Pu Chen

584 citations
29 papers · 392 · h-index 9

Impact in

Papers in

Pu Chen

22 papers receiving 378 citations

Peers

Pu Chen
Comparison fields: 5 of 79
  • Nutrition and Dietetics 107
  • Endocrinology, Diabetes and Metabolism 70
  • Management Information Systems 27
  • Renewable Energy, Sustainability and the Environment 47
  • Automotive Engineering 34
Replace Keyong Zhang with:
Keyong Zhang China
Sai Wang China
Xiafei Chen China
Wenpu Wang China
Zirui Chen China
Stephen S. George United States
Prabhakar Yadav Australia
Zuwei Yu United States
Pu Chen relative to Keyong Zhang China Keyong Zhang's profile →
Citations per field
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Keyong Zhang · 1×
Citations per year

Countries citing papers authored by Pu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pu Chen Line = papers co-authored together Pu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015185
2 201773
3 201731
4 201522
5 201915
6 20078
7 20128
8 20158
9 20238
10 20226
11 20196
12 20235
13
Stock Price Reaction to Announcements of Capital Structure Changes - From an Industry Leverage Ratio Perspective
20093
14 20172
15 20152
16 20072
17 20192
18 20152
19 20141
20 20251

About Pu Chen

Pu Chen is a scholar working on Economics and Econometrics, Accounting, Strategy and Management, Marketing and Finance, having authored 29 papers that have together received 392 indexed citations. Recurring topics across this work include Global trade and economics (3 papers), Corporate Finance and Governance (3 papers), Agricultural risk and resilience (2 papers), Risk and Safety Analysis (2 papers), Fiscal Policy and Economic Growth (2 papers), Housing Market and Economics (2 papers), Firm Innovation and Growth (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Nutrition and Dietetics (107 citations), Endocrinology, Diabetes and Metabolism (70 citations), Management Information Systems (27 citations), Renewable Energy, Sustainability and the Environment (47 citations) and Automotive Engineering (34 citations). Pu Chen has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Xiaomin Li, Xingwu Wang, Hua Li, Zhenan Zhang, Fei Qin, Xiaohong He, Peng Hou, Bo Cui, Lutz Schomburg and Hongjun Lv. Their work appears in journals such as Journal of Economics, Case Studies in Thermal Engineering, Economic Modelling, CAAI Transactions on Intelligence Technology and Applied Sciences.

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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