Daizheng Huang
- Geochemistry and Petrology top 5%
- Water Science and Technology top 10%
- Periodontics top 10%
-
- Air Quality and Health Impacts 2
-
- Power Systems and Renewable Energy 2
-
- Radiomics and Machine Learning in Medical Imaging 3
-
- Energy Load and Power Forecasting 3
- Smart Grid Energy Management 2
-
- Artificial Intelligence in Healthcare 3
-
- Grey System Theory Applications 3
-
- Healthcare Policy and Management 2
- Co-authors
- Yunfeng ZouZhiyong ZhangJie YangLie ZhangJian QinXiao WeiZhihui WuChao Huang
- Journals
- PLoS ONE (1 paper)The Science of The Total Environment (1 paper)Environmental Pollution (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Daizheng Huang
20 papers receiving 394 citations
Peers
Comparison fields: 5 of 102
- Geochemistry and Petrology 110
- Water Science and Technology 148
- Periodontics 22
- Health, Toxicology and Mutagenesis 57
- Energy Engineering and Power Technology 12
Countries citing papers authored by Daizheng Huang
This map shows the geographic impact of Daizheng Huang'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 Daizheng Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daizheng Huang more than expected).
Fields of papers citing papers by Daizheng Huang
This network shows the impact of papers produced by Daizheng Huang. 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 Daizheng Huang. The network helps show where Daizheng Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daizheng Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 18 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 13 | |
| 14 | 2018 | 26 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 180 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 7 | |
| 19 | 2015 | 49 | |
| 20 | 2015 | 17 |
About Daizheng Huang
Daizheng Huang is a scholar working on Health Information Management, Energy Engineering and Power Technology and Otorhinolaryngology, having authored 22 papers that have together received 406 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Energy Load and Power Forecasting (3 papers), Artificial Intelligence in Healthcare (3 papers), Grey System Theory Applications (3 papers), Air Quality and Health Impacts (2 papers), Smart Grid Energy Management (2 papers), Power Systems and Renewable Energy (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Geochemistry and Petrology (110 citations), Water Science and Technology (148 citations) and Periodontics (22 citations). Daizheng Huang has collaborated with scholars based in China and United States. Frequent co-authors include Yunfeng Zou, Zhiyong Zhang, Jie Yang, Lie Zhang, Jian Qin, Xiao Wei, Zhihui Wu, Chao Huang, Jianhui Yuan and Xiaojun Chen. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Environmental Pollution.
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.