Wei Shang

1.5k citations
66 papers · 944 indexed · h-index 14
Topics
Stock Market Forecasting Methods (8 papers)Advanced Image Processing Techniques (6 papers)Speech Recognition and Synthesis (5 papers)
Partner nations
ChinaHong KongCanada

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
Replace Daniel B. Neill with:
Daniel B. Neill United States
Tanvir Ahmed Bangladesh
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Oludele Awodele Nigeria
Cristina Soguero-Ruíz Spain
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Ting Liu China
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Wei Shang relative to Daniel B. Neill United States Daniel B. Neill's profile →
Citations per field
00.5×9.6×
Daniel B. Neill · 1×
Citations per year

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
#WorkIndexed 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

About Wei Shang

Wei Shang is a scholar working on Management Science and Operations Research, Signal Processing and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 944 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (8 papers), Advanced Image Processing Techniques (6 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Toxicology (42 citations), Management Science and Operations Research (145 citations) and Molecular Medicine (42 citations). Wei Shang has collaborated with scholars based in China, Hong Kong and Canada. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of The Electrochemical Society.

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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