Xianjun Xie

6.8k total citations · 1 hit paper
192 papers, 5.5k citations indexed

About

Xianjun Xie is a scholar working on Environmental Chemistry, Geochemistry and Petrology and Pollution. According to data from OpenAlex, Xianjun Xie has authored 192 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Environmental Chemistry, 74 papers in Geochemistry and Petrology and 49 papers in Pollution. Recurrent topics in Xianjun Xie's work include Arsenic contamination and mitigation (107 papers), Groundwater and Isotope Geochemistry (66 papers) and Heavy metals in environment (45 papers). Xianjun Xie is often cited by papers focused on Arsenic contamination and mitigation (107 papers), Groundwater and Isotope Geochemistry (66 papers) and Heavy metals in environment (45 papers). Xianjun Xie collaborates with scholars based in China, United States and Canada. Xianjun Xie's co-authors include Yanxin Wang, Junxia Li, Chunli Su, Yanxin Wang, Mengyu Duan, Kunfu Pi, Yamin Deng, Kun Qian, Teng Ma and Yujun Liang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Xianjun Xie

188 papers receiving 5.4k citations

Hit Papers

Prediction of nitrate concentration and the impact of lan... 2025 2026 2025 5 10 15 20

Peers

Xianjun Xie
Evert J. Elzinga United States
Daniel E. Giammar United States
Sabine Goldberg United States
Andrew L. Rose Australia
Kitae Baek South Korea
Xianjun Xie
Citations per year, relative to Xianjun Xie Xianjun Xie (= 1×) peers Jon Petter Gustafsson

Countries citing papers authored by Xianjun Xie

Since Specialization
Citations

This map shows the geographic impact of Xianjun Xie'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 Xianjun Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianjun Xie more than expected).

Fields of papers citing papers by Xianjun Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xianjun Xie. 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 Xianjun Xie. The network helps show where Xianjun Xie may publish in the future.

Co-authorship network of co-authors of Xianjun Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Xianjun Xie. A scholar is included among the top collaborators of Xianjun Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xianjun Xie. Xianjun Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Yang, Yi, et al.. (2025). Battery pack capacity prediction using deep learning and data compression technique: A method for real-world vehicles. Journal of Energy Chemistry. 106. 553–564. 7 indexed citations
5.
Lu, Yanhui, Xianjun Xie, Kang-Lin Peng, et al.. (2024). Insights into nitrogen biogeochemical cycling in mangrove wetland from Genome-Resolved metagenomic sequencing. Journal of Hydrology. 640. 131741–131741. 13 indexed citations
6.
Pi, Kunfu, et al.. (2024). Impact of long-term irrigation practices on distribution and speciation of arsenic in agricultural soil. Ecotoxicology and Environmental Safety. 283. 116825–116825. 3 indexed citations
7.
Jiang, Honglin, et al.. (2024). Metagenomic and FT-ICR MS insights into the mechanism for the arsenic biogeochemical cycling in groundwater. Journal of Hazardous Materials. 476. 135047–135047. 4 indexed citations
10.
Xia, Peng, Xianjun Xie, Junxia Li, et al.. (2024). Machine learning prediction of health risk and spatial dependence of geogenic contaminated groundwater from the Hetao Basin, China. Journal of Geochemical Exploration. 262. 107497–107497. 5 indexed citations
11.
Xie, Xianjun, et al.. (2024). Arsenic biogeochemical cycling association with basin-scale dynamics of microbial functionality and organic matter molecular composition. Water Research. 251. 121117–121117. 17 indexed citations
14.
Gan, Yiqun, et al.. (2024). Evolution of the Mangrove Wetland since the Holocene: Current Progress and Future Perspectives. Journal of Earth Science. 35(5). 1669–1678. 1 indexed citations
15.
Deng, Yali, Yao Du, Kunfu Pi, et al.. (2024). Processing pathways of organic matter under methanogenic conditions and its influence on arsenic mobilization in aquifers. Journal of Hydrology. 647. 132367–132367. 1 indexed citations
16.
Liu, Mei, Huan Huan, Haixiang Li, et al.. (2024). Quantitative Assessment and Validation of Groundwater Pollution Risk in Southwest Karst Area. Exposure and Health. 17(1). 81–96. 3 indexed citations
18.
Su, Chunli, et al.. (2023). Sources and cycling processes of nitrogen revealed by stable isotopes and hydrochemistry in a typical agricultural lake basin. Applied Geochemistry. 156. 105662–105662. 21 indexed citations
19.
Yang, Yijun, Yamin Deng, Yu Xu, et al.. (2023). Manganese mobilization from sediment to groundwater in alluvial-lacustrine aquifer system along the lower reaches of Han River. Journal of Hydrology. 627. 130400–130400. 12 indexed citations
20.
Xie, Xianjun. (2014). Improving Denitrification Efficiency of Wastewater Land Treatment System with Solid Sustained-release Carbon Source. China Water & Wastewater. 1 indexed citations

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.

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