Junliang Jin

1.4k total citations
56 papers, 1.1k citations indexed

About

Junliang Jin is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Junliang Jin has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Global and Planetary Change, 34 papers in Water Science and Technology and 18 papers in Atmospheric Science. Recurrent topics in Junliang Jin's work include Hydrology and Watershed Management Studies (29 papers), Climate variability and models (17 papers) and Flood Risk Assessment and Management (14 papers). Junliang Jin is often cited by papers focused on Hydrology and Watershed Management Studies (29 papers), Climate variability and models (17 papers) and Flood Risk Assessment and Management (14 papers). Junliang Jin collaborates with scholars based in China, Australia and United States. Junliang Jin's co-authors include Guoqing Wang, Jianyun Zhang, Zhenxin Bao, Yanli Liu, Cuishan Liu, Ruimin He, Xiaolin Yan, Guobin Fu, Aijing Zhang and Jiufu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Junliang Jin

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junliang Jin China 16 760 699 273 215 105 56 1.1k
Kang Liang China 19 689 0.9× 756 1.1× 215 0.8× 200 0.9× 73 0.7× 33 979
Bibi S. Naz United States 21 761 1.0× 715 1.0× 409 1.5× 282 1.3× 91 0.9× 37 1.2k
Pedro Luiz Borges Chaffe Brazil 16 633 0.8× 606 0.9× 154 0.6× 171 0.8× 160 1.5× 50 941
Manish Shrestha Nepal 13 573 0.8× 575 0.8× 160 0.6× 173 0.8× 69 0.7× 24 837
Songbing Zou China 20 465 0.6× 491 0.7× 276 1.0× 196 0.9× 151 1.4× 39 904
Victor Ntegeka Belgium 13 580 0.8× 785 1.1× 260 1.0× 182 0.8× 72 0.7× 23 953
Meibing Liu China 15 603 0.8× 753 1.1× 196 0.7× 118 0.5× 82 0.8× 34 975
Sidong Zeng China 16 527 0.7× 507 0.7× 151 0.6× 194 0.9× 97 0.9× 45 788
Sarah Praskievicz United States 13 475 0.6× 437 0.6× 197 0.7× 182 0.8× 113 1.1× 36 782
Stein Beldring Norway 19 659 0.9× 594 0.8× 409 1.5× 187 0.9× 87 0.8× 42 1.0k

Countries citing papers authored by Junliang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Junliang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junliang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Junliang Jin. A scholar is included among the top collaborators of Junliang Jin 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 Junliang Jin. Junliang Jin 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.
Jin, Junliang, Jianyun Zhang, Shanshui Yuan, et al.. (2025). Coupling coordination degree, interaction relationship and driving mechanism of water resources carrying capacity of Beijing-Tianjin-Hebei urban agglomeration in China. Journal of Cleaner Production. 504. 145433–145433. 6 indexed citations
2.
Yan, Wenming, Qi Li, Junliang Jin, et al.. (2025). Innovative MnLa-LDH and MnAl-LDH for synergistic multi-mechanism immobilization of internal phosphorus in sediments. Journal of environmental chemical engineering. 13(6). 119617–119617.
3.
Chen, Xiang, Qi Li, Junliang Jin, et al.. (2025). Behavior of iron and manganese in lanthanum-modified bentonite and calcium peroxide passivated sediments and the coupling effect on cobalt and tungsten. Journal of environmental chemical engineering. 13(5). 117684–117684.
4.
Huang, Shengzhi, Junliang Jin, Haiyun Shi, et al.. (2025). Intensifying propagation from El Niño to regional drought in China. Journal of Hydrology. 662. 133999–133999.
5.
6.
Yang, Xiaoqiang, Doerthe Tetzlaff, Junliang Jin, et al.. (2024). Linking terrestrial biogeochemical processes and water ages to catchment water quality: A new Damköhler analysis based on coupled modeling of isotope tracers and nitrate dynamics. Water Research. 262. 122118–122118. 4 indexed citations
7.
Zhang, Jianyun, Zhenxin Bao, Juraj Párajka, et al.. (2024). A novel error decomposition and fusion framework for daily precipitation estimation based on near-real-time satellite precipitation product and gauge observations. Journal of Hydrology. 640. 131715–131715. 6 indexed citations
8.
Jin, Junliang, Jianyun Zhang, Shanshui Yuan, et al.. (2024). Prediction of regional water resources carrying capacity based on stochastic simulation: A case study of Beijing-Tianjin-Hebei Urban Agglomeration. Journal of Hydrology Regional Studies. 56. 101976–101976. 6 indexed citations
9.
Liu, Yanli, Jianyun Zhang, Tiesheng Guan, et al.. (2023). Extreme Precipitation Events Variation and Projection in the Lancang-Mekong River Basin Based on CMIP6 Simulations. Atmosphere. 14(9). 1350–1350. 2 indexed citations
10.
Liu, Yanli, Jianyun Zhang, Hua Chen, et al.. (2023). Spatiotemporal Projections of Precipitation in the Lancang–Mekong River Basin Based on CMIP6 Models. Remote Sensing. 15(18). 4502–4502. 5 indexed citations
11.
12.
Zhang, Jianyun, et al.. (2021). Past variations and future projection of runoff in typical basins in 10 water zones, China. The Science of The Total Environment. 798. 149277–149277. 50 indexed citations
13.
Huang, Guohe, et al.. (2021). Projections of meteorological drought based on CMIP6 multi-model ensemble: A case study of Henan Province, China. Journal of Contaminant Hydrology. 243. 103887–103887. 13 indexed citations
14.
Zhang, Jianyun, Yan Wang, Haowen Liu, et al.. (2021). Evaluating the contribution of different environmental drivers to changes in evapotranspiration and soil moisture, a case study of the Wudaogou Experimental Station. Journal of Contaminant Hydrology. 243. 103912–103912. 15 indexed citations
15.
Wang, Guoqing, Jianyun Zhang, Zhenxin Bao, et al.. (2020). Quantifying attribution of runoff change for major rivers in China. 31(3). 313–323. 18 indexed citations
16.
17.
Zhang, Jianyun, Jiufu Liu, Junliang Jin, et al.. (2019). Evolution and Trend of Water Resources in Qinghai-Tibet Plateau. Bulletin of Chinese Academy of Sciences (Chinese Version). 34(11). 1264–1273. 27 indexed citations
18.
Jin, Junliang. (2013). A new perspective on water issues in North China. Advances in Water Science. 11 indexed citations
19.
Jin, Junliang, et al.. (2009). Estimating precipitation for poorly-gauged areas in western China.. IAHS-AISH publication. 238–244. 2 indexed citations
20.
Qi, Xiaoming, et al.. (2007). Hydrology similarity degree and its application. 38(3). 355–360.

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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