Bixuan Gao

904 total citations · 1 hit paper
18 papers, 670 citations indexed

About

Bixuan Gao is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Bixuan Gao has authored 18 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 6 papers in Environmental Engineering. Recurrent topics in Bixuan Gao's work include Energy Load and Power Forecasting (8 papers), Solar Radiation and Photovoltaics (7 papers) and Air Quality Monitoring and Forecasting (4 papers). Bixuan Gao is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Solar Radiation and Photovoltaics (7 papers) and Air Quality Monitoring and Forecasting (4 papers). Bixuan Gao collaborates with scholars based in China, United Kingdom and United States. Bixuan Gao's co-authors include Yonghang Tai, Xiaoqiao Huang, Junsheng Shi, Jun Zhang, Zaiqing Chen, Wu‐Ming Liu, Qiong Li, Jun Zhang, Zhengtao Yu and Victor Chang and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and IEEE Access.

In The Last Decade

Bixuan Gao

17 papers receiving 655 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

2020 275 citations Bixuan Gao, Xiaoqiao Huang et al. Renewable Energy profile →

Peers

Countries citing papers authored by Bixuan Gao

Since Specialization

Citations

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

Fields of papers citing papers by Bixuan Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bixuan Gao

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	An interpretable privacy-preserving real-time carbon emission estimation approach for heterogeneous industrial enterprises 2025 ·Engineering Applications of Artificial Intelligence ·(unknown), (unknown), Bixuan Gao, (unknown), (unknown), (unknown)	0
2	An interpretable horizontal federated deep learning approach to improve short-term solar irradiance forecasting 2024 ·Journal of Cleaner Production ·(unknown), Bixuan Gao, Xiaoqiao Huang, Zaiqing Chen, (unknown), Yonghang Tai	15
3	Monitoring high-carbon industry enterprise emission in carbon market: A multi-trusted approach using externally available big data 2024 ·Journal of Cleaner Production ·Bixuan Gao, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	16
4	A method for analyzing the irreparability of diverse electricity consumption data based on improved data generation technology 2024 ·Applied Energy ·(unknown), Xiangyu Kong, Liang Zhao, (unknown), Bixuan Gao	4
5	Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach 2023 ·Applied Energy ·Bixuan Gao, Xiangyu Kong, Shangze Li, (unknown), Xiyuan Zhang, Ziyu Liu, (unknown)	18
6	Analysis of Incremental Carbon Emission Flow Intensity in Power System Considering Transmission Loss 2023 ·(unknown), Xiangyu Kong, Shangze Li, (unknown), Shuai Luo, Bixuan Gao	1
7	A Near-real-time Estimation Method for Carbon Emissions from High-emission Industries Based on Electricity-Energy-Carbon Linkage Model 2023 ·Shangze Li, Xiangyu Kong, Bixuan Gao, (unknown), (unknown)	1
8	A High-Frequency Monitoring Method for Urban Carbon Emissions Based on Vertical Federated Deep Learning and Multi-Source Heterogeneous Data Fusion Methods 2022 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Bixuan Gao	1
9	Optimal Operation of Carbon Capture Power Plants Considering Carbon Trading under Low Carbon Economy 2022 ·2022 25th International Conference on Electrical Machines and Systems (ICEMS) ·Ziyu Liu, (unknown), Shangze Li, Bixuan Gao, (unknown), (unknown)	1
10	DSM pricing method based on A3C and LSTM under cloud-edge environment 2022 ·Applied Energy ·(unknown), Xiangyu Kong, Jianzhong Wu, Bixuan Gao, Ke Chen, Ning Lü	14
11	Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access 2021 ·IEEE Internet of Things Journal ·Yonghang Tai, Bixuan Gao, Qiong Li, Zhengtao Yu, Chunsheng Zhu, Victor Chang	51
12	Hybrid deep neural model for hourly solar irradiance forecasting 2021 ·Renewable Energy ·Xiaoqiao Huang, Qiong Li, Yonghang Tai, Zaiqing Chen, Jun Zhang, Junsheng Shi, Bixuan Gao, Wu‐Ming Liu	142
13	Neural Model Stealing Attack to Smart Mobile Device on Intelligent Medical Platform 2020 ·Wireless Communications and Mobile Computing ·(unknown), Guanjun Lin, Bixuan Gao, (unknown), Yonghang Tai, Jun Zhang	6
14	Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks breakdown → 2020 ·Renewable Energy ·Bixuan Gao, Xiaoqiao Huang, Junsheng Shi, Yonghang Tai, Jun Zhang	275
15	A Comparison of Hour-Ahead Solar Irradiance Forecasting Models Based on LSTM Network 2020 ·Mathematical Problems in Engineering ·Xiaoqiao Huang, Chao Zhang, (unknown), Yonghang Tai, Bixuan Gao, Junsheng Shi	29
16	Forecasting Hourly Solar Irradiance Using Hybrid Wavelet Transformation and Elman Model in Smart Grid 2019 ·IEEE Access ·Xiaoqiao Huang, Junsheng Shi, Bixuan Gao, Yonghang Tai, Zaiqing Chen, Jun Zhang	58
17	Research on 24-h forecasting of solar irradiance based on multilayer perceptron model 2019 ·Bixuan Gao, Xiaoqiao Huang, Junsheng Shi	1
18	Predicting day-ahead solar irradiance through gated recurrent unit using weather forecasting data 2019 ·Journal of Renewable and Sustainable Energy ·Bixuan Gao, Xiaoqiao Huang, Junsheng Shi, Yonghang Tai, (unknown)	37

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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