Xiaolin Yan

726 total citations
8 papers, 614 citations indexed

About

Xiaolin Yan is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Xiaolin Yan has authored 8 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 8 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Xiaolin Yan's work include Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (6 papers) and Hydrological Forecasting Using AI (3 papers). Xiaolin Yan is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (6 papers) and Hydrological Forecasting Using AI (3 papers). Xiaolin Yan collaborates with scholars based in China, Australia and Sweden. Xiaolin Yan's co-authors include Zhenxin Bao, Jianyun Zhang, Guoqing Wang, Ruimin He, Junliang Jin, Guobin Fu, Yanli Liu, Aijing Zhang, Cuishan Liu and Jiufu Liu and has published in prestigious journals such as Journal of Hydrology, Hydrological Processes and Quaternary International.

In The Last Decade

Xiaolin Yan

8 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Yan China 8 523 463 125 122 72 8 614
Hadush Meresa Ireland 14 456 0.9× 582 1.3× 146 1.2× 97 0.8× 47 0.7× 27 719
Tingting Ning China 14 550 1.1× 500 1.1× 205 1.6× 97 0.8× 89 1.2× 21 699
Fangfang Zhao Australia 11 514 1.0× 456 1.0× 166 1.3× 91 0.7× 103 1.4× 13 624
Binod Bhatta Thailand 7 441 0.8× 354 0.8× 124 1.0× 138 1.1× 55 0.8× 9 532
Adrián López-Ballesteros Spain 16 390 0.7× 306 0.7× 69 0.6× 155 1.3× 60 0.8× 24 508
Pankaj Dey India 8 380 0.7× 340 0.7× 72 0.6× 114 0.9× 65 0.9× 13 475
Kazuhiko Fukami Japan 13 406 0.8× 478 1.0× 159 1.3× 126 1.0× 36 0.5× 29 599
Lüliu Liu China 12 352 0.7× 361 0.8× 144 1.2× 91 0.7× 40 0.6× 21 543
Antônio Alves Meira Neto United States 12 297 0.6× 226 0.5× 75 0.6× 136 1.1× 53 0.7× 24 428
Sirak Tekleab Ethiopia 11 440 0.8× 417 0.9× 70 0.6× 174 1.4× 111 1.5× 31 606

Countries citing papers authored by Xiaolin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Yan

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

All Works

8 of 8 papers shown
1.
Bao, Zhenxin, Jianyun Zhang, Guoqing Wang, et al.. (2019). The impact of climate variability and land use/cover change on the water balance in the Middle Yellow River Basin, China. Journal of Hydrology. 577. 123942–123942. 108 indexed citations
2.
Bao, Zhenxin, Jianyun Zhang, Xiaolin Yan, et al.. (2019). Future streamflow assessment in the Haihe River basin located in northern China using a regionalized variable infiltration capacity model based on 18 CMIP5 GCMs. Journal of Water and Climate Change. 11(4). 1551–1569. 11 indexed citations
3.
Yan, Xiaolin, Zhenxin Bao, Jianyun Zhang, et al.. (2018). Quantifying contributions of climate change and local human activities to runoff decline in the upper reaches of the Luanhe River basin. Journal of Hydro-environment Research. 28. 67–74. 39 indexed citations
4.
Wang, Guoqing, Jianyun Zhang, Junliang Jin, et al.. (2015). Impacts of climate change on water resources in the Yellow River basin and identification of global adaptation strategies. Mitigation and Adaptation Strategies for Global Change. 22(1). 67–83. 43 indexed citations
5.
Bao, Zhenxin, Jianyun Zhang, Guoqing Wang, et al.. (2012). Attribution for decreasing streamflow of the Haihe River basin, northern China: Climate variability or human activities?. Journal of Hydrology. 460-461. 117–129. 267 indexed citations
6.
Bao, Zhenxin, Guobin Fu, Guoqing Wang, et al.. (2012). Hydrological projection for the Miyun Reservoir basin with the impact of climate change and human activity. Quaternary International. 282. 96–103. 26 indexed citations
7.
Bao, Zhenxin, Jianyun Zhang, Jiufu Liu, et al.. (2012). Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions. Journal of Hydrology. 466-467. 37–46. 74 indexed citations
8.
Bao, Zhenxin, Jianyun Zhang, Jiufu Liu, et al.. (2011). Sensitivity of hydrological variables to climate change in the Haihe River basin, China. Hydrological Processes. 26(15). 2294–2306. 46 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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