Can Chen

63 papers receiving 632 citations

Peers

Can Chen
Comparison fields: 5 of 59
  • Finance 67
  • Public Administration 20
  • Political Science and International Relations 76
  • Economics and Econometrics 58
  • Transportation 12
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Henry Thompson United States
Mihaela Onofrei Romania
Andrew Bowman United Kingdom
Donald J. Lacombe United States
Carmen Valentina Rădulescu Romania
Ramona Vasilas Pirvu Romania
Paulo Furquim de Azevedo Brazil
Gulasekaran Rajaguru Australia
Wouter P. C. van Gent Netherlands
Gilles Pinson France
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Citations per field
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Henry Thompson · 1×
Citations per year

Countries citing papers authored by Can Chen

Since Specialization
Citations

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

Fields of papers citing papers by Can Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 201966
3 202142
4 202137
5 200835
6 201935
7 202125
8 202322
9 201821
10 201519
11 202017
12 201716
13 201815
14 202415
15 201614
16
Infrastructure Financing: A Guide for Local Government Managers
201714
17 201212
18 201712
19 201812
20 202211

About Can Chen

Can Chen is a scholar working on Political Science and International Relations, Public Administration, Management Science and Operations Research, Economics and Econometrics and Renewable Energy, Sustainability and the Environment, having authored 67 papers that have together received 654 indexed citations. Recurring topics across this work include Local Government Finance and Decentralization (7 papers), Corruption and Economic Development (4 papers), Solar-Powered Water Purification Methods (3 papers), Public Policy and Administration Research (3 papers), Fiscal Policies and Political Economy (3 papers), Efficiency Analysis Using DEA (2 papers), Fiscal Policy and Economic Growth (2 papers) and Public-Private Partnership Projects (2 papers). The work is most often cited by research in Finance (67 citations), Public Administration (20 citations), Political Science and International Relations (76 citations), Economics and Econometrics (58 citations) and Transportation (12 citations). Can Chen has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Milena I. Neshkova, Sukumar Ganapati, Yuan Shao, Jiang Wang, Grace Xing Hu, John R. Bartle, Yu Shi, Chengri Ding, Qing Miao and Elaine Yi Lu. Their work appears in journals such as Public Performance & Management Review, Journal of Public Budgeting Accounting & Financial Management, The American Review of Public Administration, Public Management Review and International Review of Administrative 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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