Yuntao Dai
- Catalysis top 0.1%
- Filtration and Separation top 0.05%
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Food Science top 1%
- Co-authors
- Robert VerpoorteYoung Hae ChoiGeert‐Jan WitkampJaap van SpronsenFrank HollmannIsabel W. C. E. ArendsMarianne C. VerberneE Rozema
- Topics
- Traditional Chinese Medicine Analysis (14 papers)Metaheuristic Optimization Algorithms Research (12 papers)Natural product bioactivities and synthesis (9 papers)
- Partner nations
- ChinaNetherlandsJapan
In The Last Decade
Yuntao Dai
68 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Catalysis 4.0k
- Filtration and Separation 1.5k
- Molecular Biology 1.1k
- Biomedical Engineering 980
- Food Science 883
Countries citing papers authored by Yuntao Dai
This map shows the geographic impact of Yuntao 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 Yuntao Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuntao Dai more than expected).
Fields of papers citing papers by Yuntao Dai
This network shows the impact of papers produced by Yuntao 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 Yuntao Dai. The network helps show where Yuntao Dai may publish in the future.
Co-authorship network of co-authors of Yuntao Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Yuntao Dai. A scholar is included among the top collaborators of Yuntao 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 Yuntao Dai. Yuntao 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 | 3 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 41 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 49 | |
| 8 | 27 | |
| 9 | 2 | |
| 10 | 32 | |
| 11 | 131 | |
| 12 | 333 | |
| 13 | 13 | |
| 14 | Natural deep eutectic solvents as new potential media for green technologybreakdown → | 2072 |
| 15 | Are Natural Deep Eutectic Solvents the Missing Link in Understanding Cellular Metabolism and Physiology?breakdown → | 1027 |
| 16 | Parameter identification of ship longitudinal motions using continuous ant colony algorithm with period searching | 2 |
| 17 | Parameter identification of ship vertical motions using improved particle swarm optimization | 7 |
| 18 | 11 | |
| 19 | Path Planning of Underwater Vehicle in 3D Space Based on Ant Colony Algorithm | 19 |
| 20 | Multi-ant Colony Virtual Parallel Optimization Algorithm | 1 |
About Yuntao Dai
Yuntao Dai is a scholar working on Complementary and alternative medicine, Pharmacology and Catalysis, having authored 74 papers that have together received 7.3k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (14 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Natural product bioactivities and synthesis (9 papers). The work is most often cited by research in Filtration and Separation (1.5k citations), Catalysis (4.0k citations) and Electrochemistry (636 citations). Yuntao Dai has collaborated with scholars based in China, Netherlands and Japan. Frequent co-authors include Robert Verpoorte, Young Hae Choi, Geert‐Jan Witkamp, Jaap van Spronsen, Frank Hollmann, Isabel W. C. E. Arends, Marianne C. Verberne, E Rozema, Erica G. Wilson and Henni Vanda. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical 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.