Jierui Dai
Impact in
- Pollution top 5%
- Heavy metals in environment
-
- Radioactivity and Radon Measurements
Papers in
- Pollution 10
- Heavy metals in environment 10
-
- Mercury impact and mitigation studies 3
- Heavy Metal Exposure and Toxicity 3
- Co-authors
- Yang Liu (2 shared papers)Zulu Zhang (3 shared papers)Jianshu Lv (2 shared papers)Bin Dai (1 shared paper)Liyuan Yang (3 shared papers)Mingyi Ren (2 shared papers)Xuemei Han (2 shared papers)Wei Zhang (1 shared paper)
In The Last Decade
Jierui Dai
15 papers receiving 412 citations
Peers
Comparison fields: 5 of 51
- Pollution 327
- Radiological and Ultrasound Technology 92
- Health, Toxicology and Mutagenesis 114
- Artificial Intelligence 194
- Geochemistry and Petrology 27
Countries citing papers authored by Jierui Dai
This map shows the geographic impact of Jierui 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 Jierui Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jierui Dai more than expected).
Fields of papers citing papers by Jierui Dai
This network shows the impact of papers produced by Jierui 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 Jierui Dai. The network helps show where Jierui Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jierui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2014 | 148 | |
| 3 | 2019 | 26 | |
| 4 | 2017 | 23 | |
| 5 | 2023 | 12 | |
| 6 | 2017 | 11 | |
| 7 | 2025 | 6 | |
| 8 | 2023 | 3 | |
| 9 | Soil carbon density and distribution and influencing factors in Shandong Province. | 2015 | 3 |
| 10 | [Residues and Spatial Distribution Characteristics of Organochlorine Pesticides DDTs in Soil of Linyi City, Shandong Province]. | 2015 | 2 |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | Environmental Assessment of Heavy Metals in Surface Soil of Tea Plantations in Rizhao City | 2011 | 1 |
| 14 | Origin of heavy metal anomalies in soils along the Shandong reach of the lower Yellow River, China | 2008 | 1 |
| 15 | 2023 | 1 |
About Jierui Dai
Jierui Dai is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Artificial Intelligence, Ecology and Management, Monitoring, Policy and Law, having authored 15 papers that have together received 415 indexed citations. Recurring topics across this work include Heavy metals in environment (10 papers), Geochemistry and Geologic Mapping (5 papers), Mercury impact and mitigation studies (3 papers), Environmental and Social Impact Assessments (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Environmental Quality and Pollution (3 papers), Forest, Soil, and Plant Ecology in China (1 paper) and Soil Carbon and Nitrogen Dynamics (1 paper). The work is most often cited by research in Pollution (327 citations), Radiological and Ultrasound Technology (92 citations), Health, Toxicology and Mutagenesis (114 citations), Artificial Intelligence (194 citations) and Geochemistry and Petrology (27 citations). Jierui Dai has collaborated with scholars based in China and Canada. Frequent co-authors include Yang Liu, Zulu Zhang, Jianshu Lv, Bin Dai, Liyuan Yang, Mingyi Ren, Xuemei Han, Wei Zhang, Wei Zhang and Liyuan Yang. Their work appears in journals such as Journal of Soils and Sediments, Environmental Geochemistry and Health, Environmental Monitoring and Assessment, Journal of Hazardous Materials and Environmental Science and Pollution 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.