Lu Su

729 total citations
20 papers, 484 citations indexed

About

Lu Su is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Lu Su has authored 20 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 8 papers in Atmospheric Science. Recurrent topics in Lu Su's work include Climate variability and models (9 papers), Hydrology and Watershed Management Studies (8 papers) and Hydrology and Drought Analysis (5 papers). Lu Su is often cited by papers focused on Climate variability and models (9 papers), Hydrology and Watershed Management Studies (8 papers) and Hydrology and Drought Analysis (5 papers). Lu Su collaborates with scholars based in United States, China and United Kingdom. Lu Su's co-authors include Chiyuan Miao, Qingyun Duan, Qiaohong Sun, Xiaohui Lei, Hu Li, Dennis P. Lettenmaier, Hu Li, Dongxian Kong, Alistair G.L. Borthwick and David M. Mocko and has published in prestigious journals such as Journal of Hydrology, Bulletin of the American Meteorological Society and Environmental Science and Pollution Research.

In The Last Decade

Lu Su

20 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu Su United States	9	344	214	190	84	34	20	484
Muhammad Zia ur Rahman Hashmi Pakistan	12	315 0.9×	180 0.8×	190 1.0×	120 1.4×	19 0.6×	14	468
Donglai Jiao China	9	278 0.8×	120 0.6×	180 0.9×	94 1.1×	34 1.0×	36	448
Hoang Tran United States	11	351 1.0×	226 1.1×	298 1.6×	168 2.0×	45 1.3×	38	593
Negin Hayatbini United States	8	302 0.9×	103 0.5×	296 1.6×	117 1.4×	25 0.7×	10	484
Fatih Tosunoğlu Türkiye	15	550 1.6×	257 1.2×	102 0.5×	165 2.0×	13 0.4×	38	671
Vinit Sehgal United States	12	350 1.0×	228 1.1×	137 0.7×	260 3.1×	17 0.5×	19	543
Laurent Linguet French Guiana	12	198 0.6×	64 0.3×	132 0.7×	71 0.8×	20 0.6×	33	453
T. Brandsma Netherlands	15	685 2.0×	162 0.8×	437 2.3×	278 3.3×	22 0.6×	25	913
Hongjoon Shin South Korea	10	308 0.9×	134 0.6×	111 0.6×	53 0.6×	6 0.2×	38	444
Sogol Moradian Ireland	14	347 1.0×	121 0.6×	171 0.9×	70 0.8×	35 1.0×	23	491

Countries citing papers authored by Lu Su

Since Specialization

Citations

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

Fields of papers citing papers by Lu Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Su

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Su, Lu, Dennis P. Lettenmaier, Ming Pan, & Benjamin Bass. (2024). Improving runoff simulation in the Western United States with Noah-MP and VIC models. Hydrology and earth system sciences. 28(13). 3079–3097. 4 indexed citations

Alam, Sarfaraz, et al.. (2024). The Role of Antecedent Winter Soil Moisture Carryover on Spring Runoff Predictability in Snow-Influenced Western U.S. Catchments. Journal of Hydrometeorology. 25(10). 1561–1575. 2 indexed citations

Su, Lu, Qian Cao, Shraddhanand Shukla, Ming Pan, & Dennis P. Lettenmaier. (2023). Evaluation of Subseasonal Drought Forecast Skill over the Coastal Western United States. Journal of Hydrometeorology. 24(4). 709–726. 8 indexed citations

Jin, Haiming, et al.. (2022). Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 3950–3960. 26 indexed citations

Su, Lu, Chiyuan Miao, & Jiaojiao Gou. (2021). Long-term trends in Songhua River Basin streamflow and its multivariate relationships with meteorological factors. Environmental Science and Pollution Research. 28(45). 64206–64219. 6 indexed citations

Pierce, David W., Lu Su, Daniel R. Cayan, et al.. (2021). An extreme-preserving long-term gridded daily precipitation data set for the conterminous United States. Journal of Hydrometeorology. 30 indexed citations

Su, Lu, Qian Cao, Mu Xiao, et al.. (2021). Drought Variability over the Conterminous United States for the Past Century. Journal of Hydrometeorology. 22(5). 1153–1168. 26 indexed citations

Peters‐Lidard, C. D., David M. Mocko, Lu Su, et al.. (2021). Advances in Land Surface Models and Indicators for Drought Monitoring and Prediction. Bulletin of the American Meteorological Society. 102(5). E1099–E1122. 14 indexed citations

Zhang, Hengtong, Tianhang Zheng, Jing Gao, et al.. (2019). Towards Data Poisoning Attack against Knowledge Graph Embedding.. arXiv (Cornell University). 5 indexed citations

10.

Huang, Tinglin, et al.. (2019). [Sources and Distribution of Phosphorus in Sediments of the Jinpen Reservoir].. PubMed. 40(6). 2738–2744. 2 indexed citations

11.

Su, Lu, Chiyuan Miao, Qingyun Duan, Xiaohui Lei, & Hu Li. (2019). Multiple‐Wavelet Coherence of World's Large Rivers With Meteorological Factors and Ocean Signals. Journal of Geophysical Research Atmospheres. 124(9). 4932–4954. 98 indexed citations

12.

Su, Lu, Chiyuan Miao, Dongxian Kong, et al.. (2018). Long-term trends in global river flow and the causal relationships between river flow and ocean signals. Journal of Hydrology. 563. 818–833. 66 indexed citations

13.

Su, Lu, Tinglin Huang, Nan Li, et al.. (2018). [Characteristics of Sediment Oxygen Demand in a Drinking Water Reservoir].. PubMed. 39(3). 1159–1166. 2 indexed citations

14.

Yang, Tiantian, Yumeng Tao, Jingjing Li, et al.. (2017). Multi-criterion model ensemble of CMIP5 surface air temperature over China. Theoretical and Applied Climatology. 132(3-4). 1057–1072. 36 indexed citations

15.

Su, Lu, Chiyuan Miao, Alistair G.L. Borthwick, & Qingyun Duan. (2017). Wavelet-based variability of Yellow River discharge at 500-, 100-, and 50-year timescales. Gondwana Research. 49. 94–105. 28 indexed citations

16.

Su, Lu, Jing Gao, & Qing He. (2017). Towards Quality-Aware Big Data Integration for Crowdsourced Road Sensing System. 1 indexed citations

17.

Quinn, Christopher J., Ali Pınar, Jing Gao, & Lu Su. (2017). Robust Sparse Approximations for Stochastic Dynamical Systems. IFAC-PapersOnLine. 50(1). 14010–14015. 1 indexed citations

18.

Miao, Chiyuan, Lu Su, Qiaohong Sun, & Qingyun Duan. (2016). A nonstationary bias‐correction technique to remove bias in GCM simulations. Journal of Geophysical Research Atmospheres. 121(10). 5718–5735. 125 indexed citations

19.

Quinn, Christopher J., Ali Pınar, Jing Gao, & Lu Su. (2016). Sparse approximations of directed information graphs. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1735–1739. 2 indexed citations

20.

Ai, Yong, et al.. (2014). Characteristics of atmospheric density spectra in the mesopause region at Wuhan, China during March 1996. Earth Planets and Space. 50(4). 383–386. 2 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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