Liang‐Jun Zhu

736 total citations
23 papers, 574 citations indexed

About

Liang‐Jun Zhu is a scholar working on Water Science and Technology, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Liang‐Jun Zhu has authored 23 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Water Science and Technology, 8 papers in Global and Planetary Change and 6 papers in Ocean Engineering. Recurrent topics in Liang‐Jun Zhu's work include Hydrology and Watershed Management Studies (12 papers), Water resources management and optimization (6 papers) and Flood Risk Assessment and Management (6 papers). Liang‐Jun Zhu is often cited by papers focused on Hydrology and Watershed Management Studies (12 papers), Water resources management and optimization (6 papers) and Flood Risk Assessment and Management (6 papers). Liang‐Jun Zhu collaborates with scholars based in China, United States and Sweden. Liang‐Jun Zhu's co-authors include Cheng‐Zhi Qin, Zongping Ren, Bing Wang, A‐Xing Zhu, Guang‐hui Zhang, XC Zhang, Junzhi Liu, Hao Wang, Lunjiang Wang and Guanghui Zhang and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

Liang‐Jun Zhu

22 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang‐Jun Zhu China 11 219 157 150 142 90 23 574
Sarah Schönbrodt‐Stitt Germany 13 235 1.1× 151 1.0× 142 0.9× 137 1.0× 85 0.9× 24 523
Ana Laguna Spain 14 373 1.7× 207 1.3× 123 0.8× 118 0.8× 66 0.7× 37 693
Zhongfa Zhou China 13 93 0.4× 211 1.3× 188 1.3× 78 0.5× 87 1.0× 107 661
Alessandro Errico Italy 14 241 1.1× 246 1.6× 195 1.3× 143 1.0× 74 0.8× 27 601
Emiliana Valentini Italy 17 123 0.6× 317 2.0× 266 1.8× 87 0.6× 80 0.9× 50 738
Karen Holmes Australia 15 262 1.2× 289 1.8× 236 1.6× 122 0.9× 96 1.1× 30 843
Markus Casper Germany 15 189 0.9× 159 1.0× 340 2.3× 384 2.7× 48 0.5× 38 695
Ross Searle Australia 16 403 1.8× 230 1.5× 125 0.8× 112 0.8× 85 0.9× 37 947
P. P. Dabral India 10 343 1.6× 120 0.8× 319 2.1× 335 2.4× 100 1.1× 21 727

Countries citing papers authored by Liang‐Jun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Jun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang‐Jun Zhu. 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 Liang‐Jun Zhu. The network helps show where Liang‐Jun Zhu may publish in the future.

Co-authorship network of co-authors of Liang‐Jun Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Jun Zhu. A scholar is included among the top collaborators of Liang‐Jun Zhu 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 Liang‐Jun Zhu. Liang‐Jun Zhu 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.
Qin, Cheng‐Zhi, et al.. (2025). Intelligent determination of proper spatial extents for input data during geographical model workflow building. Environmental Modelling & Software. 187. 106369–106369. 1 indexed citations
3.
Zheng, Xue, Jay Pan, Liang‐Jun Zhu, et al.. (2025). Spatial joint hazard assessment of landslide susceptibility and intensity within a single framework: Environmental insights from the Wenchuan earthquake. The Science of The Total Environment. 963. 178545–178545. 5 indexed citations
4.
5.
Qin, Cheng‐Zhi, et al.. (2023). Large-area soil mapping based on environmental similarity with adaptive consideration of spatial distance to samples. Geoderma. 439. 116683–116683. 5 indexed citations
6.
Shen, Shen, Cheng‐Zhi Qin, Liang‐Jun Zhu, & A‐Xing Zhu. (2023). From scenario to roadmap: Design and evaluation of a web-based participatory watershed planning system for optimizing multistage implementation plans of management practices under stepwise investment. Journal of Environmental Management. 342. 118280–118280. 4 indexed citations
7.
Shen, Shen, Cheng‐Zhi Qin, Liang‐Jun Zhu, & A‐Xing Zhu. (2023). Optimizing the Implementation Plan of Watershed Best Management Practices With Time‐Varying Effectiveness Under Stepwise Investment. Water Resources Research. 59(6). 9 indexed citations
8.
Wu, Tong, et al.. (2023). Identification of watershed priority management areas based on landscape positions: An implementation using SWAT+. Journal of Hydrology. 619. 129281–129281. 11 indexed citations
9.
Zhu, Liang‐Jun, et al.. (2022). Digital soil mapping with adaptive consideration of the applicability of environmental covariates over large areas. International Journal of Applied Earth Observation and Geoinformation. 113. 102986–102986. 9 indexed citations
10.
Liu, Junzhi, Liang‐Jun Zhu, Zheng Duan, et al.. (2022). A dataset of lake-catchment characteristics for the Tibetan Plateau. Earth system science data. 14(8). 3791–3805. 28 indexed citations
11.
Zhu, Liang‐Jun, Cheng‐Zhi Qin, & A‐Xing Zhu. (2020). Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units. Progress in Physical Geography Earth and Environment. 45(2). 207–227. 8 indexed citations
12.
Qin, Cheng‐Zhi & Liang‐Jun Zhu. (2020). GDAL/OGR and Geospatial Data IO Libraries. 2020(Q4). 111 indexed citations
13.
Zhu, Liang‐Jun, Junzhi Liu, Cheng‐Zhi Qin, & A‐Xing Zhu. (2019). A modular and parallelized watershed modeling framework. Environmental Modelling & Software. 122. 104526–104526. 30 indexed citations
14.
Zhu, A‐Xing, et al.. (2019). Integrated watershed modeling and scenario analysis: A new paradigm for integrated study of physical geography?. 地理科学进展. 38(8). 1111–1122. 4 indexed citations
15.
Zhu, Liang‐Jun, Cheng‐Zhi Qin, A‐Xing Zhu, Junzhi Liu, & Hui Wu. (2019). Effects of Different Spatial Configuration Units for the Spatial Optimization of Watershed Best Management Practice Scenarios. Water. 11(2). 262–262. 16 indexed citations
16.
Qin, Cheng‐Zhi, et al.. (2018). Spatial optimization of watershed best management practices based on slope position units. Journal of Soil and Water Conservation. 73(5). 504–517. 19 indexed citations
17.
Zhu, Liang‐Jun, A‐Xing Zhu, Cheng‐Zhi Qin, & Junzhi Liu. (2018). Automatic approach to deriving fuzzy slope positions. Geomorphology. 304. 173–183. 13 indexed citations
18.
Ren, Zongping, Liang‐Jun Zhu, Bing Wang, & Shengdong Cheng. (2016). Soil hydraulic conductivity as affected by vegetation restoration age on the Loess Plateau, China. Journal of Arid Land. 8(4). 546–555. 40 indexed citations
19.
Wang, Bing, et al.. (2013). Effect of natural restoration time of abandoned farmland on soil detachment by overland flow in the Loess Plateau of China. Earth Surface Processes and Landforms. 38(14). 1725–1734. 115 indexed citations
20.
Dong, Siyang, et al.. (2010). Application of design theory for restoring the black beach degraded rangeland at the headwater areas of the Qinghai-Tibetan Plateau. African Journal of Agricultural Research. 5(7). 532–538. 89 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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