Xinghan Xu

627 total citations
13 papers, 469 citations indexed

About

Xinghan Xu is a scholar working on Artificial Intelligence, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Xinghan Xu has authored 13 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Environmental Engineering. Recurrent topics in Xinghan Xu's work include Air Quality and Health Impacts (5 papers), Neural Networks and Applications (4 papers) and Air Quality Monitoring and Forecasting (4 papers). Xinghan Xu is often cited by papers focused on Air Quality and Health Impacts (5 papers), Neural Networks and Applications (4 papers) and Air Quality Monitoring and Forecasting (4 papers). Xinghan Xu collaborates with scholars based in China, Japan and South Korea. Xinghan Xu's co-authors include Weijie Ren, Minoru Yoneda, Toshihiko Masui, Hancheng Dai, Kan Yi, Tomoko Hasegawa, Yang Xie, Shinichiro Fujimori, Gakuji Kurata and Yi Liang and has published in prestigious journals such as PLoS ONE, Atmospheric Environment and Environment International.

In The Last Decade

Xinghan Xu

13 papers receiving 463 citations

Peers

Countries citing papers authored by Xinghan Xu

Since Specialization

Citations

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

Fields of papers citing papers by Xinghan Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghan Xu

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Adaptive wetland management: Insights from nonlinear dynamics between vegetation and hydrological variables 2025 ·Ecological Indicators ·(unknown), Jianwei Liu, (unknown), Zhenshan Wang, Xiaolu Pang, Xinghan Xu	1
2	Random Fourier feature kernel recursive maximum mixture correntropy algorithm for online time series prediction 2021 ·ISA Transactions ·Xinghan Xu, Weijie Ren	7
3	Hierarchical delay-memory echo state network: A model designed for multi-step chaotic time series prediction 2021 ·Engineering Applications of Artificial Intelligence ·(unknown), Weijie Ren, Xinghan Xu	34
4	Review of satellite-driven statistical models PM 2.5 concentration estimation with comprehensive information 2021 ·Atmospheric Environment ·Xinghan Xu, (unknown), Yi Liang	31
5	A hybrid model of stacked autoencoder and modified particle swarm optimization for multivariate chaotic time series forecasting 2021 ·Applied Soft Computing ·Xinghan Xu, Weijie Ren	26
6	Air quality co-benefits from climate mitigation for human health in South Korea 2020 ·Environment International ·Satbyul Estella Kim, Yang Xie, Hancheng Dai, Shinichiro Fujimori, Yasuaki Hijioka, Yasuhiro Honda, Masahiro Hashizume, Toshihiko Masui, Tomoko Hasegawa, Xinghan Xu, Kan Yi, Ho Kim	49
7	Estimation of ground-level PM2.5 concentration using MODIS AOD and corrected regression model over Beijing, China 2020 ·PLoS ONE ·Xinghan Xu, (unknown)	29
8	Application of a Hybrid Model Based on Echo State Network and Improved Particle Swarm Optimization in PM2.5 Concentration Forecasting: A Case Study of Beijing, China 2019 ·Sustainability ·Xinghan Xu, Weijie Ren	24
9	A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction 2019 ·Symmetry ·Xinghan Xu, Weijie Ren	21
10	Prediction of Air Pollution Concentration Based on mRMR and Echo State Network 2019 ·Applied Sciences ·Xinghan Xu, Weijie Ren	23
11	Multitask Air-Quality Prediction Based on LSTM-Autoencoder Model 2019 ·IEEE Transactions on Cybernetics ·Xinghan Xu, Minoru Yoneda	118
12	A Combination Model Based on EEMD-PE and Echo State Network for Chaotic Time Series Prediction 2019 ·Xinghan Xu, Weijie Ren	3
13	Co-benefits of climate mitigation on air quality and human health in Asian countries 2018 ·Environment International ·Yang Xie, Hancheng Dai, Xinghan Xu, Shinichiro Fujimori, Tomoko Hasegawa, Kan Yi, Toshihiko Masui, Gakuji Kurata	103

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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