Mingcheng Li

962 citations
70 papers · 563 · h-index 15

Impact in

Papers in

    • Identification and Quantification in Food 18
    • Molecular Biology Techniques and Applications 6
    • Metabolomics and Mass Spectrometry Studies 4
    • Phase Equilibria and Thermodynamics 3

Mingcheng Li

61 papers receiving 548 citations

Peers

Mingcheng Li
Comparison fields: 5 of 121
  • Filtration and Separation 13
  • Catalysis 42
  • Endocrinology 28
  • Molecular Medicine 22
  • Computer Vision and Pattern Recognition 58
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Citations per field
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Citations per year

Countries citing papers authored by Mingcheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingcheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingcheng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingcheng Li Line = papers co-authored together Mingcheng Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202141
2 202336
3 202335
4 202335
5 202033
6 202132
7 201126
8 202120
9 202319
10 201918
11 202116
12 202016
13 202116
14 202415
15 201415
16 201314
17 202213
18 202010
19 202210
20
Identification of a novel molecular probe for recognition of human osteosarcoma cell using the cell-SELEX method.
20159

About Mingcheng Li

Mingcheng Li is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Epidemiology, having authored 70 papers that have together received 563 indexed citations. Recurring topics across this work include Identification and Quantification in Food (18 papers), Molecular Biology Techniques and Applications (6 papers), Antibiotic Resistance in Bacteria (5 papers), Thermodynamic properties of mixtures (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Traditional Chinese Medicine Analysis (3 papers), Meat and Animal Product Quality (3 papers) and Phase Equilibria and Thermodynamics (3 papers). The work is most often cited by research in Filtration and Separation (13 citations), Catalysis (42 citations), Endocrinology (28 citations), Molecular Medicine (22 citations) and Computer Vision and Pattern Recognition (58 citations). Mingcheng Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Dingkang Yang, Taotao Fu, Youguang Ma, Chunying Zhu, Xiqun Gao, Fan Li, Fang Wang, Lihua Zhang, Guangxin Yuan and Yuzheng Wang. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of Analysis and Testing, Analytical Biochemistry, The Journal of Chemical Thermodynamics and Chinese Journal of Chemistry.

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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