Qiannan Duan

499 total citations
27 papers, 402 citations indexed

About

Qiannan Duan is a scholar working on Biomedical Engineering, Materials Chemistry and Water Science and Technology. According to data from OpenAlex, Qiannan Duan has authored 27 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 7 papers in Materials Chemistry and 6 papers in Water Science and Technology. Recurrent topics in Qiannan Duan's work include Spectroscopy and Chemometric Analyses (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and Water Quality Monitoring and Analysis (4 papers). Qiannan Duan is often cited by papers focused on Spectroscopy and Chemometric Analyses (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and Water Quality Monitoring and Analysis (4 papers). Qiannan Duan collaborates with scholars based in China, Hong Kong and United Kingdom. Qiannan Duan's co-authors include Jianchao Lee, Yansong Liu, Chen Han, Zhaoyi Xu, Shourong Zheng, Yunyun Zheng, Jiayuan Chen, Yicai Huang, Xiaoli Zhu and Pengwei Yan and has published in prestigious journals such as Nature Communications, Journal of Hazardous Materials and Chemical Communications.

In The Last Decade

Qiannan Duan

24 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiannan Duan China	10	156	67	62	60	54	27	402
Jianchao Lee China	10	159 1.0×	61 0.9×	60 1.0×	59 1.0×	65 1.2×	36	446
Jiaxi Tang China	10	206 1.3×	97 1.4×	34 0.5×	82 1.4×	39 0.7×	33	487
Shengxin Zhang China	3	327 2.1×	83 1.2×	44 0.7×	58 1.0×	46 0.9×	5	474
Haoshuai Li China	13	238 1.5×	81 1.2×	41 0.7×	44 0.7×	60 1.1×	56	481
Ahmed Wali Tunisia	12	169 1.1×	39 0.6×	54 0.9×	122 2.0×	35 0.6×	15	411
Dharmendra Kumar Jigyasu India	6	158 1.0×	86 1.3×	27 0.4×	79 1.3×	31 0.6×	14	371
Mohammad Naeem Pakistan	11	89 0.6×	70 1.0×	77 1.2×	86 1.4×	41 0.8×	19	552
Mohamed S. Shams Egypt	9	161 1.0×	101 1.5×	46 0.7×	40 0.7×	40 0.7×	12	482
Aneta Zwolak Poland	6	256 1.6×	105 1.6×	99 1.6×	52 0.9×	27 0.5×	8	476
Partha Pratim Baruah India	10	127 0.8×	43 0.6×	31 0.5×	32 0.5×	21 0.4×	41	375

Countries citing papers authored by Qiannan Duan

Since Specialization

Citations

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

Fields of papers citing papers by Qiannan Duan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiannan Duan

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

Liu, Qiqi, Zhanxia Gao, Xiangyun Zhang, et al.. (2025). Assembly of Genetically Engineered Ionizable Protein Nanocage-based Nanozymes for Intracellular Superoxide Scavenging. Nature Communications. 16(1). 1123–1123. 7 indexed citations

Zhang, Hailong, Qiannan Duan, Jianchao Lee, et al.. (2025). A multi-component heavy metal detection method using UV-Vis superimposed spectrum and deep learning. Journal of Hazardous Materials. 496. 139187–139187.

Qin, Y., Qiannan Duan, H. Wang, et al.. (2025). Advances and innovations in machine learning-based spectral detection methods for trace organic pollutants. The Analyst. 151(2). 356–388.

Lee, Jianchao, et al.. (2024). A novel method for multi-pollutant monitoring in water supply systems using chemical machine vision. Environmental Science and Pollution Research. 31(18). 26555–26566. 1 indexed citations

Duan, Qiannan, et al.. (2024). Machine learning assisted adsorption performance evaluation of biochar on heavy metal. Frontiers of Environmental Science & Engineering. 18(5). 13 indexed citations

Liu, Lu, et al.. (2024). Simultaneous quantification of multiple chemical properties of soil solution using smart spectroscopy. Journal of Soils and Sediments. 24(4). 1694–1703. 1 indexed citations

Wang, Yahui, Wenwen Xue, Qiannan Duan, & Hongfang Zhang. (2024). Regeneratable bioinspired nanochannels for highly sensitive electrochemical detection of glycated albumin. Talanta. 281. 126807–126807. 1 indexed citations

Guo, Jiahua, et al.. (2023). Freshwater crustacean exposed to active pharmaceutical ingredients: ecotoxicological effects and mechanisms. Environmental Science and Pollution Research. 30(17). 48868–48902. 11 indexed citations

Guo, Zhiqiang, Qiannan Duan, Wenjing Wang, et al.. (2022). A spectral learning path for simultaneous multi-parameter detection of water quality. Environmental Research. 216(Pt 4). 114812–114812. 8 indexed citations

10.

Ma, Zhihua, et al.. (2021). Growth Inhibition and Oxidative Stress in Two Green Algal Species Exposed to Erythromycin. JAWRA Journal of the American Water Resources Association. 57(4). 628–637. 11 indexed citations

11.

Ma, Guodong, et al.. (2020). Machine learning for total organic carbon analysis of environmental water samples using high-throughput colorimetric sensors. The Analyst. 145(6). 2197–2203. 12 indexed citations

12.

Duan, Qiannan, et al.. (2020). Machine learning based on holographic scattering spectrum for mixed pollutants analysis. Analytica Chimica Acta. 1143. 298–305. 10 indexed citations

13.

Duan, Qiannan, Yuan Hu, Shourong Zheng, et al.. (2019). Machine learning for mixture toxicity analysis based on high-throughput printing technology. Talanta. 207. 120299–120299. 12 indexed citations

14.

Duan, Qiannan, et al.. (2019). A color-spectral machine learning path for analysis of five mixed amino acids. Chemical Communications. 56(7). 1058–1061. 18 indexed citations

15.

Duan, Qiannan & Jianchao Lee. (2019). Fast-developing machine learning support complex system research in environmental chemistry. New Journal of Chemistry. 44(4). 1179–1184. 8 indexed citations

16.

Wang, Wenjing, et al.. (2019). High-Throughput Screening of Multimetal Sulfides-Modified g-C3N4 for Degradation of Organic Contaminations Based on Ink-Jet Printing (IJP) Technology. Catalysis Letters. 150(6). 1650–1658. 3 indexed citations

17.

Duan, Qiannan, Jianchao Lee, Han Chen, & Yunyun Zheng. (2017). Preparation and catalytic performance of copper-containing magnetic catalysts for degradation of azo dye (direct violet). Water Science & Technology. 76(11). 3069–3078. 5 indexed citations

18.

Lee, Jianchao, et al.. (2016). A non-traditional energy transfer process in CWPO heterogeneous reaction for wastewater treatment. Process Safety and Environmental Protection. 114. 142–147. 15 indexed citations

19.

Duan, Qiannan, et al.. (2016). Distribution of Heavy Metal Pollution in Surface Soil Samples in China: A Graphical Review. Bulletin of Environmental Contamination and Toxicology. 97(3). 303–309. 228 indexed citations

20.

Lee, Jianchao, Ming Wang, Na Xu, et al.. (2015). Study on mass transfer of droplets in narrow space. Chemical Engineering Science. 134. 489–495. 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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