Minjia Meng

7.0k total citations · 1 hit paper
161 papers, 6.2k citations indexed

About

Minjia Meng is a scholar working on Analytical Chemistry, Materials Chemistry and Water Science and Technology. According to data from OpenAlex, Minjia Meng has authored 161 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Analytical Chemistry, 66 papers in Materials Chemistry and 53 papers in Water Science and Technology. Recurrent topics in Minjia Meng's work include Analytical chemistry methods development (92 papers), Adsorption and biosorption for pollutant removal (35 papers) and Advanced Photocatalysis Techniques (26 papers). Minjia Meng is often cited by papers focused on Analytical chemistry methods development (92 papers), Adsorption and biosorption for pollutant removal (35 papers) and Advanced Photocatalysis Techniques (26 papers). Minjia Meng collaborates with scholars based in China, Poland and Hong Kong. Minjia Meng's co-authors include Yongsheng Yan, Jian Lu, Yilin Wu, Yonghai Feng, Yingying Qin, Chunxiang Li, Binrong Li, Yanhua Cui, Fanying Meng and Changchang Ma and has published in prestigious journals such as Journal of Hazardous Materials, Langmuir and Applied Catalysis B: Environmental.

In The Last Decade

Minjia Meng

159 papers receiving 6.1k citations

Hit Papers

Synergy between van der waals heterojunction and vacancy ... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minjia Meng China 47 2.7k 1.8k 1.8k 1.7k 1.4k 161 6.2k
Jiangdong Dai China 53 2.5k 0.9× 1.6k 0.9× 1.9k 1.0× 3.3k 1.9× 2.1k 1.5× 204 7.8k
Yilin Wu China 38 1.6k 0.6× 1.1k 0.6× 1.7k 1.0× 1.3k 0.8× 998 0.7× 173 4.2k
Jianming Pan China 59 5.5k 2.0× 983 0.5× 2.6k 1.4× 1.3k 0.8× 2.9k 2.0× 284 10.8k
Jin‐Gang Yu China 46 2.4k 0.9× 1.1k 0.6× 468 0.3× 2.2k 1.3× 1.6k 1.1× 238 7.0k
Qiang Gao China 45 2.1k 0.8× 1.2k 0.7× 875 0.5× 1.4k 0.8× 949 0.7× 200 6.1k
Shangru Zhai China 52 2.9k 1.1× 1.9k 1.0× 409 0.2× 3.5k 2.1× 1.9k 1.4× 292 9.5k
Qingda An China 48 2.2k 0.8× 1.3k 0.7× 361 0.2× 2.9k 1.7× 1.5k 1.1× 197 7.3k
Zuoyi Xiao China 48 2.0k 0.7× 1.3k 0.7× 327 0.2× 3.0k 1.8× 1.2k 0.9× 179 7.2k
Yongzhen Yang China 48 4.8k 1.8× 657 0.4× 752 0.4× 633 0.4× 1.1k 0.8× 282 7.6k
Yanhui Li China 41 3.6k 1.3× 987 0.5× 673 0.4× 4.5k 2.6× 3.2k 2.2× 165 9.5k

