Ming Dai

1.7k total citations
51 papers, 1.5k citations indexed

About

Ming Dai is a scholar working on Inorganic Chemistry, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Ming Dai has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Inorganic Chemistry, 16 papers in Materials Chemistry and 15 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Ming Dai's work include Metal-Organic Frameworks: Synthesis and Applications (20 papers), Magnetism in coordination complexes (14 papers) and Thermodynamic properties of mixtures (8 papers). Ming Dai is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (20 papers), Magnetism in coordination complexes (14 papers) and Thermodynamic properties of mixtures (8 papers). Ming Dai collaborates with scholars based in China, United Kingdom and Canada. Ming Dai's co-authors include Jian‐Ping Lang, Zhi‐Gang Ren, Hong‐Xi Li, David James Young, Ping Xie, Jianping Chao, Gaodao Liang, Bing Wu, Jun Chen and Chun‐Yan Ni and has published in prestigious journals such as ACS Nano, Langmuir and Chemical Communications.

In The Last Decade

Ming Dai

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Dai China 20 814 627 320 243 204 51 1.5k
Uwe Schilde Germany 28 886 1.1× 810 1.3× 333 1.0× 164 0.7× 997 4.9× 156 2.4k
José L. Barriada Spain 23 142 0.2× 527 0.8× 107 0.3× 157 0.6× 220 1.1× 48 1.8k
José Armando L. da Silva Portugal 27 1.3k 1.6× 501 0.8× 196 0.6× 51 0.2× 864 4.2× 54 1.9k
Mohamed Sarakha France 32 258 0.3× 878 1.4× 61 0.2× 90 0.4× 334 1.6× 109 2.7k
Xinxin Xu China 21 468 0.6× 485 0.8× 492 1.5× 58 0.2× 146 0.7× 73 1.5k
Yunxia Sui China 24 472 0.6× 491 0.8× 279 0.9× 52 0.2× 736 3.6× 54 1.9k
Demetrio Milea Italy 28 386 0.5× 345 0.6× 41 0.1× 191 0.8× 350 1.7× 84 2.0k
Mário M.Q. Simões Portugal 34 1.2k 1.4× 2.0k 3.2× 105 0.3× 112 0.5× 1.1k 5.2× 118 3.1k
Alberto Pettignano Italy 24 303 0.4× 350 0.6× 39 0.1× 128 0.5× 289 1.4× 75 1.8k
Jason J. Smee United States 15 1.7k 2.1× 554 0.9× 185 0.6× 95 0.4× 451 2.2× 20 2.3k

Countries citing papers authored by Ming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Dai. A scholar is included among the top collaborators of Ming Dai 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 Ming Dai. Ming Dai 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.
Jin, Tonghui, Mingqin Li, Jiangtao Zhou, et al.. (2025). Beyond CO2 Storage: Enzyme-Amyloid Fibril Catalytic Hybrids for Long Cascade Reactions Converting CO2 into Fructose. ACS Nano. 19(4). 4820–4829. 4 indexed citations
2.
Hu, Ou, Haiyan Fu, Xuedong Gong, et al.. (2019). UPLC–Q-TOF/MS-based untargeted metabolomics coupled with chemometrics approach for Tieguanyin tea with seasonal and year variations. Food Chemistry. 283. 73–82. 84 indexed citations
3.
Chen, Liang, Hong‐Xi Li, Ming Dai, Haiyan Li, & Jian‐Ping Lang. (2018). Capturing the Organic Species Derived from the C–C Cleavage and in Situ Oxidation of 1,2,3,4-Tetra(pyridin-4-yl)cyclobutane by [CuCN]n-Based MOFs. Inorganic Chemistry. 57(15). 9160–9166. 10 indexed citations
4.
5.
Huang, Qian, et al.. (2018). Determination of fipronil and its metabolites in feeds by stable isotope dilution ultra high performance liquid chromatography-tandem mass spectrometry. Chinese Journal of Chromatography. 36(7). 629–629. 2 indexed citations
6.
Lei, Yun, Kun Wang, Dandan Huang, et al.. (2018). 2′-Fluoro ribonucleic acid modified DNA dual-probe sensing strategy for enzyme-amplified electrochemical detection of double-strand DNA of PML/RARα related fusion gene. Biosensors and Bioelectronics. 112. 170–176. 13 indexed citations
7.
Song, Hong‐Liang, et al.. (2018). An aptamer@AuNP-modified POSS–polyethylenimine hybrid affinity monolith with a high aptamer coverage density for sensitive and selective recognition of ochratoxin A. Journal of Materials Chemistry B. 6(13). 1965–1972. 32 indexed citations
8.
Liu, Yanhong, et al.. (2015). Synthesis and Fluorescence Properties of Eu3+, Tb3+ Complexes with Schiff Base Derivatives. Journal of Fluorescence. 26(2). 567–576. 13 indexed citations
9.
Dai, Ming, Hong‐Xi Li, & Jian‐Ping Lang. (2015). New approaches to the degradation of organic dyes, and nitro- and chloroaromatics using coordination polymers as photocatalysts. CrystEngComm. 17(26). 4741–4753. 77 indexed citations
10.
11.
Huang, Zhenjun, Hong-Jian Cheng, Ming Dai, et al.. (2013). Solvothermal syntheses and crystal structures of one 1D and two 3D [PbxIy]-based coordination polymers. Inorganic Chemistry Communications. 31. 33–36. 16 indexed citations
12.
Zhang, Dawen, Qiang Yang, Ping Xie, et al.. (2011). The role of cysteine conjugation in the detoxification of microcystin-LR in liver of bighead carp (Aristichthys nobilis): a field and laboratory study. Ecotoxicology. 21(1). 244–252. 23 indexed citations
13.
14.
Li, Lingling, Lei‐Lei Liu, Ming Dai, et al.. (2010). Cracking the framework of bulk CuCN with flexible bipyrazolyl-based ligands to assemble [CuCN]n-based coordination polymers. Dalton Transactions. 39(33). 7659–7659. 53 indexed citations
15.
Xie, Ping, et al.. (2009). Determinations of MC-LR and [Dha7] MC-LR Concentrations and Physicochemical Properties by Liquid Chromatography-Tandem Mass Spectrometry. Bulletin of Environmental Contamination and Toxicology. 83(5). 757–760. 19 indexed citations
16.
Li, Ni-Ya, Zhi‐Gang Ren, Dong Liu, et al.. (2009). Two 1D [Cu I ]-based coordination polymers of tetraphosphine ligands. Inorganic Chemistry Communications. 12(10). 1031–1034. 20 indexed citations
17.
18.
Dai, Ming, Ping Xie, Gaodao Liang, Jun Chen, & Hehua Lei. (2007). Simultaneous determination of microcystin-LR and its glutathione conjugate in fish tissues by liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 862(1-2). 43–50. 70 indexed citations
19.
Wang, Jinben, Yao Lu, Buxing Han, et al.. (1998). The Hydrophobic Effect in the Adsorption Process of Alkyltrimethylammonium Bromides on to Activated Carbon. Adsorption Science & Technology. 16(7). 557–564. 3 indexed citations
20.
Chao, Jianping, Fuqiang Zhang, & Ming Dai. (1992). Studies of thermodynamic properties of binary mixtures containing an alcohol XVIII. Excess molar enthalpies of each of (one of the four butanols + trichloromethane or 1,2-dichloroethane). The Journal of Chemical Thermodynamics. 24(8). 823–827. 4 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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