Haijiao Yu

733 total citations
16 papers, 563 citations indexed

About

Haijiao Yu is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Haijiao Yu has authored 16 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 10 papers in Water Science and Technology and 6 papers in Global and Planetary Change. Recurrent topics in Haijiao Yu's work include Hydrological Forecasting Using AI (10 papers), Hydrology and Watershed Management Studies (8 papers) and Flood Risk Assessment and Management (3 papers). Haijiao Yu is often cited by papers focused on Hydrological Forecasting Using AI (10 papers), Hydrology and Watershed Management Studies (8 papers) and Flood Risk Assessment and Management (3 papers). Haijiao Yu collaborates with scholars based in China, Canada and Australia. Haijiao Yu's co-authors include Xiaohu Wen, Jianhua Si, Jun Wu, Min Wu, Jun Wu, Zhibin He, Xianhong Meng, Zihan Yang, Linshan Yang and Bo Li and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Journal of Hydrology.

In The Last Decade

Haijiao Yu

16 papers receiving 544 citations

Peers

Countries citing papers authored by Haijiao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Haijiao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijiao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Haijiao Yu. A scholar is included among the top collaborators of Haijiao Yu 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 Haijiao Yu. Haijiao Yu 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:

16 of 16 papers shown

#	Work	Indexed citations
1	A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China 2024 ·Hydrology research ·(unknown), Linshan Yang, Xiaohu Wen, Weide Li, Haijiao Yu, Ting Zhou	15
2	A coupled model integrating dual attention mechanism into BiGRU-RED for multi-step-ahead streamflow forecasting 2024 ·Journal of Hydrology ·Chunlin Huang, (unknown), Weide Li, Haijiao Yu, Rongxia Li, (unknown)	7
3	Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting 2024 ·Journal of Hydrology ·(unknown), Linshan Yang, Xiaohu Wen, Haijiao Yu, Weide Li, Jan Adamowski, Rahim Barzegar	26
4	Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China 2024 ·Hydrological Sciences Journal ·Haijiao Yu, Linshan Yang, Qi Feng, Rahim Barzegar, Jan Adamowski, (unknown)	4
5	Hydrochemical characteristics, quality and health risk assessment of nitrate enriched coastal groundwater in northern China 2023 ·Journal of Cleaner Production ·(unknown), Xianhong Meng, Xiaohu Wen, Jun Wu, Haijiao Yu, Min Wu, Ting Zhou	46
6	Contamination characteristics, source identification, and source-specific health risks of heavy metal(loid)s in groundwater of an arid oasis region in Northwest China 2022 ·The Science of The Total Environment ·(unknown), Xianhong Meng, Xiaohu Wen, Jun Wu, Haijiao Yu, (unknown)	88
7	Bayesian Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas 2022 ·Remote Sensing ·Ting Zhou, Xiaohu Wen, Qi Feng, Haijiao Yu, Haiyang Xi	13
8	Comprehensive Probabilistic Health Risk Assessment for Exposure to Arsenic and Cadmium in Groundwater 2021 ·Environmental Management ·(unknown), Xiaohu Wen, Jun Wu, Min Wu, Haijiao Yu, Chuanqi Zhang	27
9	Deep Learning-Based Predictive Framework for Groundwater Level Forecast in Arid Irrigated Areas 2021 ·Water ·Wei Liu, Haijiao Yu, Linshan Yang, Zhenliang Yin, Meng Zhu, Xiaohu Wen	21
10	Poplar trees do not always act as a water pump: Evidence from modeling deep drainage in a low-coverage-mode shelterbelt in China 2021 ·Journal of Hydrology ·(unknown), Wei Xiong, Wenbin Yang, Tao Wang, (unknown), (unknown), (unknown), Haijiao Yu, (unknown), Mingliang Zhang	12
11	Data-based groundwater quality estimation and uncertainty analysis for irrigation agriculture 2021 ·Agricultural Water Management ·Haijiao Yu, Xiaohu Wen, (unknown), (unknown), Jun Wu, Ying Zhao	26
12	Sustainability Assessment of Water Resources in Beijing 2020 ·Water ·Haijiao Yu, Zihan Yang, Bo Li	18
13	Uncertainty analysis of artificial intelligence modeling daily reference evapotranspiration in the northwest end of China 2020 ·Computers and Electronics in Agriculture ·Haijiao Yu, Xiaohu Wen, Bo Li, Zihan Yang, Min Wu, (unknown)	56
14	Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China 2017 ·Water Resources Management ·Haijiao Yu, Xiaohu Wen, Feng Qi, Ravinesh C. Deo, Jianhua Si, Min Wu	41
15	Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions 2015 ·Water Resources Management ·Xiaohu Wen, Jianhua Si, Zhibin He, Jun Wu, (unknown), Haijiao Yu	142
16	Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer 2014 ·Neural Computing and Applications ·Xiaohu Wen, Qi Feng, Haijiao Yu, (unknown), Jianhua Si, Zongqiang Chang, Haiyang Xi	21

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.

Explore authors with similar magnitude of impact