Meiying Wang

1.4k total citations
30 papers, 1.1k citations indexed

About

Meiying Wang is a scholar working on Molecular Biology, Pollution and Genetics. According to data from OpenAlex, Meiying Wang has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pollution and 4 papers in Genetics. Recurrent topics in Meiying Wang's work include Wastewater Treatment and Nitrogen Removal (3 papers), Gut microbiota and health (3 papers) and Anaerobic Digestion and Biogas Production (3 papers). Meiying Wang is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (3 papers), Gut microbiota and health (3 papers) and Anaerobic Digestion and Biogas Production (3 papers). Meiying Wang collaborates with scholars based in China, Canada and Taiwan. Meiying Wang's co-authors include Zhaoxia Ji, André E. Nel, Huan Meng, Xiangsheng Liu, Chong Hyun Chang, Huiyu Liu, Huibin Chen, Sheng Chang, Tina M. Sager and Saji George and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and ACS Nano.

In The Last Decade

Meiying Wang

29 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
Meiying Wang China 11 347 333 330 303 118 30 1.1k
Mohammad Amin Moosavi Iran 21 503 1.4× 403 1.2× 692 2.1× 237 0.8× 109 0.9× 61 1.8k
Yanling Ma China 18 683 2.0× 231 0.7× 438 1.3× 190 0.6× 62 0.5× 38 2.0k
Chunjing Guo China 21 150 0.4× 300 0.9× 437 1.3× 330 1.1× 67 0.6× 56 1.6k
Amruta Manke United States 10 897 2.6× 456 1.4× 293 0.9× 227 0.7× 82 0.7× 12 2.0k
Lulu Hou China 22 292 0.8× 231 0.7× 463 1.4× 268 0.9× 41 0.3× 57 1.5k
Wen Jiang China 17 426 1.2× 599 1.8× 384 1.2× 259 0.9× 151 1.3× 39 1.3k
Zhe Cheng China 17 595 1.7× 572 1.7× 492 1.5× 390 1.3× 117 1.0× 30 1.8k
Azhwar Raghunath India 19 508 1.5× 178 0.5× 640 1.9× 89 0.3× 61 0.5× 27 1.7k
Tatsushi Toyooka Japan 22 544 1.6× 263 0.8× 519 1.6× 148 0.5× 70 0.6× 58 1.5k
Lan Ma China 21 178 0.5× 202 0.6× 759 2.3× 127 0.4× 105 0.9× 64 1.6k

Countries citing papers authored by Meiying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meiying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Meiying Wang. A scholar is included among the top collaborators of Meiying 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 Meiying Wang. Meiying 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, Meiying, Wenhao Zhao, Ying Chen, et al.. (2025). Advanced three-dimensional prediction model based on stable machine learning for soil pollution: A case study from a contaminated site in Southern China. Journal of Hazardous Materials. 494. 138561–138561. 2 indexed citations
2.
Chen, Haiyan, Yajing Qu, Wenhao Zhao, et al.. (2025). Improved vertical distribution prediction of soil VOCs contamination in site-scale utilizing ensemble machine learning approach integrated with molecular descriptors. Journal of Hazardous Materials. 496. 139452–139452.
3.
Zhao, Wenhao, et al.. (2024). Investigation of greenhouse gas emissions in soil remediation activities based on the integration of machine learning models and life cycle assessment. Journal of Cleaner Production. 487. 144630–144630. 4 indexed citations
4.
Yu, Xinwen, Meiying Wang, Peng Jia, et al.. (2024). Association Between Per- and Polyfluoroalkyl Substance Exposures and Thyroid Homeostasis Parameters. The Journal of Clinical Endocrinology & Metabolism. 110(8). e2723–e2736. 2 indexed citations
5.
Sun, Qingqing, Guoqiang Zhang, Zhongqiu Liu, et al.. (2024). Synergistic enhancement of catalytic hydrodeoxygenation performance by oxygen vacancies and frustrated Lewis pairs. Fuel. 382. 133748–133748. 2 indexed citations
6.
7.
Wang, Meiying, Huibin Chen, & Sheng Chang. (2024). Investigation of volatile fatty acids production in biological hydrolysis of waste activated sludge via microbial community network and fermentation pathway analyses. Journal of environmental chemical engineering. 12(2). 112056–112056. 6 indexed citations
8.
Qu, Yajing, et al.. (2024). New insights into assembly processes and driving factors of urban soil microbial community under environmental stress in Beijing. The Science of The Total Environment. 947. 174551–174551. 11 indexed citations
9.
10.
Wang, Meiying, Huibin Chen, & Sheng Chang. (2021). Linkage among the combined temperature–retention time condition, microbial interaction, community structure, and process performance in the hydrolysis of waste activated sludge. Bioresource Technology. 331. 125029–125029. 20 indexed citations
11.
Chen, Huibin, Meiying Wang, & Sheng Chang. (2020). Disentangling Community Structure of Ecological System in Activated Sludge: Core Communities, Functionality, and Functional Redundancy. Microbial Ecology. 80(2). 296–308. 45 indexed citations
12.
Zhang, Guodong, et al.. (2018). Primary angiitis of the central nervous system mimicking a cerebellar tumor. British Journal of Neurosurgery. 35(3). 367–369. 10 indexed citations
13.
Meng, Huan, Meiying Wang, Huiyu Liu, et al.. (2015). Use of a Lipid-Coated Mesoporous Silica Nanoparticle Platform for Synergistic Gemcitabine and Paclitaxel Delivery to Human Pancreatic Cancer in Mice. ACS Nano. 9(4). 3540–3557. 371 indexed citations
14.
Qi, Hai-Ying, Lixia Jiang, Shuping Li, et al.. (2014). Anatomical and hemodynamic evaluations of the heart and pulmonary arterial pressure in healthy children residing at high altitude in China. IJC Heart & Vasculature. 7. 158–164. 5 indexed citations
15.
Miao, Jianhua, et al.. (2013). Tissue culture of Sophora tonkinensis Gapnep. and its quality evaluation. Pharmacognosy Magazine. 9(36). 323–323. 4 indexed citations
16.
Wang, Meiying, et al.. (2010). Screening of plant endophytic actinomycetes producing chitinase and its antagonistic activity against Sclerotinia sclerotiorum.. SHILAP Revista de lepidopterología. 36(6). 615–622. 1 indexed citations
17.
Chang, Lee‐Wen, Lih‐Jeng Juang, Bor-Sen Wang, et al.. (2010). Antioxidant and antityrosinase activity of mulberry (Morus alba L.) twigs and root bark. Food and Chemical Toxicology. 49(4). 785–790. 145 indexed citations
18.
Wang, Meiying. (2007). Screening of antagonistic endophytic actinomycetes against tomato Pathogens and biocontrol effect on tomato leaf mould. Journal of Northwest A & F University. 1 indexed citations
19.
Ember, Julia A., et al.. (1997). Cloning and functional characterization of the mouse C3a anaphylatoxin receptor gene. Immunogenetics. 47(1). 64–72. 33 indexed citations
20.
Wang, Meiying, et al.. (1992). [Lack of mutagenicity and teratogenicity of 16-methylene-17 alpha-acetoxy-19-norprogesterone].. PubMed. 13(2). 183–6. 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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