Kun Dai
Impact in
- Building and Construction top 1%
- Anaerobic Digestion and Biogas Production
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 10
- Advanced biosensing and bioanalysis techniques 4
-
- Anaerobic Digestion and Biogas Production 27
- Co-authors
- Fang Zhang (42 shared papers)Raymond Jianxiong Zeng (42 shared papers)Ding-Kang Qian (8 shared papers)Dawei Gao (5 shared papers)Mark C.M. van Loosdrecht (8 shared papers)Yun Chen (5 shared papers)Qun Gu (3 shared papers)Job Boekhoven (4 shared papers)
- Journals
- Bioresource Technology (9 papers)Applied Microbiology and Biotechnology (5 papers)Environmental Science & Technology (4 papers)Journal of Cleaner Production (4 papers)Water Research (3 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Kun Dai
60 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Building and Construction 504
- Pollution 223
- Environmental Engineering 251
- Biomaterials 206
- Biomedical Engineering 567
Countries citing papers authored by Kun Dai
This map shows the geographic impact of Kun 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 Kun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Dai more than expected).
Fields of papers citing papers by Kun Dai
This network shows the impact of papers produced by Kun 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 Kun Dai. The network helps show where Kun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 117 | |
| 2 | 2018 | 71 | |
| 3 | 2016 | 67 | |
| 4 | 2020 | 63 | |
| 5 | 2018 | 61 | |
| 6 | 2019 | 60 | |
| 7 | 2016 | 58 | |
| 8 | 2020 | 58 | |
| 9 | 2015 | 54 | |
| 10 | 2019 | 53 | |
| 11 | 2016 | 53 | |
| 12 | 2021 | 50 | |
| 13 | 2022 | 49 | |
| 14 | 2020 | 48 | |
| 15 | 2013 | 42 | |
| 16 | 2014 | 41 | |
| 17 | 2015 | 39 | |
| 18 | 2015 | 38 | |
| 19 | 2018 | 37 | |
| 20 | 2018 | 36 |
About Kun Dai
Kun Dai is a scholar working on Molecular Biology, Building and Construction, Biomedical Engineering, Pollution and Environmental Engineering, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Anaerobic Digestion and Biogas Production (27 papers), Biofuel production and bioconversion (20 papers), Microbial Fuel Cells and Bioremediation (11 papers), Wastewater Treatment and Nitrogen Removal (10 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Electrochemical sensors and biosensors (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Membrane Separation Technologies (4 papers). The work is most often cited by research in Building and Construction (504 citations), Pollution (223 citations), Environmental Engineering (251 citations), Biomaterials (206 citations) and Biomedical Engineering (567 citations). Kun Dai has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Fang Zhang, Raymond Jianxiong Zeng, Ding-Kang Qian, Dawei Gao, Mark C.M. van Loosdrecht, Yun Chen, Qun Gu, Job Boekhoven, Donald T. Haynie and Yan Zhang. Their work appears in journals such as Bioresource Technology, Applied Microbiology and Biotechnology, Environmental Science & Technology, Journal of Cleaner Production and Water Research.
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.