Ming Wei

727 citations
32 papers · 593 · 1 hit paper · h-index 11

Impact in

Papers in

Ming Wei

28 papers receiving 582 citations

Ming Wei's Hit Papers

Electrochemical non-enzymatic glucose sensors: recent progress and perspectives 2020 · 365 citations
3650+2+4Years since publication100200300

Peers

Ming Wei
Comparison fields: 5 of 65
  • Electrochemistry 192
  • Bioengineering 100
  • Polymers and Plastics 169
  • Electrical and Electronic Engineering 428
  • Materials Chemistry 143
Replace Mahmood Hassan Akhtar with:
Mahmood Hassan Akhtar China
Thenmozhi Rajarathinam South Korea
Nahid Rezvani Jalal Iran
Stephen A. Merchant United States
Kang Cui China
Bingkai Han China
Shaoying He China
Jiangli Zhai China
Fábio R. Caetano Brazil
Hassan Hamidi Iran
Ming Wei relative to Mahmood Hassan Akhtar China Mahmood Hassan Akhtar's profile →
Citations per field
00.5×1.5×
Mahmood Hassan Akhtar · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ming Wei, 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 Ming Wei Line = papers co-authored together Ming Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electrochemical non-enzymatic glucose sensors: recent progress and perspectives
Hit paper breakdown →
2020365
2 202043
3 202121
4 202220
5 202018
6 202116
7 201815
8 200114
9 202114
10 202412
11 202310
12 20229
13 20197
14 20187
15 20065
16 20154
17 20242
18 20231
19 20251
20 20201

About Ming Wei

Ming Wei is a scholar working on Organic Chemistry, Molecular Biology, Electrical and Electronic Engineering, Neurology and Electrochemistry, having authored 32 papers that have together received 593 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (9 papers), Advanced biosensing and bioanalysis techniques (5 papers), Synthesis and Biological Evaluation (5 papers), Electrochemical Analysis and Applications (5 papers), Conducting polymers and applications (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Antimicrobial agents and applications (3 papers). The work is most often cited by research in Electrochemistry (192 citations), Bioengineering (100 citations), Polymers and Plastics (169 citations), Electrical and Electronic Engineering (428 citations) and Materials Chemistry (143 citations). Ming Wei has collaborated with scholars based in China, Rwanda and Saudi Arabia. Frequent co-authors include Wenbo Lu, Xuping Sun, Yanxia Qiao, Haitao Zhao, Tingshuai Li, Jie Liang, Yonglan Luo, Xifeng Shi, Siyu Lu and Jianfeng Jia. Their work appears in journals such as Chinese Journal of Chemistry, World Neurosurgery, Chemical Communications, Expert Review of Neurotherapeutics and New 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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