Ming Wei

523 total citations
34 papers, 373 citations indexed

About

Ming Wei is a scholar working on Plant Science, Biomaterials and Artificial Intelligence. According to data from OpenAlex, Ming Wei has authored 34 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Biomaterials and 5 papers in Artificial Intelligence. Recurrent topics in Ming Wei's work include Plant tissue culture and regeneration (3 papers), Topic Modeling (2 papers) and IoT and Edge/Fog Computing (2 papers). Ming Wei is often cited by papers focused on Plant tissue culture and regeneration (3 papers), Topic Modeling (2 papers) and IoT and Edge/Fog Computing (2 papers). Ming Wei collaborates with scholars based in China, Australia and United Kingdom. Ming Wei's co-authors include Kathryn J. Steadman, Harendra S. Parekh, Siyu Cao, Baoqing Zhu, Shuxun Liu, Yiqing Li, Bolin Zhang, Shaoyang Wang, Haile Ma and Haihui Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Biomacromolecules.

In The Last Decade

Ming Wei

27 papers receiving 366 citations

Peers

Ming Wei
Comparison fields: 5 of 89
  • Plant Science 108
  • Molecular Biology 103
  • Food Science 95
  • Biomaterials 66
  • Molecular Medicine 44
Replace Nawaf Alshammari with:
Nawaf Alshammari Saudi Arabia
Fulin Shi China
Chaofan Wang China
Jasvir Singh India
María-José Sáiz-Abajo Spain
Fatma Krichen Tunisia
Tamer M. El‐Messery Egypt
Ziyang Ye China
Mojdeh Safari Iran
Noureddine Halla Algeria
Nawaf Alshammari Saudi Arabia View profile →
Citations per field, relative to Ming Wei
Ming Wei · 1×
Citations per year, relative to Ming Wei
Ming Wei · 1×

Countries citing papers authored by Ming Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wei. A scholar is included among the top collaborators of Ming Wei 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 Wei. Ming Wei 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
# Work Indexed citations
1 0
2 3
3 0
4 0
5 2
6
Research On Fault Prediction Model Based On 5G Data Center
2
7 31
8 17
9 14
10 13
11 48
12 44
13 74
14 32
15
Photoinhibition and Recovery of Rice Leaf from Shadow to High Light
1
16
Optimization of extraction conditions of tea saponin and its antifungi effects
2
17
EFFECTS OF TILLERING POSITION AND TILLER NUMBER ON ECONOMIC YIELD OF PADDY RICE
0
18 8
19
Genetic structure of edge population in Przewalski^s rock partridge (Alectoris magna)
2
20
Effects of Environmental Factors on The Population Genetic Structure in Alectoris magna
5

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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