Qinli Yang

2.4k total citations
77 papers, 1.7k citations indexed

About

Qinli Yang is a scholar working on Water Science and Technology, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Qinli Yang has authored 77 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Water Science and Technology, 26 papers in Artificial Intelligence and 24 papers in Global and Planetary Change. Recurrent topics in Qinli Yang's work include Hydrology and Watershed Management Studies (28 papers), Flood Risk Assessment and Management (15 papers) and Complex Network Analysis Techniques (14 papers). Qinli Yang is often cited by papers focused on Hydrology and Watershed Management Studies (28 papers), Flood Risk Assessment and Management (15 papers) and Complex Network Analysis Techniques (14 papers). Qinli Yang collaborates with scholars based in China, United Kingdom and Germany. Qinli Yang's co-authors include Junming Shao, Guoqing Wang, Miklas Scholz, Claudia Plant, Jiaming Liu, Jianyun Zhang, Christian Böhm, Zhichao Han, Tao Zhou and Zhenxin Bao and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Hydrology.

In The Last Decade

Qinli Yang

76 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qinli Yang China	26	527	468	447	357	295	77	1.7k
Wei Feng China	24	362 0.7×	199 0.4×	565 1.3×	138 0.4×	153 0.5×	103	2.1k
Young‐Il Moon South Korea	17	667 1.3×	313 0.7×	140 0.3×	199 0.6×	44 0.1×	93	1.2k
Amy McGovern United States	28	1.1k 2.1×	112 0.2×	697 1.6×	543 1.5×	46 0.2×	96	2.6k
Yun Jiang China	24	394 0.7×	87 0.2×	523 1.2×	544 1.5×	24 0.1×	63	2.7k
Fei Wang China	20	192 0.4×	116 0.2×	325 0.7×	186 0.5×	39 0.1×	141	1.6k
Maheswaran Rathinasamy India	26	1.2k 2.2×	784 1.7×	172 0.4×	939 2.6×	59 0.2×	58	2.0k
Ebrahim Ghaderpour Italy	29	450 0.9×	151 0.3×	205 0.5×	317 0.9×	12 0.0×	95	1.8k
Meiling Cheng United States	9	197 0.4×	251 0.5×	273 0.6×	257 0.7×	44 0.1×	17	1.0k
Robert Moorhead United States	22	162 0.3×	62 0.1×	156 0.3×	397 1.1×	28 0.1×	122	1.7k

Countries citing papers authored by Qinli Yang

Since Specialization

Citations

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

Fields of papers citing papers by Qinli Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinli Yang

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

All Works

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20 of 20 papers shown

Yang, Qinli, et al.. (2025). An adaptive rainfall-runoff model for daily runoff prediction under the changing environment: Stream-LSTM. Environmental Modelling & Software. 191. 106524–106524. 2 indexed citations

Chen, Hao, et al.. (2024). Attribute enhanced random walk for community detection in attributed networks. Neurocomputing. 615. 128826–128826. 1 indexed citations

Din, Salah Ud, et al.. (2023). A reliable adaptive prototype-based learning for evolving data streams with limited labels. Information Processing & Management. 61(1). 103532–103532. 7 indexed citations

Ullah, Aman, et al.. (2023). LSS: A locality-based structure system to evaluate the spreader’s importance in social complex networks. Expert Systems with Applications. 228. 120326–120326. 25 indexed citations

Kumar, Jay, et al.. (2023). A context-enhanced Dirichlet model for online clustering in short text streams. Expert Systems with Applications. 228. 120262–120262. 3 indexed citations

Zhang, Zhong, et al.. (2022). Mixhead: Breaking the low-rank bottleneck in multi-head attention language models. Knowledge-Based Systems. 240. 108075–108075. 11 indexed citations

Sorg, Christian, et al.. (2022). Reducing variations in multi-center Alzheimer’s disease classification with convolutional adversarial autoencoder. Medical Image Analysis. 82. 102585–102585. 26 indexed citations

Yang, Qinli, et al.. (2022). Runoff Prediction in a Data Scarce Region Based on Few-Shot Learning. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 6304–6307.

Zhang, Gangyi, et al.. (2021). Toward Noise-Resistant Graph Embedding With Subspace Clustering Information. IEEE Transactions on Cybernetics. 53(5). 2980–2992. 4 indexed citations

10.

Kumar, Jay, et al.. (2021). An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering. IEEE Transactions on Cybernetics. 52(12). 13809–13820. 6 indexed citations

11.

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

12.

Liu, Yue, Jianyun Zhang, Qinli Yang, Xiong Zhou, & Guoqing Wang. (2021). Changes in and Modelling of Hydrological Process for a Semi-Arid Catchment in the Context of Human Disturbance. Frontiers in Earth Science. 9. 6 indexed citations

13.

Yang, Qinli, et al.. (2020). A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China. Journal of Hydrology. 584. 124664–124664. 147 indexed citations

14.

Chen, Hao, et al.. (2020). Attributed graph clustering with subspace stochastic block model. Information Sciences. 535. 130–141. 22 indexed citations

15.

Sorg, Christian, Changgang Zheng, Qinli Yang, et al.. (2019). Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder. NeuroImage Clinical. 22. 101725–101725. 22 indexed citations

16.

Shao, Junming, Chun Meng, Masoud Tahmasian, et al.. (2018). Common and distinct changes of default mode and salience network in schizophrenia and major depression. Brain Imaging and Behavior. 12(6). 1708–1719. 57 indexed citations

17.

Yang, Qinli, et al.. (2018). Assessing climate impact on forest cover in areas undergoing substantial land cover change using Landsat imagery. The Science of The Total Environment. 659. 732–745. 30 indexed citations

18.

Shao, Junming, Qinli Yang, Hoang-Vu Dang, Bertil Schmidt, & Stefan Krämer. (2016). Scalable Clustering by Iterative Partitioning and Point Attractor Representation. ACM Transactions on Knowledge Discovery from Data. 11(1). 1–23. 17 indexed citations

19.

Yang, Qinli, et al.. (2010). Classification and assessment of water bodies as adaptive structural measures for flood risk management planning. Journal of Environmental Management. 91(9). 1855–1863. 27 indexed citations

20.

Yang, Qinli, Junming Shao, Miklas Scholz, & Claudia Plant. (2010). Feature selection methods for characterizing and classifying adaptive Sustainable Flood Retention Basins. Water Research. 45(3). 993–1004. 30 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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