Ming Dai
Impact in
-
- Sustainable Industrial Ecology
- Strategy and Management top 10%
- Sustainable Supply Chain Management
Papers in
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- Advanced Chemical Sensor Technologies 3
- Oncology 9
- Cancer Treatment and Pharmacology 3
- Co-authors
- Satoshi Ohnishi (2 shared papers)Tsuyoshi Fujita (2 shared papers)Minoru Fujii (2 shared papers)Liang Dong (2 shared papers)Yong Geng (2 shared papers)Liqiang Guo (1 shared paper)Ming Zhu (1 shared paper)Yonglin Lu (1 shared paper)
- Journals
- IEEE Access (3 papers)Journal of Food Composition and Analysis (2 papers)Sensors (2 papers)Annals of Hematology (2 papers)AIP Advances (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Ming Dai
72 papers receiving 809 citations
Peers
Comparison fields: 5 of 139
- Industrial and Manufacturing Engineering 145
- Strategy and Management 119
- Media Technology 57
- Cancer Research 82
- Environmental Engineering 72
Countries citing papers authored by Ming Dai
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
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-authors
The 25 scholars most cited alongside Ming Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 109 | |
| 2 | 2013 | 91 | |
| 3 | 2017 | 87 | |
| 4 | 2012 | 62 | |
| 5 | 2023 | 37 | |
| 6 | 2016 | 30 | |
| 7 | 2013 | 29 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2015 | 18 | |
| 11 | 2018 | 18 | |
| 12 | 2022 | 16 | |
| 13 | 2004 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2000 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2006 | 11 | |
| 19 | 2003 | 11 | |
| 20 | 2013 | 11 |
About Ming Dai
Ming Dai is a scholar working on Biomedical Engineering, Oncology, Electrical and Electronic Engineering, Epidemiology and Molecular Biology, having authored 78 papers that have together received 826 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Traditional Chinese Medicine Studies (4 papers), Electrical and Bioimpedance Tomography (4 papers), Cancer Treatment and Pharmacology (3 papers), ECG Monitoring and Analysis (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Healthcare and Venom Research (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (145 citations), Strategy and Management (119 citations), Media Technology (57 citations), Cancer Research (82 citations) and Environmental Engineering (72 citations). Ming Dai has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Satoshi Ohnishi, Tsuyoshi Fujita, Minoru Fujii, Liang Dong, Yong Geng, Liqiang Guo, Ming Zhu, Yonglin Lu, Qinglan Li and Zhigang Wang. Their work appears in journals such as IEEE Access, Journal of Food Composition and Analysis, Sensors, Annals of Hematology and AIP Advances.
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.