Wei Shang

1.5k total citations
66 papers, 944 citations indexed

About

Wei Shang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Wei Shang has authored 66 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 13 papers in Economics and Econometrics. Recurrent topics in Wei Shang's work include Stock Market Forecasting Methods (8 papers), Advanced Image Processing Techniques (6 papers) and Speech Recognition and Synthesis (5 papers). Wei Shang is often cited by papers focused on Stock Market Forecasting Methods (8 papers), Advanced Image Processing Techniques (6 papers) and Speech Recognition and Synthesis (5 papers). Wei Shang collaborates with scholars based in China, Hong Kong and Canada. Wei Shang's co-authors include Shouyang Wang, Xuerong Li, M. Stevenson, Melody Y. Kiang, Ming Yang, Dongwei Ren, Wangmeng Zuo, Hualong Yang, Helen S. Du and Deyu Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of The Electrochemical Society.

In The Last Decade

Wei Shang

57 papers receiving 916 citations

Peers

Wei Shang
Comparison fields: 5 of 138
  • Economics and Econometrics 197
  • Artificial Intelligence 159
  • Computer Vision and Pattern Recognition 157
  • Management Science and Operations Research 145
  • Electrical and Electronic Engineering 106
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Citations per field, relative to Wei Shang
Wei Shang · 1×
Citations per year, relative to Wei Shang
Wei Shang · 1×

Countries citing papers authored by Wei Shang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Shang. A scholar is included among the top collaborators of Wei 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 Wei Shang. Wei Shang 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
# Work Indexed citations
1 2
2 0
3 1
4 10
5 3
6 0
7 2
8 4
9 5
10 3
11 5
12 29
13 1
14 0
15 75
16 1
17
Influencing Lenders’ Repeat Investment Intention in P2P Lending Platforms in China through Signaling
7
18 98
19
Incorporation of Social Media Data into Macroeconomic Forecast Systems: A Mixed Frequency Modelling Approach
0
20
Reserve Price Reporting Mechanisms for Negotiation Support Systems
1

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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