Countries citing papers authored by Minjia Meng

Since Specialization
Citations

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

Fields of papers citing papers by Minjia Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjia Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Minjia Meng. A scholar is included among the top collaborators of Minjia Meng 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 Minjia Meng. Minjia Meng 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
2.
Meng, Minjia, Yi Li, Hui Peng, et al.. (2023). Hydrophilic imprinted MnO2 nanowires “coating” membrane with ultrahigh adsorption capacity for highly selective separation of Artemisinin/Artemether. Chemical Engineering Journal. 466. 143020–143020. 19 indexed citations
3.
Ding, Zhiwei, Haoran Lu, Maoxiang Geng, et al.. (2023). Honeycomb-like SBA-15 parceled in 2D GO for ultrafiltration membranes fabrication with ultrahigh permeability and enhanced anti-fouling performance. Separation and Purification Technology. 325. 124694–124694. 6 indexed citations
4.
Chen, Jiahe, Maobin Wei, & Minjia Meng. (2023). Advanced Development of Molecularly Imprinted Membranes for Selective Separation. Molecules. 28(15). 5764–5764. 13 indexed citations
5.
Zhang, Ruixuan, et al.. (2023). Three-Dimensional Porous PVDF Foam Imprinted Membranes with High Flux and Selectivity toward Artemisinin/Artemether. Molecules. 28(21). 7452–7452. 2 indexed citations
6.
He, Shumin, et al.. (2023). Blue-band slot-enhanced nanobeam cavity with porous-GaN cladding. Optical Materials. 147. 114717–114717.
7.
Cui, Yanhua, Zengkai Wang, Binrong Li, et al.. (2022). Fluid-induced piezoelectric field enhancing photocatalytic hydrogen evolution reaction on g-C3N4/LiNbO3/PVDF membrane. Nano Energy. 99. 107429–107429. 44 indexed citations
9.
Meng, Minjia, Binrong Li, Yu Zhu, Yongsheng Yan, & Yonghai Feng. (2021). A novel mixed matrix polysulfone membrane for enhanced ultrafiltration and photocatalytic self-cleaning performance. Journal of Colloid and Interface Science. 599. 178–189. 36 indexed citations
10.
Xu, Yeqing, Ting Huang, Minjia Meng, & Yongsheng Yan. (2021). Fluorescent polydopamine based molecularly imprinted sensor for ultrafast and selective detection of p-nitrophenol in drinking water. Microchimica Acta. 189(1). 25–25. 11 indexed citations
11.
Lu, Jian, Yilin Wu, Minjia Meng, et al.. (2020). Antifouling molecularly imprinted membranes for pretreatment of milk samples: Selective separation and detection of lincomycin. Food Chemistry. 333. 127477–127477. 66 indexed citations
12.
Qin, Yingying, Jian Lu, Fanying Meng, et al.. (2020). Rationally constructing of a novel 2D/2D WO3/Pt/g-C3N4 Schottky-Ohmic junction towards efficient visible-light-driven photocatalytic hydrogen evolution and mechanism insight. Journal of Colloid and Interface Science. 586. 576–587. 53 indexed citations
13.
Cui, Yanhua, Lili Yang, Jian Zheng, et al.. (2020). Synergistic interaction of Z-scheme 2D/3D g-C3N4/BiOI heterojunction and porous PVDF membrane for greatly improving the photodegradation efficiency of tetracycline. Journal of Colloid and Interface Science. 586. 335–348. 99 indexed citations
14.
Meng, Fanying, Yingying Qin, Jian Lu, et al.. (2020). Biomimetic design and synthesis of visible-light-driven g-C3N4 nanotube @polydopamine/NiCo-layered double hydroxides composite photocatalysts for improved photocatalytic hydrogen evolution activity. Journal of Colloid and Interface Science. 584. 464–473. 63 indexed citations
15.
Chen, Li, Jingwen Dai, Bo Hu, et al.. (2019). Recent Progresses on the Adsorption and Separation of Ions by Imprinting Routes. Separation and Purification Reviews. 49(4). 265–293. 27 indexed citations
16.
Feng, Yonghai, Wanli Li, Minjia Meng, Hengbo Yin, & Jianli Mi. (2019). Mesoporous Sn(IV) doping MCM-41 supported Pd nanoparticles for enhanced selective catalytic oxidation of 1,2-propanediol to pyruvic acid. Applied Catalysis B: Environmental. 253. 111–120. 42 indexed citations
17.
Cui, Jiuyun, Atian Xie, Zhou Shi, et al.. (2018). Development of composite membranes with irregular rod-like structure via atom transfer radical polymerization for efficient oil-water emulsion separation. Journal of Colloid and Interface Science. 533. 278–286. 73 indexed citations
18.
Meng, Minjia, et al.. (2017). Fouling Resistant CA/PVA/TiO2 Imprinted Membranes for Selective Recognition and Separation Salicylic Acid from Waste Water. Frontiers in Chemistry. 5. 2–2. 43 indexed citations
20.
Liu, Chun‐Bo, Zhilong Song, Jianming Pan, et al.. (2014). A simple and sensitive surface molecularly imprinted polymers based fluorescence sensor for detection of λ-Cyhalothrin. Talanta. 125. 14–23. 39 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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