Jianmeng Chen

6.7k total citations
184 papers, 5.5k citations indexed

About

Jianmeng Chen is a scholar working on Environmental Engineering, Process Chemistry and Technology and Pollution. According to data from OpenAlex, Jianmeng Chen has authored 184 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Environmental Engineering, 49 papers in Process Chemistry and Technology and 41 papers in Pollution. Recurrent topics in Jianmeng Chen's work include Odor and Emission Control Technologies (48 papers), Microbial Fuel Cells and Bioremediation (40 papers) and Wastewater Treatment and Nitrogen Removal (30 papers). Jianmeng Chen is often cited by papers focused on Odor and Emission Control Technologies (48 papers), Microbial Fuel Cells and Bioremediation (40 papers) and Wastewater Treatment and Nitrogen Removal (30 papers). Jianmeng Chen collaborates with scholars based in China, United States and Spain. Jianmeng Chen's co-authors include Shihan Zhang, Lidong Wang, Jiexu Ye, Zhuowei Cheng, Dongzhi Chen, Yao Shen, Juping You, Christian Kennes, Chenkai Jiang and Yongqi Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Medicine.

In The Last Decade

Jianmeng Chen

178 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianmeng Chen China 41 1.4k 1.2k 1.1k 969 926 184 5.5k
Xueyang Zhang China 41 1.2k 0.8× 2.0k 1.8× 710 0.7× 1.4k 1.5× 667 0.7× 149 6.8k
Yuan Meng China 38 1.4k 1.0× 1.5k 1.3× 804 0.7× 830 0.9× 317 0.3× 142 4.9k
Sujing Li China 35 1.4k 1.0× 1.3k 1.1× 395 0.4× 704 0.7× 356 0.4× 116 3.2k
Bo Wang China 40 676 0.5× 1.4k 1.2× 638 0.6× 1.1k 1.1× 459 0.5× 165 5.6k
Madjid Mohseni Canada 47 519 0.4× 1.2k 1.0× 1.6k 1.5× 1.2k 1.2× 472 0.5× 194 7.1k
Philippe Moulin France 38 1.2k 0.9× 696 0.6× 1.1k 1.0× 3.2k 3.3× 1.4k 1.6× 148 7.6k
Jia Liu China 38 646 0.5× 1.6k 1.4× 843 0.8× 1000 1.0× 744 0.8× 252 5.2k
Marc A. Deshusses United States 53 1.4k 1.0× 1.4k 1.2× 347 0.3× 1.7k 1.8× 1.9k 2.1× 177 8.9k
Lina Liu China 47 1.2k 0.8× 2.1k 1.8× 463 0.4× 1.8k 1.8× 518 0.6× 226 7.3k
Chong Peng China 48 1.1k 0.8× 4.9k 4.2× 1.2k 1.1× 1.3k 1.3× 2.1k 2.3× 276 7.9k

Countries citing papers authored by Jianmeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jianmeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianmeng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jianmeng Chen. A scholar is included among the top collaborators of Jianmeng Chen 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 Jianmeng Chen. Jianmeng Chen 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, Wenjun, et al.. (2025). Machine learning-driven screening and performance prediction of metal-organic frameworks for photocatalytic removal of malodorous methyl mercaptan. Journal of Hazardous Materials Advances. 19. 100772–100772. 1 indexed citations
2.
Zhao, Jingkai, et al.. (2024). Reaction and deactivation mechanisms of a CeIn/HBEA catalyst with dual active sites for selective catalytic reduction of NO by CH4. Applied Catalysis B: Environmental. 358. 124343–124343. 11 indexed citations
3.
Wang, Chenjie, et al.. (2024). Enhancing bacterial biodegradation of n-hexane by utilizing the adsorption capacity of non-degrading fungi. Chemosphere. 363. 142900–142900. 2 indexed citations
4.
Li, Qian, Xinyu Wang, Wenjun Wang, et al.. (2024). Constructing functionalized carbon quantum dots on amino-rich graphitic carbon nitride to enhance CO2 photocatalytic reduction: Critical role of functional group modulation. Separation and Purification Technology. 355. 129780–129780. 6 indexed citations
5.
Liu, Qi, Hao Zhu, Karen M. Higgins, et al.. (2024). Using Machine Learning to Determine a Suitable Patient Population for Anakinra for the Treatment of COVID‐19 Under the Emergency Use Authorization. Clinical Pharmacology & Therapeutics. 115(4). 890–895. 7 indexed citations
6.
Sun, Zhirong, Zhuowei Cheng, Jingkai Zhao, et al.. (2024). Dielectric barrier discharge plasma for chlorobenzene removal: Performance optimization, process modeling, and toxicity evaluation. Chemical Engineering Science. 300. 120660–120660. 2 indexed citations
7.
Lu, Lichao, et al.. (2024). Biofilm regulation through biological autocrine signaling molecules and its deuterogenic benefits on gaseous dichloromethane degradation. Chemical Engineering Journal. 495. 153585–153585. 6 indexed citations
8.
Zheng, Yi, Zhuowei Cheng, Yun Stone Shi, et al.. (2024). Mechanism of chlorobenzene removal in biotrickling filter enhanced by non-thermal plasma: Insights from biodiversity and functional gene perspectives. Bioresource Technology. 418. 131931–131931. 2 indexed citations
9.
Li, Shaoyu, Yu Zhou, Jingkai Zhao, et al.. (2024). Enhanced 1,2-dichloroethane removal using g-C3N4/Blue TiO2 nanotube array photoanode in microbial photoelectrochemical cells. Chemosphere. 363. 142839–142839. 4 indexed citations
10.
Chen, Jinhui, Tong Zhou, Qun Ye, et al.. (2024). Enhanced propanethiol biodegradation by an optimized propanethiol oxidoreductase in microbial cells within an electrode bioreactor. Process Biochemistry. 147. 505–512.
11.
Wang, Junjie, Zhuowei Cheng, Jiade Wang, et al.. (2023). Enhancement of bio-S0 recovery and revealing the inhibitory effect on microorganisms under high sulfide loading. Environmental Research. 238. 117214–117214. 11 indexed citations
12.
Yu, Jian, Juping You, Piet N.L. Lens, et al.. (2023). Biofilm metagenomic characteristics behind high coulombic efficiency for propanethiol deodorization in two-phase partitioning microbial fuel cell. Water Research. 246. 120677–120677. 12 indexed citations
13.
You, Juping, Jingkai Zhao, Jiexu Ye, et al.. (2023). Configurations of bioelectrochemical reactor for environmental remediation: A review. Chemical Engineering Journal. 471. 144325–144325. 28 indexed citations
14.
15.
Zhang, Yuzhong, Shuangxi Fang, Jianmeng Chen, et al.. (2022). Observed changes in China’s methane emissions linked to policy drivers. Proceedings of the National Academy of Sciences. 119(41). e2202742119–e2202742119. 60 indexed citations
16.
Cheng, Zhuowei, et al.. (2021). Non-thermal plasma coupled with catalysis for VOCs abatement: A review. Process Safety and Environmental Protection. 153. 139–158. 89 indexed citations
17.
18.
Li, Yuanming, Ke Feng, Chao Wu, et al.. (2021). Mass transfer and reaction simultaneously enhanced airlift microbial electrolytic cell system with high gaseous o-xylene removal capacity. Chemosphere. 291(Pt 2). 132888–132888. 15 indexed citations
19.
20.
Chen, Jianmeng. (2011). Heterogeneous catalytic ozone oxidationfor pharmaceutical wastewater treatment. Acta Scientiae Circumstantiae.

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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