Wei Bao

1.5k citations
25 papers · 922 indexed · 1 hit paper · h-index 9
Topics
Advanced Neural Network Applications (4 papers)Smart Grid and Power Systems (2 papers)Power Systems and Technologies (2 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Wei Bao

22 papers receiving 888 citations

Hit Papers

A deep learning framework for financial time series using...20172026202020232017200400600

Peers

Wei Bao
Comparison fields: 5 of 118
  • Management Science and Operations Research 498
  • Electrical and Electronic Engineering 270
  • Economics and Econometrics 195
  • Finance 153
  • Artificial Intelligence 153
Replace Babita Majhi with:
Babita Majhi India
Bryan Lim Australia
Achilleas Zapranis Greece
Emmanuel Pintelas Greece
Wenjie Lu China
Ely Salwana Malaysia
Tao Xiong China
Lele Qin China
Yanfei Kang China
Alessandro Sebastian Podda Italy
Wei Bao relative to Babita Majhi India Babita Majhi's profile →
Citations per field
00.5×1.5×2.4×
Babita Majhi · 1×
Citations per year

Countries citing papers authored by Wei Bao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Bao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 1
5 0
6 28
7 2
8 6
9 1
10 32
11 12
12 42
13
A deep learning framework for financial time series using stacked autoencoders and long-short term memorybreakdown →
675
14 48
15 7
16 2
17 1
18 28
19
Researches on information framework of Smart Distribution Grid
8
20
MULTIAGENT DYNAMIC COORDINATION FOR COLLABORATIVE DESIGN
1

About Wei Bao

Wei Bao is a scholar working on Computer Vision and Pattern Recognition, Software and Management Science and Operations Research, having authored 25 papers that have together received 922 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Smart Grid and Power Systems (2 papers) and Power Systems and Technologies (2 papers). The work is most often cited by research in Management Science and Operations Research (498 citations), Finance (153 citations) and Signal Processing (125 citations). Wei Bao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yulei Rao, Jun Yue, Meiyu Huang, Xueshuang Xiang, Yao Xu, Ya-Qin Zhang, Zhangying Ye, Ying Liu, Jian Zhao and Dong Yuan. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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