Duo Shang

937 total citations · 1 hit paper
11 papers, 780 citations indexed

About

Duo Shang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Duo Shang has authored 11 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Duo Shang's work include Electric Vehicles and Infrastructure (2 papers), Smart Grid Energy Management (2 papers) and Energy Load and Power Forecasting (2 papers). Duo Shang is often cited by papers focused on Electric Vehicles and Infrastructure (2 papers), Smart Grid Energy Management (2 papers) and Energy Load and Power Forecasting (2 papers). Duo Shang collaborates with scholars based in China and United States. Duo Shang's co-authors include Jianzhou Wang, Ning An, Bin Hu, Lian Li, Chao Ren, Weigang Zhao, Erdong Zhao, Jie Cheng, Yunong Wu and Lei Ding and has published in prestigious journals such as Energy Policy, Energy and Knowledge-Based Systems.

In The Last Decade

Duo Shang

10 papers receiving 760 citations

Hit Papers

Optimal parameters selection for BP neural network based ... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Duo Shang
Hongze Li China
Duo Shang
Citations per year, relative to Duo Shang Duo Shang (= 1×) peers Hongze Li

Countries citing papers authored by Duo Shang

Since Specialization
Citations

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

Fields of papers citing papers by Duo Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duo Shang

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

All Works

11 of 11 papers shown
1.
Shang, Duo, et al.. (2025). Encoder-decoder with bilateral gated fusion for multimodal relation extraction. Multimedia Systems. 31(3). 1 indexed citations
4.
Yang, Peng, et al.. (2023). Research on Improved YOLOv5 for Low-Light Environment Object Detection. Electronics. 12(14). 3089–3089. 36 indexed citations
5.
Shang, Duo, et al.. (2022). The Effects of Nonstate Shareholder on the Excess Perquisites: Evidence from Chinese Mixed Ownership Reform. Emerging Markets Finance and Trade. 58(14). 4001–4013. 10 indexed citations
6.
Shang, Duo. (2017). Pricing of emergency dynamic microgrid power service for distribution resilience enhancement. Energy Policy. 111. 321–335. 13 indexed citations
7.
Shang, Duo, et al.. (2016). Electricity-price arbitrage with plug-in hybrid electric vehicle: Gain or loss?. Energy Policy. 95. 402–410. 26 indexed citations
8.
Ren, Chao, Ning An, Jianzhou Wang, et al.. (2013). Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting. Knowledge-Based Systems. 56. 226–239. 451 indexed citations breakdown →
9.
Xie, Ming, et al.. (2013). A framework for electric vehicle charging-point network optimization. IBM Journal of Research and Development. 57(1/2). 15:1–15:9. 5 indexed citations
11.
An, Ning, Weigang Zhao, Jianzhou Wang, Duo Shang, & Erdong Zhao. (2012). Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting. Energy. 49. 279–288. 164 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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