Shaofeng Jia

4.3k total citations · 1 hit paper
127 papers, 3.3k citations indexed

About

Shaofeng Jia is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Shaofeng Jia has authored 127 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Global and Planetary Change, 54 papers in Water Science and Technology and 24 papers in Ocean Engineering. Recurrent topics in Shaofeng Jia's work include Hydrology and Watershed Management Studies (34 papers), Climate variability and models (28 papers) and Water resources management and optimization (24 papers). Shaofeng Jia is often cited by papers focused on Hydrology and Watershed Management Studies (34 papers), Climate variability and models (28 papers) and Water resources management and optimization (24 papers). Shaofeng Jia collaborates with scholars based in China, United States and Pakistan. Shaofeng Jia's co-authors include Wenbin Zhu, Rashid Mahmood, Aifeng Lü, Aifeng Lv, Tingting Yan, Hong Yang, Mukand S. Babel, Shiying Tian, Junguo Liu and Бо Лю and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Shaofeng Jia

123 papers receiving 3.2k citations

Hit Papers

Water conservancy projects in China: Achievements, challe... 2013 2026 2017 2021 2013 100 200 300
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.

  1. Water conservancy projects in China: Achievements, challenges and way forward
    2013 329 citations Shaofeng Jia et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaofeng Jia China 28 1.6k 1.3k 981 846 451 127 3.3k
Weili Duan China 34 1.9k 1.2× 1.7k 1.4× 768 0.8× 832 1.0× 264 0.6× 142 3.7k
Denghua Yan China 37 2.7k 1.7× 1.8k 1.5× 1.2k 1.2× 1.2k 1.4× 385 0.9× 263 5.3k
Lars Ribbe Germany 30 1.4k 0.9× 1.1k 0.9× 476 0.5× 595 0.7× 432 1.0× 77 2.5k
Aristeidis Koutroulis Greece 30 1.9k 1.2× 1.2k 1.0× 597 0.6× 836 1.0× 239 0.5× 73 3.5k
Yong Zhao China 37 2.0k 1.2× 2.0k 1.6× 965 1.0× 437 0.5× 688 1.5× 260 4.6k
Peter Greve Austria 25 2.1k 1.3× 1.5k 1.2× 438 0.4× 735 0.9× 387 0.9× 45 3.4k
Chengguang Lai China 33 3.1k 1.9× 1.5k 1.2× 958 1.0× 1.3k 1.6× 205 0.5× 89 4.1k
C. Adam Schlosser United States 32 2.8k 1.7× 1.0k 0.8× 1.3k 1.3× 2.0k 2.4× 215 0.5× 85 5.0k
Manolis Grillakis Greece 29 1.6k 1.0× 993 0.8× 452 0.5× 643 0.8× 162 0.4× 70 2.5k
Deepak Khare India 35 2.5k 1.5× 1.5k 1.2× 1.1k 1.1× 760 0.9× 333 0.7× 118 3.9k

Countries citing papers authored by Shaofeng Jia

Since Specialization
Citations

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

Fields of papers citing papers by Shaofeng Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaofeng Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Shaofeng Jia. A scholar is included among the top collaborators of Shaofeng 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 Shaofeng Jia. Shaofeng Jia 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
1.
2.
Jia, Shaofeng, et al.. (2025). Enhancing Soil Moisture Prediction in Drought-Prone Agricultural Regions Using Remote Sensing and Machine Learning Approaches. Remote Sensing. 17(2). 181–181. 3 indexed citations
3.
Zhang, Dong, Xiaoben Liu, Shen Liu, et al.. (2024). A novel local deformation pipe section identification method via IMU detection data and hybrid deep learning model. Mechanical Systems and Signal Processing. 224. 112091–112091. 2 indexed citations
4.
Jia, Shaofeng, et al.. (2023). Does financial inclusion improve household drinking water source? An application to the case of Togo. Water International. 48(5). 648–663. 2 indexed citations
5.
Jia, Shaofeng, et al.. (2023). Classification and applicable conditions of water rights systems. Water Resources Management. 37(10). 4059–4073. 2 indexed citations
6.
Jia, Shaofeng, et al.. (2021). Detection of Spatial Shift in Flood Regime of the Kabul River Basin in Pakistan, Causes, Challenges, and Opportunities. Water. 13(9). 1276–1276. 16 indexed citations
7.
Xia, Jun, Michael E. Campana, Shaofeng Jia, & Zhuping Sheng. (2021). Introduction to the Featured Collection: Water Security — New Technologies, Strategies, Policies, and Institutions. JAWRA Journal of the American Water Resources Association. 57(4). 527–529. 1 indexed citations
8.
Li, Dalong, Haiyan Chen, Shaofeng Jia, & Aifeng Lv. (2020). Possible Hydrochemical Processes Influencing Dissolved Solids in Surface Water and Groundwater of the Kaidu River Basin, Northwest China. Water. 12(2). 467–467. 8 indexed citations
9.
Jia, Shaofeng & Yuan Liang. (2020). Suggestions for strategic allocation of the Yellow River water resources under the new situation. 资源科学. 42(1). 29–36. 18 indexed citations
10.
11.
Xie, Lei & Shaofeng Jia. (2017). China's International Transboundary Rivers. 6 indexed citations
12.
Qu, Bo, Aifeng Lv, Shaofeng Jia, & Wenbin Zhu. (2016). Daily Precipitation Changes over Large River Basins in China, 1960–2013. Water. 8(5). 185–185. 18 indexed citations
13.
Wang, Zheng, Gang Zeng, Shenghe Liu, et al.. (2016). Academic debates on Hu Huanyong population line. 35(5). 805–824. 25 indexed citations
14.
Qu, Bo, Wenbin Zhu, Shaofeng Jia, & Aifeng Lv. (2015). Spatio-Temporal Changes in Vegetation Activity and Its Driving Factors during the Growing Season in China from 1982 to 2011. Remote Sensing. 7(10). 13729–13752. 51 indexed citations
15.
Jia, Shaofeng. (2013). Study on difference of blue-green water in Huangshui basin and green water under different types of land use based on SWAT model. Journal of Water Resources and Water Engineering. 2 indexed citations
16.
Jia, Shaofeng. (2010). Study on Spatial Distribution of Vegetation Coverage and Its Affecting Factors in the Qaidam Basin Based on NDVI. Arid Zone Research. 6 indexed citations
17.
Drake, Sam, et al.. (2005). The study of eco-environmental carrying capacity related to water: Haihe River basins example. IAHS-AISH publication. 118–124. 2 indexed citations
18.
Xia, Jun, Mengyu Liu, & Shaofeng Jia. (2005). Water security problem in North China: Research and perspective. Pedosphere. 15(5). 563–575. 34 indexed citations
19.
Jia, Shaofeng. (2004). Effect of economic structure adjustment on water saving. 9 indexed citations
20.
Jia, Shaofeng. (2003). Response of industrial water use to water price rising in Beijing. 8 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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