Min Dai

1.3k total citations · 1 hit paper
50 papers, 982 citations indexed

About

Min Dai is a scholar working on Pollution, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Min Dai has authored 50 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pollution, 7 papers in Control and Systems Engineering and 6 papers in Molecular Biology. Recurrent topics in Min Dai's work include Industrial Technology and Control Systems (4 papers), Heavy metals in environment (4 papers) and Process Optimization and Integration (3 papers). Min Dai is often cited by papers focused on Industrial Technology and Control Systems (4 papers), Heavy metals in environment (4 papers) and Process Optimization and Integration (3 papers). Min Dai collaborates with scholars based in China, Saudi Arabia and Hong Kong. Min Dai's co-authors include Changsheng Peng, Imran Ali, Yucheng Dong, Yinfeng Xu, Hongyi Li, Iffat Naz, Sun Lin, Xing Shen, Jiawei Yang and Xiao Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Hazardous Materials.

In The Last Decade

Min Dai

49 papers receiving 945 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A critical review on the phytoremediation of heavy metals from environment: Performance and challenges

2021 232 citations Xing Shen, Min Dai et al. Chemosphere profile →

Peers

Min Dai

POLLU

WST

MSOR

Tao Cheng China

Haiyan Fu China

Shamshad Ahmad India

Nahid Sultana Bangladesh

Silvia Curteanu Romania

Liang Jing Canada

Lili Shan China

Jingrong Zhang China

Chong Liu China

Tao Cheng China

Min Dai

149 ×0.6

POLLU

144 ×0.9

WST

115 ×0.8

127 ×1.0

62 ×0.5

MSOR

Citations per year, relative to Min Dai Min Dai (= 1×) peers Tao Cheng

Countries citing papers authored by Min Dai

Since Specialization

Citations

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

Fields of papers citing papers by Min Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Dai

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

Shen, Xing, et al.. (2024). Performance and mechanistic study of biochar and magnesium-enhanced phytoremediation in cadmium-contaminated soil by alfalfa. Chemosphere. 362. 142737–142737. 1 indexed citations

Zhou, Min, Xiaolin Ma, Hongfei Wu, et al.. (2024). Paeonol Attenuates Atherosclerosis by Inhibiting Vascular Smooth Muscle Cells Senescence via SIRT1/P53/TRF2 Signaling Pathway. Molecules. 29(1). 261–261. 6 indexed citations

Dai, Min, et al.. (2023). A novel design for fin profile in metal hydride reactor towards heat transfer enhancement: Theoretical derivations and analysis. Journal of Energy Storage. 72. 108570–108570. 13 indexed citations

Li, Junbin, Na Wang, Mengyi Xiong, et al.. (2023). A Reaction-Based Ratiometric Bioluminescent Platform for Point-of-Care and Quantitative Detection Using a Smartphone. Analytical Chemistry. 95(18). 7142–7149. 11 indexed citations

Deng, Yuying, et al.. (2023). Underwater superoleophobic HKUST-1/PDA@SM membrane with excellent stability and anti-fouling performance for oil-in-water emulsion separation. Journal of Membrane Science. 678. 121655–121655. 33 indexed citations

Zhan, Haibo, Weiwei Wu, Zhihui Kuang, et al.. (2023). A comprehensive pan-cancer analysis unveiling the oncogenic effect of plant homeodomain finger protein 14 (PHF14) in human tumors. Frontiers in Genetics. 14. 1073138–1073138. 2 indexed citations

Kennedy, Grace, et al.. (2023). An Unusual Finding: Papillary Tumor of the Pineal Region. Cureus. 15(2). e34725–e34725. 2 indexed citations

Chen, Sheng & Min Dai. (2022). Lipopolysaccharide-Induced lncRNA TMC3-AS1 is Highly Expressed in Osteoporosis and Promotes Osteoblast Apoptosis by Suppressing the Formation of Mature miR-708. SHILAP Revista de lepidopterología. 5 indexed citations

Ji, Bin, et al.. (2022). Functional Connectivity Density in the Sensorimotor Area is Associated with Sleep Latency in Patients with Primary Insomnia. SHILAP Revista de lepidopterología. 8 indexed citations

10.

Wu, Min, et al.. (2022). lncRNA SERPINB9P1 Regulates SIRT6 Mediated Osteogenic Differentiation of BMSCs via miR-545-3p. Calcified Tissue International. 112(1). 92–102. 8 indexed citations

11.

Liu, Yarong, et al.. (2022). Deciphering the combination mechanisms of Gualou–Xiebai herb pair against atherosclerosis by network pharmacology and HPLC-Q-TOF-MS technology. Frontiers in Pharmacology. 13. 941400–941400. 14 indexed citations

12.

Liang, Xiaoxue, Ping Chen, Yongqiang Yang, et al.. (2022). Outcomes and Risk Factors of Bloodstream Infections Caused by Carbapenem-Resistant and Non-Carbapenem-Resistant Klebsiella pneumoniae in China. Infection and Drug Resistance. Volume 15. 3161–3171. 11 indexed citations

13.

Dai, Min, Ting Wang, Junming Wang, et al.. (2022). Imaging characteristics of orbital peripheral nerve sheath tumors: Analysis of 34 cases. World Journal of Clinical Cases. 10(21). 7356–7364. 1 indexed citations

14.

Dai, Min, et al.. (2022). Radiofrequency ablation reduces expression of SELF by upregulating the expression of microRNA-26a/b in the treatment of atrial fibrillation. Journal of Interventional Cardiac Electrophysiology. 65(3). 663–673. 4 indexed citations

15.

Liu, Qin, Zhilu Xu, Min Dai, et al.. (2022). Faecal microbiota transplantations and the role of bacteriophages. Clinical Microbiology and Infection. 29(6). 689–694. 17 indexed citations

16.

Shen, Xing, Min Dai, Jiawei Yang, et al.. (2021). A critical review on the phytoremediation of heavy metals from environment: Performance and challenges. Chemosphere. 291(Pt 3). 132979–132979. 232 indexed citations breakdown →

17.

Dai, Min, et al.. (2020). Prediction of liquid ammonia yield using a novel deep learning‐based heterogeneous pruning ensemble model. Asia-Pacific Journal of Chemical Engineering. 15(2). 3 indexed citations

18.

Dai, Min, Ling Xia, Shaoxian Song, Changsheng Peng, & Alejandro López–Valdivieso. (2016). Adsorption of As(V) inside the pores of porous hematite in water. Journal of Hazardous Materials. 307. 312–317. 70 indexed citations

19.

Zheng, Gang, et al.. (2011). ECG waveform data extraction from paper ECG recordings by K-means method. Computing in Cardiology. 797–800. 4 indexed citations

20.

Dai, Min, et al.. (2002). Suppressive effect of spinal dorsal-horn neuronal activity by local spinal-cord cooling is reversed by naloxone in cats. Journal of Anesthesia. 16(3). 211–215. 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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