Pinghan Liang

708 citations
32 papers · 485 · h-index 10

Impact in

Papers in

Pinghan Liang

27 papers receiving 471 citations

Peers

Pinghan Liang
Comparison fields: 5 of 73
  • Accounting 101
  • Global and Planetary Change 182
  • Management, Monitoring, Policy and Law 75
  • Ecological Modeling 24
  • Economics and Econometrics 142
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Anne Sergeant United States
Charles Figuières France
Juliano Assunção Brazil
Ran Zhang China
Stanley D. Smith United States
Ivan R. Scales United Kingdom
Gustavo Canavire‐Bacarreza United States
Sónia Costa Portugal
José María Da Rocha Spain
Timothy Cadman Australia
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Citations per field
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Citations per year

Countries citing papers authored by Pinghan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Pinghan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pinghan Liang, 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 Pinghan Liang Line = papers co-authored together Pinghan Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015124
2 201980
3 202169
4 202062
5 202129
6 201620
7 202318
8 201912
9 201911
10 202111
11 20207
12 20205
13 20135
14 20134
15 20214
16 20204
17
Less Cash, Less Theft? Evidence from Fintech Development in the People’s Republic of China
20213
18 20233
19 20253
20 20243

About Pinghan Liang

Pinghan Liang is a scholar working on Sociology and Political Science, Economics and Econometrics, Safety Research, Political Science and International Relations and Accounting, having authored 32 papers that have together received 485 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (8 papers), China's Socioeconomic Reforms and Governance (6 papers), Culture, Economy, and Development Studies (5 papers), Auction Theory and Applications (4 papers), Fiscal Policy and Economic Growth (4 papers), Game Theory and Applications (4 papers), Local Government Finance and Decentralization (4 papers) and Microfinance and Financial Inclusion (3 papers). The work is most often cited by research in Accounting (101 citations), Global and Planetary Change (182 citations), Management, Monitoring, Policy and Law (75 citations), Ecological Modeling (24 citations) and Economics and Econometrics (142 citations). Pinghan Liang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qinli Xiong, Yang Xiao, Kaiwen Pan, Chenggang Liu, Lin Zhang, Nan Gao, Lingjuan Li, Nan Gao, Qiang Xiao and Marwa Waseem A. Halmy. Their work appears in journals such as China Economic Review, Games and Economic Behavior, Review of Economic Design, Cities and Ecological Indicators.

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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