Ming Dai
- Industrial and Manufacturing Engineering top 5%
- Molecular Biology
- Strategy and Management top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Liang DongMinoru FujiiYong GengSatoshi OhnishiTsuyoshi FujitaLiqiang GuoMing ZhuZhigang Wang
- Topics
- Traditional Chinese Medicine Studies (4 papers)Spectroscopy and Chemometric Analyses (4 papers)Electrical and Bioimpedance Tomography (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionScientific Reports
- 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
- Molecular Biology 132
- Strategy and Management 119
- Electrical and Electronic Engineering 88
- Biomedical Engineering 88
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-authorship network of co-authors of Ming Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Dai. A scholar is included among the top collaborators of Ming 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 Ming Dai. Ming Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | A new type of 8-channel data acquisition system based on FPGA | 1 |
| 14 | 6 | |
| 15 | Bronchiolitis obliterans organizing pneumonia presenting as hemoptysis in a patient of Hodgkin's lymphoma undergoing chemotherapy | 3 |
| 16 | 11 | |
| 17 | Unilateral Optic Nerve Leukemic Infiltration with Sudden Vision Loss Heralding a Systemic Relapse of Acute Lymphoblastic Leukemia | 4 |
| 18 | 11 | |
| 19 | Part calibration algorithm used for robotic off - line programming | 2 |
| 20 | 13 |
About Ming Dai
Ming Dai is a scholar working on Computational Mathematics, Complementary and alternative medicine and Industrial and Manufacturing Engineering, having authored 78 papers that have together received 826 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Electrical and Bioimpedance Tomography (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (145 citations), Strategy and Management (119 citations) and Media Technology (57 citations). Ming Dai has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Liang Dong, Minoru Fujii, Yong Geng, Satoshi Ohnishi, Tsuyoshi Fujita, Liqiang Guo, Ming Zhu, Zhigang Wang, Zeqing Song and Yonglin Lu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.
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.