Shaoxing Mo

536 total citations
15 papers, 375 citations indexed

About

Shaoxing Mo is a scholar working on Environmental Engineering, Ocean Engineering and Oceanography. According to data from OpenAlex, Shaoxing Mo has authored 15 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 7 papers in Ocean Engineering and 4 papers in Oceanography. Recurrent topics in Shaoxing Mo's work include Reservoir Engineering and Simulation Methods (5 papers), Geophysics and Gravity Measurements (4 papers) and Groundwater flow and contamination studies (4 papers). Shaoxing Mo is often cited by papers focused on Reservoir Engineering and Simulation Methods (5 papers), Geophysics and Gravity Measurements (4 papers) and Groundwater flow and contamination studies (4 papers). Shaoxing Mo collaborates with scholars based in China, United States and Denmark. Shaoxing Mo's co-authors include Jichun Wu, Xiaoqing Shi, Nicholas Zabaras, Ehsan Forootan, Yulong Zhong, Wei Feng, Ming Ye, Dan Lu, Xueyuan Kang and Nooshin Mehrnegar and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Shaoxing Mo

14 papers receiving 373 citations

Peers

Countries citing papers authored by Shaoxing Mo

Since Specialization

Citations

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

Fields of papers citing papers by Shaoxing Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoxing Mo

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Near‐Real‐Time Monitoring of Global Terrestrial Water Storage Anomalies and Hydrological Droughts 2025 ·Geophysical Research Letters ·Shaoxing Mo, Maike Schumacher, Albert I. J. M. van Dijk, Xiaoqing Shi, Jichun Wu, Ehsan Forootan	1
2	An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction 2025 ·Water Resources Research ·Zhen Peng, Shaoxing Mo, Alexander Y. Sun, Jichun Wu, Xiankui Zeng, Miao Lu, Xiaoqing Shi	0
3	AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Shaoxing Mo, (unknown), (unknown), (unknown), (unknown)	1
4	Deep learning-based geological parameterization for history matching CO2 plume migration in complex aquifers 2024 ·Advances in Water Resources ·Feng Li, Shaoxing Mo, Alexander Y. Sun, Dexi Wang, Zhongping Yang, Yuhan Chen, Haiou Wang, Jichun Wu, Xiaoqing Shi	4
5	Uncertainty quantification of CO2 plume migration in highly channelized aquifers using probabilistic convolutional neural networks 2023 ·Advances in Water Resources ·Feng Li, Shaoxing Mo, Alexander Y. Sun, Jichun Wu, Xiaoqing Shi	7
6	Water storage changes (2003–2020) in the Ordos Basin, China, explained by GRACE data and interpretable deep learning 2023 ·Hydrogeology Journal ·(unknown), (unknown), Shaoxing Mo, Xiaoqing Shi, (unknown), Yuanyuan Sun, Xiaomin Liu, Limin Duan, (unknown), Tingxi Liu, Jichun Wu	4
7	Hydrological Droughts of 2017–2018 Explained by the Bayesian Reconstruction of GRACE(‐FO) Fields 2022 ·Water Resources Research ·Shaoxing Mo, Yulong Zhong, Ehsan Forootan, Xiaoqing Shi, Wei Feng, (unknown), Jichun Wu	28
8	Deep learning based optimization under uncertainty for surfactant-enhanced DNAPL remediation in highly heterogeneous aquifers 2022 ·Journal of Hydrology ·(unknown), Xiaoqing Shi, Shaoxing Mo, Xueyuan Kang, Jichun Wu	13
9	Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap 2021 ·Journal of Hydrology ·Shaoxing Mo, Yulong Zhong, Ehsan Forootan, Nooshin Mehrnegar, (unknown), Jichun Wu, Wei Feng, Xiaoqing Shi	75
10	At the Traffic Intersection, Stopping, or Walking? Pedestrian Path Prediction Based on KPOF-GPDM for Driving Assistance 2021 ·Journal of Advanced Transportation ·(unknown), (unknown), Bo Zhao, Shaoxing Mo	1
11	Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother 2021 ·Water Resources Research ·Xueyuan Kang, Amalia Kokkinaki, Peter K. Kitanidis, Xiaoqing Shi, Jonghyun Lee, Shaoxing Mo, Jichun Wu	50
12	Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities 2020 ·Water Resources Research ·Shaoxing Mo, Nicholas Zabaras, Xiaoqing Shi, Jichun Wu	102
13	An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling 2019 ·Computers & Geosciences ·Shaoxing Mo, Xiaoqing Shi, Dan Lu, Ming Ye, Jichun Wu	23
14	A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling 2017 ·Water Resources Research ·Shaoxing Mo, Dan Lu, Xiaoqing Shi, Guannan Zhang, Ming Ye, Jianfeng Wu, Jichun Wu	52
15	Effect of Geologic Parameters on CO2 Storage in Deep Saline Aquifers (SPE93952) 2005 ·Shaoxing Mo, (unknown), Erik Lindeberg, (unknown)	14

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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