Qingxia Lin

559 total citations
16 papers, 411 citations indexed

About

Qingxia Lin is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Qingxia Lin has authored 16 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Water Science and Technology and 4 papers in Atmospheric Science. Recurrent topics in Qingxia Lin's work include Hydrology and Watershed Management Studies (11 papers), Hydrology and Drought Analysis (10 papers) and Climate variability and models (10 papers). Qingxia Lin is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Hydrology and Drought Analysis (10 papers) and Climate variability and models (10 papers). Qingxia Lin collaborates with scholars based in China, United States and United Arab Emirates. Qingxia Lin's co-authors include Zhiyong Wu, Guihua Lu, Hai He, Huating Xu, Yun Mao, Vijay P. Singh, Seyed Hamidreza Sadeghi, Yuliang Zhang, Jiali Guo and Peng Tao and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Agricultural and Forest Meteorology.

In The Last Decade

Qingxia Lin

15 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qingxia Lin China	11	349	197	97	64	42	16	411
Jiao Lu China	11	292 0.8×	138 0.7×	82 0.8×	47 0.7×	43 1.0×	22	347
Huating Xu China	7	279 0.8×	118 0.6×	78 0.8×	46 0.7×	49 1.2×	10	332
David Lun Austria	8	379 1.1×	268 1.4×	85 0.9×	51 0.8×	18 0.4×	12	455
Daehyok Shin Australia	7	215 0.6×	155 0.8×	50 0.5×	52 0.8×	40 1.0×	10	260
Erik Tijdeman Germany	10	515 1.5×	351 1.8×	63 0.6×	54 0.8×	43 1.0×	16	572
M. B. Masud Canada	12	249 0.7×	174 0.9×	75 0.8×	54 0.8×	79 1.9×	19	364
Mesgana Seyoum Gizaw Canada	8	243 0.7×	150 0.8×	101 1.0×	71 1.1×	42 1.0×	9	342
Shijie Li China	10	285 0.8×	150 0.8×	91 0.9×	50 0.8×	19 0.5×	17	347
Hossein Ahani Iran	10	346 1.0×	132 0.7×	83 0.9×	84 1.3×	60 1.4×	15	428
Hisaya Sawano Japan	9	229 0.7×	150 0.8×	64 0.7×	44 0.7×	17 0.4×	20	288

Countries citing papers authored by Qingxia Lin

Since Specialization

Citations

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

Fields of papers citing papers by Qingxia Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingxia Lin

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

All Works

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16 of 16 papers shown

Zhang, Te, et al.. (2025). Spatiotemporal response of agricultural drought to meteorological drought in the upper Hanjiang River Basin from three-dimensional perspective. Agricultural and Forest Meteorology. 368. 110531–110531. 1 indexed citations

Lin, Qingxia, Zhiyong Wu, Yuliang Zhang, et al.. (2024). Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China. Agricultural Water Management. 307. 109265–109265.

Tao, Peng, Tianyi Fan, Vijay P. Singh, et al.. (2024). Modified drought propagation under a changing environment: A case study in the Dongting Lake basin, China. Journal of Hydrology Regional Studies. 56. 101986–101986. 2 indexed citations

Wang, Youxin, Tao Peng, Yanhu He, et al.. (2023). Attribution analysis of non-stationary hydrological drought using the GAMLSS framework and an improved SWAT model. Journal of Hydrology. 627. 130420–130420. 15 indexed citations

Lin, Qingxia, et al.. (2023). Export duration and firm markups: evidence from China. Humanities and Social Sciences Communications. 10(1). 1 indexed citations

Lin, Qingxia, et al.. (2022). Hydrological drought dynamics and its teleconnections with large-scale climate indices in the Xijiang River basin, South China. Theoretical and Applied Climatology. 150(1-2). 229–249. 7 indexed citations

Wang, Youxin, Qingxia Lin, Vijay P. Singh, et al.. (2022). A New Non-stationary Hydrological Drought Index Encompassing Climate Indices and Modified Reservoir Index as Covariates. Water Resources Management. 36(7). 2433–2454. 19 indexed citations

Lin, Qingxia, Zhiyong Wu, Yuliang Zhang, et al.. (2022). Propagation from meteorological to hydrological drought and its application to drought prediction in the Xijiang River basin, South China. Journal of Hydrology. 617. 128889–128889. 50 indexed citations

Lin, Qingxia, Tao Peng, Zhiyong Wu, et al.. (2021). Performance evaluation, error decomposition and Tree-based Machine Learning error correction of GPM IMERG and TRMM 3B42 products in the Three Gorges Reservoir Area. Atmospheric Research. 268. 105988–105988. 19 indexed citations

10.

Wu, Zhiyong, Yuliang Zhang, Zhenli Sun, Qingxia Lin, & Hai He. (2018). Improvement of a combination of TMPA (or IMERG) and ground-based precipitation and application to a typical region of the East China Plain. The Science of The Total Environment. 640-641. 1165–1175. 29 indexed citations

11.

Wu, Zhiyong, Jianhong Zhou, Hai He, et al.. (2018). An advanced error correction methodology for merging in-situ observed and model-based soil moisture. Journal of Hydrology. 566. 150–163. 12 indexed citations

12.

Lin, Qingxia, Zhiyong Wu, Vijay P. Singh, et al.. (2017). Correlation between hydrological drought, climatic factors, reservoir operation, and vegetation cover in the Xijiang Basin, South China. Journal of Hydrology. 549. 512–524. 86 indexed citations

13.

Mao, Yun, Zhiyong Wu, Hai He, et al.. (2016). Spatio-temporal analysis of drought in a typical plain region based on the soil moisture anomaly percentage index. The Science of The Total Environment. 576. 752–765. 76 indexed citations

14.

Wu, Zhiyong, Qingxia Lin, Guihua Lu, Hai He, & John J. Qu. (2015). Analysis of hydrological drought frequency for the Xijiang River Basin in South China using observed streamflow data. Natural Hazards. 77(3). 1655–1677. 28 indexed citations

15.

Lu, Guihua, Jingjing Liu, Zhiyong Wu, et al.. (2015). Development of a Large-Scale Routing Model with Scale Independent by Considering the Damping Effect of Sub-Basins. Water Resources Management. 29(14). 5237–5253. 12 indexed citations

16.

Wu, Zhiyong, Yun Mao, Xiaoyan Li, et al.. (2015). Exploring spatiotemporal relationships among meteorological, agricultural, and hydrological droughts in Southwest China. Stochastic Environmental Research and Risk Assessment. 30(3). 1033–1044. 54 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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