Xiaolin Jia

1.1k total citations · 1 hit paper
13 papers, 944 citations indexed

About

Xiaolin Jia is a scholar working on Artificial Intelligence, Pollution and Environmental Engineering. According to data from OpenAlex, Xiaolin Jia has authored 13 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Pollution and 5 papers in Environmental Engineering. Recurrent topics in Xiaolin Jia's work include Heavy metals in environment (7 papers), Geochemistry and Geologic Mapping (7 papers) and Soil Geostatistics and Mapping (5 papers). Xiaolin Jia is often cited by papers focused on Heavy metals in environment (7 papers), Geochemistry and Geologic Mapping (7 papers) and Soil Geostatistics and Mapping (5 papers). Xiaolin Jia collaborates with scholars based in China, France and New Zealand. Xiaolin Jia's co-authors include Bifeng Hu, Zhou Shi, Lianqing Zhou, Dongyun Xu, Yan Li, Jie Hu, Fang Xia, Youwei Zhu, Tingting Fu and Songchao Chen and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Journal of Cleaner Production.

In The Last Decade

Xiaolin Jia

13 papers receiving 935 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessment of Heavy Metal Pollution and Health Risks in the Soil-Plant-Human System in the Yangtze River Delta, China

2017 365 citations Bifeng Hu, Xiaolin Jia et al. International Journal of Environmental Research and Public Health profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xiaolin Jia China	10	543	355	226	218	131	13	944
Zhiyi Fu China	10	633 1.2×	267 0.8×	244 1.1×	130 0.6×	120 0.9×	13	958
Mingkai Qu China	21	591 1.1×	419 1.2×	189 0.8×	384 1.8×	102 0.8×	49	1.2k
Huading Shi China	20	820 1.5×	360 1.0×	296 1.3×	162 0.7×	155 1.2×	76	1.4k
Zhouqiao Ren China	12	660 1.2×	377 1.1×	207 0.9×	136 0.6×	127 1.0×	27	974
Hasan Özcan Türkiye	17	582 1.1×	220 0.6×	150 0.7×	85 0.4×	133 1.0×	61	1.1k
Jiachun Shi China	15	611 1.1×	270 0.8×	201 0.9×	156 0.7×	99 0.8×	20	1.1k
Youwei Zhu China	11	549 1.0×	314 0.9×	169 0.7×	102 0.5×	115 0.9×	26	806
Qingye Hou China	20	835 1.5×	239 0.7×	387 1.7×	83 0.4×	125 1.0×	47	1.2k
Pengwei Qiao China	16	606 1.1×	274 0.8×	225 1.0×	178 0.8×	204 1.6×	31	982
Qilin Liao China	16	861 1.6×	469 1.3×	366 1.6×	262 1.2×	234 1.8×	23	1.5k

Countries citing papers authored by Xiaolin Jia

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolin Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Jia. A scholar is included among the top collaborators of Xiaolin Jia 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 Xiaolin Jia. Xiaolin Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Li, Hongyi, Bifeng Hu, Yin Zhou, et al.. (2024). Effects of straw return on soil carbon sequestration, soil nutrients and rice yield of in acidic farmland soil of Southern China. Environment Development and Sustainability. 27(12). 29775–29795. 5 indexed citations

Jia, Xiaolin, et al.. (2023). Development of Soil Fertility Index Using Machine Learning and Visible-Near-Infrared Spectroscopy. Land. 12(12). 2155–2155. 10 indexed citations

Jia, Xiaolin, et al.. (2023). Potential Risk Evaluation for Soil Environmental Quality Assessment in China Based on Spatial Multi-Criteria Decision-Making Theory. Eurasian Soil Science. 56(7). 984–993. 1 indexed citations

Jia, Xiaolin, et al.. (2023). Prediction of Soil Organic Carbon Contents in Tibet Using a Visible Near-Infrared Spectral Library. Eurasian Soil Science. 56(6). 727–737. 11 indexed citations

Jiang, Yefeng, Xueyao Chen, Xiaolin Jia, et al.. (2022). Preliminary risk assessment of regional industrial enterprise sites based on big data. The Science of The Total Environment. 838(Pt 4). 156609–156609. 11 indexed citations

Jia, Xiaolin, Tingting Fu, Bifeng Hu, et al.. (2020). Identification of the potential risk areas for soil heavy metal pollution based on the source-sink theory. Journal of Hazardous Materials. 393. 122424–122424. 199 indexed citations

Jiang, Yefeng, Songchao Chen, Bifeng Hu, et al.. (2020). A comprehensive framework for assessing the impact of potential agricultural pollution on grain security and human health in economically developed areas. Environmental Pollution. 263. 114653–114653. 39 indexed citations

Fu, Tingting, Ruiying Zhao, Bifeng Hu, et al.. (2020). Novel framework for modelling the cadmium balance and accumulation in farmland soil in Zhejiang Province, East China: Sensitivity analysis, parameter optimisation, and forecast for 2050. Journal of Cleaner Production. 279. 123674–123674. 29 indexed citations

Jia, Xiaolin, Bifeng Hu, B. P. Marchant, et al.. (2019). A methodological framework for identifying potential sources of soil heavy metal pollution based on machine learning: A case study in the Yangtze Delta, China. Environmental Pollution. 250. 601–609. 128 indexed citations

10.

Liu, Shangshi, Haihua Shen, Songchao Chen, et al.. (2019). Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment. Geoderma. 348. 37–44. 90 indexed citations

11.

Ma, Jinlong, Fei Li, Xiaolin Jia, & Jingdong Zhang. (2018). Pollution Assessment and Sources Identification of Heavy Metals in Surface Sediments from the Nantaizi Lake, Middle China. IOP Conference Series Earth and Environmental Science. 111. 12020–12020. 5 indexed citations

12.

Jia, Xiaolin, Songchao Chen, Yuanyuan Yang, et al.. (2017). Organic carbon prediction in soil cores using VNIR and MIR techniques in an alpine landscape. Scientific Reports. 7(1). 2144–2144. 51 indexed citations

13.

Hu, Bifeng, Xiaolin Jia, Jie Hu, et al.. (2017). Assessment of Heavy Metal Pollution and Health Risks in the Soil-Plant-Human System in the Yangtze River Delta, China. International Journal of Environmental Research and Public Health. 14(9). 1042–1042. 365 indexed citations breakdown →

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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