Algorithmic Decision-Making in China: Development, Problems and Implications. SSRN Electronic Journal. 1 indexed citations
2.
Zhang, Yi, Yingjie Zhang, Na Wang, et al.. (2025). Big Data Governance Institutional Reform, Level of Financialization, and Corporate Innovation. Finance research letters. 90. 109233–109233. 1 indexed citations
3.
Wang, Menglu, et al.. (2025). Functional impacts of molecular weight in partially hydrolyzed guar gums: Rheological characteristics and stabilization of oat protein emulsions. International Journal of Biological Macromolecules. 331(Pt 1). 148375–148375.
4.
Wang, Menglu, et al.. (2025). Deep segmentation of retail customers based on improved DEC and multimodal semantic representation. Alexandria Engineering Journal. 130. 1–10.
6.
Yao, Mingde, et al.. (2025). Language-guided reasoning segmentation for underwater images. Information Fusion. 122. 103177–103177. 3 indexed citations
7.
Liu, Lingyun, et al.. (2024). Can financial agglomeration curb carbon emissions reduction from agricultural sector in China? Analyzing the role of industrial structure and digital finance. Journal of Cleaner Production. 440. 140862–140862. 28 indexed citations
8.
Lai, Yujian, Xuemei Wang, Menglu Wang, et al.. (2024). Synthesis and environmental applications of biochar-supported nano-zero-valent iron composites: a review. Environmental Chemistry Letters. 22(3). 1345–1363. 17 indexed citations
9.
Wang, Menglu, Fuying Chen, Xiangfeng Li, et al.. (2024). Immunomodulatory effects of calcium phosphate microspheres: influences of particle size on macrophage polarization and secretion patterns. Journal of Materials Chemistry B. 13(2). 549–561. 3 indexed citations
10.
Wang, Menglu, et al.. (2024). Surface Sulfur Species Influence Hydrogenation Performance of Palladium-Sulfur Nanosheets. Acta Physico-Chimica Sinica. 40(11). 2309043–2309043. 2 indexed citations
11.
Wang, Menglu, et al.. (2023). Analysis and recognition of post-exercise cardiac state based on heart sound features and cardiac troponin I. European Journal of Applied Physiology. 123(11). 2461–2471. 1 indexed citations
12.
Zhang, Meng, Xuemei Wang, Chaoyang Wei, et al.. (2023). Effects of exogenous phosphates on speciation and bioavailability of arsenic and cadmium in farmland soils. Journal of Soils and Sediments. 23(4). 1832–1843. 8 indexed citations
13.
Xu, Panpan, et al.. (2022). A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma. Neuroradiology. 64(7). 1373–1382. 32 indexed citations
14.
Yang, Liping, Panpan Xu, Mengyue Li, et al.. (2022). PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs. Frontiers in Oncology. 12. 894323–894323. 19 indexed citations
16.
Zheng, Yineng, et al.. (2021). Prediction of exercise sudden death in rabbit exhaustive swimming using deep neural network. BioMedical Engineering OnLine. 20(1). 87–87. 2 indexed citations
17.
Wang, Xiaona, Ming Gao, Menglu Wang, et al.. (2021). Chloride removal from municipal solid waste incineration fly ash using lactic acid fermentation broth. Waste Management. 130. 23–29. 30 indexed citations
18.
Wang, Xiaona, Ming Gao, Menglu Wang, et al.. (2021). Removal of heavy metals in municipal solid waste incineration fly ash using lactic acid fermentation broth. Environmental Science and Pollution Research. 28(44). 62716–62725. 7 indexed citations
19.
Wang, Xiaona, Menglu Wang, Dezhi Zou, et al.. (2020). Comparative study on inorganic Cl removal of municipal solid waste fly ash using different types and concentrations of organic acids. Chemosphere. 261. 127754–127754. 28 indexed citations
20.
Wang, Menglu & Hao Wu. (2016). Level lines of Gaussian Free Field I: Zero-boundary GFF. Stochastic Processes and their Applications. 127(4). 1045–1124. 14 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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