Dan Jiang
Impact in
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- Phosphorus and nutrient management
- Constructed Wetlands for Wastewater Treatment
- Water Science and Technology top 5%
- Adsorption and biosorption for pollutant removal
Papers in
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- Phosphorus and nutrient management 4
- Industrial Vision Systems and Defect Detection 2
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- Adsorption and biosorption for pollutant removal 3
- Co-authors
- Motoi Machida (4 shared papers)Yoshimasa Amano (4 shared papers)Feng‐Shou Xiao (1 shared paper)Bo Sun (1 shared paper)Zhenhua Sun (1 shared paper)Xinwen Peng (1 shared paper)Linxin Zhong (1 shared paper)Xuefei Cao (1 shared paper)
In The Last Decade
Dan Jiang
9 papers receiving 457 citations
Peers
Comparison fields: 5 of 58
- Industrial and Manufacturing Engineering 186
- Water Science and Technology 199
- Biomaterials 60
- Surfaces, Coatings and Films 29
- Materials Chemistry 173
Countries citing papers authored by Dan Jiang
This map shows the geographic impact of Dan Jiang'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 Dan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Jiang more than expected).
Fields of papers citing papers by Dan Jiang
This network shows the impact of papers produced by Dan Jiang. 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 Dan Jiang. The network helps show where Dan Jiang may publish in the future.
Co-authors
The 24 scholars most cited alongside Dan Jiang, 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 | 2006 | 147 | |
| 2 | 2018 | 145 | |
| 3 | 2013 | 48 | |
| 4 | 2017 | 38 | |
| 5 | 2018 | 33 | |
| 6 | 2017 | 33 | |
| 7 | 2015 | 14 | |
| 8 | 2019 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2024 | 0 |
About Dan Jiang
Dan Jiang is a scholar working on Industrial and Manufacturing Engineering, Water Science and Technology, Electrical and Electronic Engineering, Materials Chemistry and Nephrology, having authored 11 papers that have together received 461 indexed citations. Recurring topics across this work include Phosphorus and nutrient management (4 papers), Adsorption and biosorption for pollutant removal (3 papers), Industrial Vision Systems and Defect Detection (2 papers), Parathyroid Disorders and Treatments (2 papers), Layered Double Hydroxides Synthesis and Applications (2 papers), Advanced Neural Network Applications (2 papers), biodegradable polymer synthesis and properties (1 paper) and Magneto-Optical Properties and Applications (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (186 citations), Water Science and Technology (199 citations), Biomaterials (60 citations), Surfaces, Coatings and Films (29 citations) and Materials Chemistry (173 citations). Dan Jiang has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Motoi Machida, Yoshimasa Amano, Feng‐Shou Xiao, Bo Sun, Zhenhua Sun, Xinwen Peng, Linxin Zhong, Xuefei Cao, Shaolong Sun and Run‐Cang Sun. Their work appears in journals such as Environmental Science and Pollution Research, Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of environmental chemical engineering, Mathematical Biosciences & Engineering and Advanced Materials.
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.