Yaohao Peng

675 citations
21 papers · 455 indexed · h-index 7
Topics
Stock Market Forecasting Methods (8 papers)Complex Systems and Time Series Analysis (6 papers)Financial Markets and Investment Strategies (4 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsChaos Solitons & Fractals
Partner nations
Brazil

In The Last Decade

Yaohao Peng

19 papers receiving 439 citations

Peers

Yaohao Peng
Comparison fields: 5 of 95
  • Economics and Econometrics 199
  • Management Science and Operations Research 195
  • Information Systems 114
  • Finance 105
  • Artificial Intelligence 82
Replace Bruno Miranda Henrique with:
Bruno Miranda Henrique Brazil
Zebin Yang United States
Erkam Güreşen Türkiye
Sheikh Mohammad Idrees Norway
Julián Andrada Félix Spain
Weiyi Liu China
Monika Mangla India
S. Al Wadi Jordan
Futian Weng China
J. H. Witte United Kingdom
Yaohao Peng relative to Bruno Miranda Henrique Brazil Bruno Miranda Henrique's profile →
Citations per field
00.5×12×
Bruno Miranda Henrique · 1×
Citations per year

Countries citing papers authored by Yaohao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yaohao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaohao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yaohao Peng. A scholar is included among the top collaborators of Yaohao Peng 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 Yaohao Peng. Yaohao Peng 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 6
2 2
3 3
4 14
5 3
6 45
7 0
8 40
9 1
10 1
11 88
12 0
13 2
14
Na era das máquinas, o emprego é de quem? : Estimação da probabilidade de automação de ocupações no Brasil
5
15 16
16 6
17 2
18 21
19
O Desafio do pareamento de grandes bases de dados : mapeamento de métodos de record linkage probabilístico e diagnóstico de sua viabilidade empírica
1
20 193

About Yaohao Peng

Yaohao Peng is a scholar working on Management Science and Operations Research, Finance and Economics and Econometrics, having authored 21 papers that have together received 455 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (8 papers), Complex Systems and Time Series Analysis (6 papers) and Financial Markets and Investment Strategies (4 papers). The work is most often cited by research in Management Science and Operations Research (195 citations), Finance (105 citations) and Economics and Econometrics (199 citations). Yaohao Peng has collaborated with scholars based in Brazil. Frequent co-authors include Pedro Henrique Melo Albuquerque, Herbert Kimura and Eduardo Yoshio Nakano. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Chaos Solitons & Fractals.

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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