Bin Mu

524 total citations
47 papers, 335 citations indexed

About

Bin Mu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Bin Mu has authored 47 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 15 papers in Oceanography. Recurrent topics in Bin Mu's work include Meteorological Phenomena and Simulations (21 papers), Climate variability and models (21 papers) and Oceanographic and Atmospheric Processes (11 papers). Bin Mu is often cited by papers focused on Meteorological Phenomena and Simulations (21 papers), Climate variability and models (21 papers) and Oceanographic and Atmospheric Processes (11 papers). Bin Mu collaborates with scholars based in China, Canada and Greece. Bin Mu's co-authors include Shijin Yuan, Evangelos Papadopoulos, Bo Qin, Hongyu Li, Lei Chen, Peng Cheng, Meng Dai, Fuxin Chen, Feifan Zhou and Xiaodan Luo and has published in prestigious journals such as Computers & Geosciences, IEEE/ASME Transactions on Mechatronics and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Bin Mu

44 papers receiving 326 citations

Peers

Bin Mu

GPC

OCEAN

CSE

Pengfei Xie China

Susumu Shimada Japan

Emanuele Ragnoli Ireland

M. Srinivasa Rao India

Shuxin Wang China

Dong‐Hoon Kim South Korea

Guillaume Hajduch France

Yian Wang China

Pengfei Xie China

Bin Mu

77 ×0.6

55 ×0.4

GPC

77 ×1.0

OCEAN

39 ×0.6

CSE

41 ×0.7

Citations per year, relative to Bin Mu Bin Mu (= 1×) peers Pengfei Xie

Countries citing papers authored by Bin Mu

Since Specialization

Citations

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

Fields of papers citing papers by Bin Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Mu. A scholar is included among the top collaborators of Bin Mu 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 Bin Mu. Bin Mu 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

Mu, Bin, et al.. (2024). Multivariate Upstream Kuroshio Transport (UKT) Prediction and Targeted Observation Sensitive Area Identification of UKT Seasonal Reduction. Ocean Modelling. 189. 102344–102344. 1 indexed citations

Mu, Bin, et al.. (2024). An extension to ensemble forecast of conditional nonlinear optimal perturbation considering nonlinear interaction between initial and model parametric uncertainties. Atmospheric Research. 311. 107682–107682.

Luo, Xiaodan, et al.. (2024). A deep learning-based bias correction model for Arctic sea ice concentration towards MITgcm. Ocean Modelling. 188. 102326–102326. 6 indexed citations

Yuan, Shijin, et al.. (2023). A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP. Ocean Modelling. 184. 102213–102213. 1 indexed citations

Mu, Bin, et al.. (2023). IceTFT v1.0.0: interpretable long-term prediction of Arctic sea ice extent with deep learning. Geoscientific model development. 16(16). 4677–4697. 5 indexed citations

Mu, Bin, et al.. (2023). NAO Seasonal Forecast Using a Multivariate Air–Sea Coupled Deep Learning Model Combined with Causal Discovery. Atmosphere. 14(5). 792–792. 7 indexed citations

Mu, Bin, et al.. (2022). The NAO Variability Prediction and Forecasting with Multiple Time Scales Driven by ENSO Using Machine Learning Approaches. Computational Intelligence and Neuroscience. 2022. 1–22. 2 indexed citations

Mu, Bin, et al.. (2022). Ensemble Forecast for Tropical Cyclone Based on CNOP-P Method: A Case Study of WRF Model and Two Typhoons. Journal of Tropical Meteorology. 28(2). 121–138. 1 indexed citations

Mu, Bin, Bo Qin, & Shijin Yuan. (2022). ENSO‐GTC: ENSO Deep Learning Forecast Model With a Global Spatial‐Temporal Teleconnection Coupler. Journal of Advances in Modeling Earth Systems. 14(12). 23 indexed citations

10.

Yuan, Shijin, et al.. (2021). An Improved Continuous Tabu Search Algorithm with Adaptive Neighborhood Radius and Increasing Search Iteration Times Strategies. International Journal of Artificial Intelligence Tools. 30(2). 2150001–2150001. 2 indexed citations

11.

Mu, Bin, et al.. (2020). Applying Convolutional LSTM Network to Predict El Niño Events: Transfer Learning from The Data of Dynamical Model and Observation. 215–219. 6 indexed citations

12.

Mu, Bin, et al.. (2020). Prediction of North Atlantic Oscillation Index Associated with the Sea Level Pressure Using DWT-LSTM and DWT-ConvLSTM Networks. Mathematical Problems in Engineering. 2020. 1–14. 3 indexed citations

13.

Mu, Bin & Meng Dai. (2019). Recommend Taxi Pick-up Hotspots Based on Density-based Clustering. 176–181. 6 indexed citations

14.

Mu, Bin, et al.. (2019). A Parallel Hybrid Intelligence Algorithm for Solving Conditional Nonlinear Optimal Perturbation to Identify Optimal Precursors of North Atlantic Oscillation. 2 indexed citations

15.

Mu, Bin, et al.. (2017). An Efficient Approach Based on the Gradient Definition for Solving Conditional Nonlinear Optimal Perturbation. Mathematical Problems in Engineering. 2017(1). 4 indexed citations

16.

Yuan, Shijin, et al.. (2016). PCAFP for Solving CNOP in Double-Gyre Variation and Its Parallelization on Clusters. 2. 284–291. 4 indexed citations

17.

Chen, Fuxin, Shijin Yuan, & Bin Mu. (2015). User-QoS-Based Web Service Clustering for QoS Prediction. 583–590. 19 indexed citations

18.

Mu, Bin, et al.. (2015). Data-intensive Service Mashup based on Game theory and Hybrid Fireworks Optimization Algorithm in the Cloud. 39(4). 1 indexed citations

19.

Mu, Bin & Shijin Yuan. (2010). A method for evaluating initial trust value of direct trust and recommender trust. 24. V2–185. 7 indexed citations

20.

Mu, Bin. (2005). The Application of Water Level Intelligent Balanced Control System of Deaerator and Condenser. 3 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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