Jianchao Lee

554 total citations
36 papers, 446 citations indexed

About

Jianchao Lee is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Biomedical Engineering. According to data from OpenAlex, Jianchao Lee has authored 36 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 10 papers in Renewable Energy, Sustainability and the Environment and 10 papers in Biomedical Engineering. Recurrent topics in Jianchao Lee's work include Advanced Photocatalysis Techniques (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Catalytic Processes in Materials Science (5 papers). Jianchao Lee is often cited by papers focused on Advanced Photocatalysis Techniques (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Catalytic Processes in Materials Science (5 papers). Jianchao Lee collaborates with scholars based in China, Japan and United States. Jianchao Lee's co-authors include Qiannan Duan, Yansong Liu, Chen Han, Qiannan Duan, Yunyun Zheng, Zhaoyi Xu, Shourong Zheng, Jiayuan Chen, Yicai Huang and Jiarui Zhang and has published in prestigious journals such as Journal of Hazardous Materials, Chemical Communications and Analytica Chimica Acta.

In The Last Decade

Jianchao Lee

33 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianchao Lee China	10	159	68	65	61	60	36	446
Qiannan Duan China	10	156 1.0×	48 0.7×	54 0.8×	67 1.1×	62 1.0×	27	402
Mohammad Naeem Pakistan	11	89 0.6×	93 1.4×	41 0.6×	70 1.1×	77 1.3×	19	552
Osamah J. Al-sareji Iraq	14	128 0.8×	67 1.0×	53 0.8×	154 2.5×	75 1.3×	32	502
Hantong Qie China	11	213 1.3×	83 1.2×	94 1.4×	130 2.1×	35 0.6×	19	531
Ming Yi China	13	181 1.1×	108 1.6×	100 1.5×	67 1.1×	29 0.5×	24	531
Yining Cao China	6	98 0.6×	75 1.1×	47 0.7×	128 2.1×	29 0.5×	20	480
Yi An China	14	195 1.2×	69 1.0×	194 3.0×	101 1.7×	38 0.6×	44	559
Keming Liu China	14	141 0.9×	130 1.9×	75 1.2×	168 2.8×	35 0.6×	60	907
Jiaxi Tang China	10	206 1.3×	29 0.4×	39 0.6×	97 1.6×	34 0.6×	33	487
Ruqayah Ali Grmasha Iraq	14	119 0.7×	57 0.8×	47 0.7×	154 2.5×	57 0.9×	23	461

Countries citing papers authored by Jianchao Lee

Since Specialization

Citations

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

Fields of papers citing papers by Jianchao Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianchao Lee

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

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.

Duan, Qiannan, et al.. (2025). Advancements and challenges in microplastic detection and risk assessment: Integrating AI and standardized methods. Marine Pollution Bulletin. 212. 117529–117529. 12 indexed citations

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.

Duan, Qiannan, et al.. (2024). Nationwide meta-analysis of microplastic distribution and risk assessment in China's aquatic ecosystems, soils, and sediments. Journal of Hazardous Materials. 477. 135331–135331. 13 indexed citations

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

Yao, Lun, Qiannan Duan, Song Fan, et al.. (2024). An intelligent spectral identification approach for the simultaneous detection of endocrine-disrupting chemicals in aquatic environments. Environmental Research. 264(Pt 2). 120368–120368. 4 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

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

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

10.

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

11.

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

12.

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

13.

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

14.

Xing, Yan, Yunyun Zheng, Jinhong Gao, & Jianchao Lee. (2017). All Ink-jet Printing Strategy for Extensive Exploration of One Chemical Action with Three Interactive Variations. Analytical Sciences. 33(1). 1–3. 3 indexed citations

15.

Lee, Jianchao, et al.. (2016). Photocatalytic Performance of Titanium Dioxide Nanoparticles Doped with Multi-metals. Journal of Advanced Oxidation Technologies. 19(2). 7 indexed citations

16.

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

17.

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

18.

Lee, Jianchao, et al.. (2015). A Novel High‐Throughput Screening of Multicomponent Photocatalysts for Decomposition of Organic Pollutants Based on Fluorescence Imaging. ChemCatChem. 7(23). 3978–3984. 6 indexed citations

19.

Lee, Jianchao, et al.. (2010). A novel formula to describe the velocity profile of free jet flow. Archive of Applied Mechanics. 81(3). 397–402. 7 indexed citations

20.

Lee, Jianchao, Hideo Takahashi, & Y. Matsui. (2005). Crystal structure of catena-poly[(p-hydroxybenzoato)silver(I)-μ-(1R,2R)- (–)-1,2-cyclohexanediamine-κ2N:N′], Ag(C7H5O3)(C6H14N2). Zeitschrift für Kristallographie - New Crystal Structures. 220(3). 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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