Duo Shang

937 citations
11 papers · 780 indexed · 1 hit paper · h-index 7
Topics
Electric Vehicles and Infrastructure (2 papers)Smart Grid Energy Management (2 papers)Energy Load and Power Forecasting (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Duo Shang

10 papers receiving 760 citations

Hit Papers

Optimal parameters selection for BP neural network based ...20132026201720212013100200300400

Peers

Duo Shang
Comparison fields: 5 of 115
  • Electrical and Electronic Engineering 411
  • Artificial Intelligence 158
  • Management Science and Operations Research 146
  • Control and Systems Engineering 80
  • Environmental Engineering 78
Replace Hongze Li with:
Hongze Li China
Haipeng Zhang China
Sadik Kucuksari United States
Mohamed Massaoudi Qatar
Hongmin Li China
Catalin‐Felix Covrig Netherlands
Feifei He China
Lalit Mohan Saini India
S. Hr. Aghay Kaboli Malaysia
Kun Huang China
Duo Shang relative to Hongze Li China Hongze Li's profile →
Citations per field
00.5×1.7×
Hongze Li · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 1
4 36
5 10
6 13
7 26
8
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecastingbreakdown →
451
9 5
10 73
11 164

About Duo Shang

Duo Shang is a scholar working on Otorhinolaryngology, Transportation and Oral Surgery, having authored 11 papers that have together received 780 indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (2 papers), Smart Grid Energy Management (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Management Science and Operations Research (146 citations), Energy Engineering and Power Technology (28 citations) and Electrical and Electronic Engineering (411 citations). Duo Shang has collaborated with scholars based in China and United States. Frequent co-authors include Jianzhou Wang, Ning An, Bin Hu, Lian Li, Chao Ren, Weigang Zhao, Erdong Zhao, Jie Cheng, Yunong Wu and Lei Ding. Their work appears in journals such as Energy Policy, Energy and Knowledge-Based Systems.

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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