Pu Gong

1.5k citations
40 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
Financial Risk and Volatility Modeling (7 papers)Housing Market and Economics (6 papers)Financial Markets and Investment Strategies (6 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaACS Nano

In The Last Decade

Pu Gong

38 papers receiving 1.1k citations

Hit Papers

Electrical control of second-harmonic generation in a WSe...20152026201820222015100200300400

Peers

Pu Gong
Comparison fields: 5 of 77
  • Materials Chemistry 578
  • Electrical and Electronic Engineering 508
  • Atomic and Molecular Physics, and Optics 305
  • Economics and Econometrics 199
  • Biomedical Engineering 157
Replace Stephan Fahr with:
Stephan Fahr Germany
Gülin Vardar Türkiye
Qu Yang China
Andreas Kern Germany
Haizhou Huang China
Adam Bennett United Kingdom
Chong Liu China
Tong Zhao United States
Pu Gong relative to Stephan Fahr Germany Stephan Fahr's profile →
Citations per field
00.5×4.5×
Stephan Fahr · 1×
Citations per year

Countries citing papers authored by Pu Gong

Since Specialization
Citations

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

Fields of papers citing papers by Pu Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Gong. A scholar is included among the top collaborators of Pu Gong 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 Pu Gong. Pu Gong 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 1
2 1
3 0
4 45
5 12
6 1
7 37
8 1
9 35
10 2
11 2
12 1
13 7
14 25
15 4
16
Electrical control of second-harmonic generation in a WSe2 monolayer transistorbreakdown →
424
17 7
18 270
19 4
20 25

About Pu Gong

Pu Gong is a scholar working on Finance, Economics and Econometrics and Numerical Analysis, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (7 papers), Housing Market and Economics (6 papers) and Financial Markets and Investment Strategies (6 papers). The work is most often cited by research in Finance (144 citations), Materials Chemistry (578 citations) and Atomic and Molecular Physics, and Optics (305 citations). Pu Gong has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Wang Yao, Xiaodong Xu, Hongyi Yu, Gui‐Bin Liu, Kyle L. Seyler, Aaron M. Jones, Jiaqiang Yan, David Mandrus, Pasqual Rivera and John R. Schaibley. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

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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