Xingjun Hong

818 total citations
19 papers, 640 citations indexed

About

Xingjun Hong is a scholar working on Water Science and Technology, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Xingjun Hong has authored 19 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Water Science and Technology, 13 papers in Global and Planetary Change and 8 papers in Ocean Engineering. Recurrent topics in Xingjun Hong's work include Hydrology and Watershed Management Studies (12 papers), Climate variability and models (8 papers) and Water resources management and optimization (8 papers). Xingjun Hong is often cited by papers focused on Hydrology and Watershed Management Studies (12 papers), Climate variability and models (8 papers) and Water resources management and optimization (8 papers). Xingjun Hong collaborates with scholars based in China, Australia and Taiwan. Xingjun Hong's co-authors include Shenglian Guo, Yanlai Zhou, Lihua Xiong, Dedi Liu, Zhangjun Liu, Fi‐John Chang, Guang Yang, Jiabo Yin, Shaokun He and Jiali Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Sustainability.

In The Last Decade

Xingjun Hong

19 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingjun Hong China 13 459 366 264 101 85 19 640
Austin Polebitski United States 9 355 0.8× 242 0.7× 308 1.2× 74 0.7× 80 0.9× 22 507
Alison Adams United States 11 225 0.5× 185 0.5× 165 0.6× 77 0.8× 98 1.2× 18 383
Francisco Martín‐Carrasco Spain 12 322 0.7× 263 0.7× 273 1.0× 46 0.5× 63 0.7× 24 537
Majid Montaseri Iran 15 319 0.7× 475 1.3× 169 0.6× 39 0.4× 167 2.0× 49 701
Andrea Ficchì United Kingdom 10 287 0.6× 333 0.9× 87 0.3× 41 0.4× 84 1.0× 21 455
Francisco Assis Souza Filho Brazil 7 267 0.6× 284 0.8× 135 0.5× 29 0.3× 82 1.0× 8 416
Deepashree Raje India 9 341 0.7× 332 0.9× 152 0.6× 37 0.4× 93 1.1× 11 496
Y.R. Liu China 12 248 0.5× 223 0.6× 92 0.3× 23 0.2× 86 1.0× 23 441
Mohammad H. Golmohammadi Iran 11 191 0.4× 141 0.4× 148 0.6× 56 0.6× 90 1.1× 21 344
Huaming Yao China 11 272 0.6× 208 0.6× 177 0.7× 31 0.3× 87 1.0× 29 492

Countries citing papers authored by Xingjun Hong

Since Specialization
Citations

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

Fields of papers citing papers by Xingjun Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjun Hong

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

All Works

19 of 19 papers shown
1.
Li, Xian, et al.. (2025). A novel approach for the estimation of hydrological drought index incorporating precipitation-runoff relationship. Journal of Hydrology. 653. 132734–132734. 2 indexed citations
2.
Hong, Xingjun, Shenglian Guo, Guiya Chen, Na Guo, & Cong Jiang. (2022). A Modified Two-Parameter Monthly Water Balance Model for Runoff Simulation to Assess Hydrological Drought. Water. 14(22). 3715–3715. 5 indexed citations
3.
Tian, Jing, et al.. (2019). A Fair Approach for Multi-Objective Water Resources Allocation. Water Resources Management. 33(10). 3633–3653. 49 indexed citations
4.
Tian, Jing, et al.. (2019). Impacts of Inter-Basin Water Transfer Projects on Optimal Water Resources Allocation in the Hanjiang River Basin, China. Sustainability. 11(7). 2044–2044. 25 indexed citations
5.
Liu, Dedi, Shenglian Guo, Pan Liu, Hui Zou, & Xingjun Hong. (2018). Rational Function Method for Allocating Water Resources in the Coupled Natural-Human Systems. Water Resources Management. 33(1). 57–73. 8 indexed citations
6.
Yin, Jiabo, Shenglian Guo, Shaokun He, et al.. (2018). A copula-based analysis of projected climate changes to bivariate flood quantiles. Journal of Hydrology. 566. 23–42. 91 indexed citations
7.
Guo, Shenglian, et al.. (2017). Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques. Hydrology research. 49(3). 744–760. 18 indexed citations
8.
Guo, Shenglian, et al.. (2017). Characterization of rainstorm modes along the upper mainstream of Yangtze River during 2003–2016. International Journal of Climatology. 38(4). 1976–1988. 13 indexed citations
9.
Liu, Dedi, Shenglian Guo, Quanxi Shao, et al.. (2017). Assessing the effects of adaptation measures on optimal water resources allocation under varied water availability conditions. Journal of Hydrology. 556. 759–774. 76 indexed citations
10.
Zhou, Yanlai, Shenglian Guo, Xingjun Hong, & Fi‐John Chang. (2017). Systematic impact assessment on inter-basin water transfer projects of the Hanjiang River Basin in China. Journal of Hydrology. 553. 584–595. 89 indexed citations
11.
Xu, Changjiang, Jiabo Yin, Shenglian Guo, Zhangjun Liu, & Xingjun Hong. (2016). Deriving Design Flood Hydrograph Based on Conditional Distribution: A Case Study of Danjiangkou Reservoir in Hanjiang Basin. Mathematical Problems in Engineering. 2016. 1–16. 8 indexed citations
12.
Hong, Xingjun, Shenglian Guo, Wang Le, et al.. (2016). Evaluating Water Supply Risk in the Middle and Lower Reaches of Hanjiang River Basin Based on an Integrated Optimal Water Resources Allocation Model. Water. 8(9). 364–364. 27 indexed citations
13.
Wang, Le, Shenglian Guo, Xingjun Hong, Dedi Liu, & Lihua Xiong. (2016). Projected hydrologic regime changes in the Poyang Lake Basin due to climate change. Frontiers of Earth Science. 11(1). 95–113. 12 indexed citations
14.
Yang, Guang, Shenglian Guo, Liping Li, Xingjun Hong, & Le Wang. (2015). Multi-Objective Operating Rules for Danjiangkou Reservoir Under Climate Change. Water Resources Management. 30(3). 1183–1202. 62 indexed citations
15.
Wang, Yun, Shenglian Guo, Guang Yang, Xingjun Hong, & Ting Hu. (2014). Optimal early refill rules for Danjiangkou Reservoir. SHILAP Revista de lepidopterología. 13 indexed citations
16.
Hong, Xingjun, et al.. (2014). Projected Changes of Extreme Precipitation Characteristics for the Poyang Lake Basin Based on Statistical Downscaling Model. 1 indexed citations
17.
Hong, Xingjun, Shenglian Guo, Lihua Xiong, & Zhangjun Liu. (2014). Spatial and temporal analysis of drought using entropy-based standardized precipitation index: a case study in Poyang Lake basin, China. Theoretical and Applied Climatology. 122(3-4). 543–556. 38 indexed citations
18.
Hong, Xingjun, Shenglian Guo, Yanlai Zhou, & Lihua Xiong. (2014). Uncertainties in assessing hydrological drought using streamflow drought index for the upper Yangtze River basin. Stochastic Environmental Research and Risk Assessment. 29(4). 1235–1247. 102 indexed citations
19.
Hong, Xingjun, Shenglian Guo, & Yanlai Zhou. (2013). Applicability of Standardized Precipitation Index with Alternative Distribution Functions. 1 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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