Xiaoliang Ji
- Pollution top 1%
- Microplastics and Plastic Pollution 7
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- Recycling and Waste Management Techniques 7
- Geochemistry and Petrology top 2%
- Groundwater and Isotope Geochemistry 8
- Water Science and Technology top 2%
- Water Quality and Pollution Assessment 7
- Hydrology and Watershed Management Studies 5
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI 4
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- Soil and Water Nutrient Dynamics 9
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- Spectroscopy and Chemometric Analyses 5
- Co-authors
- Randy A. DahlgrenMinghua ZhangXu ShangZheng ChenJun LüZhonglu LiaoYue YangXuan Zhu
- Journals
- Renewable and Sustainable Energy Reviews (1 paper)The Science of The Total Environment (6 papers)Water Research (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Xiaoliang Ji
36 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Pollution 790
- Industrial and Manufacturing Engineering 564
- Geochemistry and Petrology 359
- Water Science and Technology 407
- Environmental Engineering 300
Countries citing papers authored by Xiaoliang Ji
This map shows the geographic impact of Xiaoliang Ji'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 Xiaoliang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoliang Ji more than expected).
Fields of papers citing papers by Xiaoliang Ji
This network shows the impact of papers produced by Xiaoliang Ji. 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 Xiaoliang Ji. The network helps show where Xiaoliang Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoliang Ji, 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 | 2025 | 2 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 74 | |
| 6 | 2023 | 43 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 62 | |
| 10 | 2022 | 74 | |
| 11 | 2022 | 32 | |
| 12 | 2020 | 68 | |
| 13 | 2020 | 52 | |
| 14 | 2020 | 33 | |
| 15 | 2020 | 57 | |
| 16 | 2020 | 44 | |
| 17 | 2019 | 5 | |
| 18 | 2017 | 103 | |
| 19 | 2015 | 77 | |
| 20 | Spatiotemporal Variation and Assessment of Water Quality in Wenruitang River Network Areas | 2013 | 2 |
About Xiaoliang Ji
Xiaoliang Ji is a scholar working on Geochemistry and Petrology, Industrial and Manufacturing Engineering and Environmental Chemistry, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Soil and Water Nutrient Dynamics (9 papers), Groundwater and Isotope Geochemistry (8 papers), Recycling and Waste Management Techniques (7 papers), Water Quality and Pollution Assessment (7 papers), Microplastics and Plastic Pollution (7 papers), Hydrology and Watershed Management Studies (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Hydrological Forecasting Using AI (4 papers). The work is most often cited by research in Pollution (790 citations), Industrial and Manufacturing Engineering (564 citations) and Geochemistry and Petrology (359 citations). Xiaoliang Ji has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Randy A. Dahlgren, Minghua Zhang, Xu Shang, Zheng Chen, Jun Lü, Zhonglu Liao, Yue Yang, Xuan Zhu, Yuan Ma and Zhenfeng Wang. Their work appears in journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment 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.