Qingmiao Yu

651 total citations
39 papers, 472 citations indexed

About

Qingmiao Yu is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Industrial and Manufacturing Engineering. According to data from OpenAlex, Qingmiao Yu has authored 39 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pollution, 15 papers in Health, Toxicology and Mutagenesis and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Qingmiao Yu's work include Pharmaceutical and Antibiotic Environmental Impacts (25 papers), Water Quality Monitoring and Analysis (9 papers) and Water Treatment and Disinfection (8 papers). Qingmiao Yu is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (25 papers), Water Quality Monitoring and Analysis (9 papers) and Water Treatment and Disinfection (8 papers). Qingmiao Yu collaborates with scholars based in China, Bangladesh and Qatar. Qingmiao Yu's co-authors include Jinju Geng, Hongqiang Ren, Ke Xu, Hongqiang Ren, Liye Wang, Fuzheng Zhao, Shengnan Li, Xuxiang Zhang, Haidong Hu and Yuli Qian and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Qingmiao Yu

34 papers receiving 468 citations

Peers

Qingmiao Yu

POLLU

HTM

WST

IME

Liye Wang China

Boris Kolar Slovenia

Shuona Chen China

Jiabin Jin China

Adrià Sunyer‐Caldú Spain

Olumuyiwa O. Ogunlaja Nigeria

Jiaxi Tang China

Vânia S. Bessa Portugal

Antoine Gosset France

Amit Pratush China

Liye Wang China

Qingmiao Yu

260 ×1.0

POLLU

190 ×1.4

HTM

142 ×1.1

WST

135 ×1.2

IME

54 ×0.7

Citations per year, relative to Qingmiao Yu Qingmiao Yu (= 1×) peers Liye Wang

Countries citing papers authored by Qingmiao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Qingmiao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingmiao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingmiao Yu. A scholar is included among the top collaborators of Qingmiao Yu 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 Qingmiao Yu. Qingmiao Yu 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

Qian, Yuli, Liye Wang, Nanyang Yu, et al.. (2025). Entropy Similarity-Driven Transformation Reaction Molecular Networking Reveals Transformation Pathways and Potential Risks of Emerging Contaminants in Wastewater: The Example of Sartans. Environmental Science & Technology. 59(8). 4153–4164. 2 indexed citations

Fan, Fan, et al.. (2025). FT-GNN Tool for Bridging HRMS Features and Bioactivity: Uncovering Unidentified Estrogen Receptor Agonists in Sewage. Environmental Science & Technology. 59(15). 7736–7746.

Liu, Fu, Fan Fan, Qingmiao Yu, Hongqiang Ren, & Jinju Geng. (2025). Variable K_OC and Poor-Quality Data Sources Cause High Discrepancy in Current Mobility Assessment of Organic Substances. ACS ES&T Water. 5(2). 659–669. 1 indexed citations

Yu, Qingmiao, Fuzheng Zhao, Yue Rao, et al.. (2025). Wastewater-Derived Dissolved Organic Matter Composition Mediates Biodegradation of 17β-Estradiol-3-Sulfate by Shaping Assembly Mechanisms of Microbial Taxa. Environmental Science & Technology. 59(47). 25415–25428.

Zhang, Wei, et al.. (2025). Promising application of microalgal-bacterial granular sludge for 17α-ethinylestradiol removal: Effective transformation and detoxification. Bioresource Technology. 438. 133265–133265.

Zhang, Wei, Qingmiao Yu, & Jinju Geng. (2024). Biodegradation of conjugated estrogens in wastewater treatment: species, mechanisms, and influencing factors. 1(1). 1 indexed citations

Qian, Yuli, Liye Wang, Xuebin Wang, et al.. (2024). Unveiling intricate transformation pathways of emerging contaminants during wastewater treatment processes through simplified network analysis. Water Research. 253. 121299–121299. 13 indexed citations

Yu, Qingmiao, et al.. (2024). Photochemical behavior of extracellular polymeric substances in intimately coupled TiO2 photocatalysis and biodegradation system. Bioresource Technology. 416. 131752–131752. 6 indexed citations

Yu, Qingmiao, et al.. (2024). Degradation of conjugated estrogen in visible light-driven intimately coupled photocatalysis and biodegradation system. Bioresource Technology. 406. 131045–131045. 7 indexed citations

10.

Yu, Qingmiao, et al.. (2023). Combining large-scale investigation and quantum chemical calculation of pharmaceuticals: Spatiotemporal patterns of occurrence and structural insights into removal. The Science of The Total Environment. 908. 168081–168081. 7 indexed citations

11.

Liu, Fu, et al.. (2023). Degradation of pharmaceuticals in UV/H2O2 process: EEM-based kinetic model, transformation products and corresponding toxicity evaluation. Journal of environmental chemical engineering. 12(1). 111736–111736. 9 indexed citations

12.

Li, Xiang, Gang Wu, Qingmiao Yu, et al.. (2023). Prediction of pharmaceuticals removal in activated sludge system under different operational parameters using an extended ASM-PhACs model. The Science of The Total Environment. 871. 162065–162065. 6 indexed citations

13.

Wang, Liye, Yuan Lin, Qingmiao Yu, et al.. (2023). Deciphering Microbe-Mediated Dissolved Organic Matter Reactome in Wastewater Treatment Plants Using Directed Paired Mass Distance. Environmental Science & Technology. 58(1). 739–750. 17 indexed citations

14.

Wu, Gang, et al.. (2023). A Graph Neural Network Model with a Transparent Decision-Making Process Defines the Applicability Domain for Environmental Estrogen Screening. Environmental Science & Technology. 57(46). 18236–18245. 7 indexed citations

15.

Zhao, Fuzheng, Qingmiao Yu, & Xuxiang Zhang. (2023). A Mini-Review of Antibiotic Resistance Drivers in Urban Wastewater Treatment Plants: Environmental Concentrations, Mechanism and Perspectives. Water. 15(17). 3165–3165. 4 indexed citations

16.

Geng, Jinju, et al.. (2022). Fate of progesterone and norgestrel in anaerobic/anoxic/oxic (A/A/O) process: Insights from biotransformation and mass flow. The Science of The Total Environment. 856(Pt 1). 158844–158844. 9 indexed citations

17.

Yu, Qingmiao, et al.. (2022). Occurrence and removal of progestogens from wastewater treatment plants in China: Spatiotemporal variation and process comparison. Water Research. 211. 118038–118038. 23 indexed citations

18.

Wu, Simiao, Ying An, Jilai Lu, Qingmiao Yu, & Zhen He. (2021). EDTA-Na2 as a recoverable draw solute for water extraction in forward osmosis. Environmental Research. 205. 112521–112521. 6 indexed citations

19.

Yu, Qingmiao, Jinju Geng, & Hongqiang Ren. (2019). Occurrence and fate of androgens in municipal wastewater treatment plants in China. Chemosphere. 237. 124371–124371. 18 indexed citations

20.

Zhang, Wei, Yinghao Jiang, Qingmiao Yu, et al.. (2015). EGFR Promoter Methylation, EGFR Mutation, and HPV Infection in Chinese Cervical Squamous Cell Carcinoma. Applied immunohistochemistry & molecular morphology. 23(9). 661–666. 8 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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