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How research funding shapes academic outputs: Evidence from communication research paper characteristics and thematic trends in China

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Aug 22, 2025

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Figure 1.

Methodological workflow.
Methodological workflow.

Figure 2.

Annual trends in funded, non-funded, and total communication papers.
Annual trends in funded, non-funded, and total communication papers.

Figure 3.

Power-Law distribution of the number of funding grants per paper.
Power-Law distribution of the number of funding grants per paper.

Figure 4.

Comparison of academic impact between single-funded and multi-funded papers.
Comparison of academic impact between single-funded and multi-funded papers.

Figure 5.

Disciplinary co-occurrence networks of funded (left) and non-funded (right) papers.
Disciplinary co-occurrence networks of funded (left) and non-funded (right) papers.

Figure 6.

Clustering subgroup structures of funded (top) and non-funded (bottom) papers.
Clustering subgroup structures of funded (top) and non-funded (bottom) papers.

Figure 7.

Strategic thematic mapping of funded (left) and non-funded (right) papers based on MDS.
Strategic thematic mapping of funded (left) and non-funded (right) papers based on MDS.

Summary of key findings on research funding patterns and impacts_

Main Findings Details
Shifts in Funding Patterns and International Collaboration Initially reliant on international or HKMT funding, later dominated by national funding. International or HKMT funded papers have higher international impact.
Uneven Distribution of Funding Resources Funded papers follow a power-law distribution, with most receiving minimal support and few benefiting from multiple sources.
Multi-Funding as an Impact Driver Multi-funded papers outperform single-funded papers across all impact metrics. Diverse funding collaborations enhance visibility and academic strength.
Thematic Divergence and Innovation Funded research focuses on innovation and emerging technologies; non-funded papers apply classical theories.
Methodological Sophistication and Disciplinary Advancement Funded papers employ advanced analytical methods, reflecting a shift toward data-driven scholarship; non-funded papers have less methodological innovation.

Statistics on research funding categories for communication papers in China_

Year National Funds HKMT Funds International Funds Provincial and Municipal Funds University Funds Institutional Funds Other Funds
2008 0 3 2 0 0 0 0
2009 2 0 3 1 0 0 0
2010 0 1 0 0 0 0 0
2011 3 0 9 1 1 0 0
2012 12 3 4 2 0 0 0
2013 1 2 0 0 0 0 0
2014 11 4 4 0 0 0 1
2015 40 18 12 7 8 0 1
2016 66 22 26 18 17 6 8
2017 53 57 34 18 12 4 4
2018 91 44 32 28 16 0 5
2019 91 32 20 40 20 2 7
2020 121 42 34 33 22 1 7
Total 491 228 180 148 96 13 33

Analysis of research funding on paper impact_

Research Funding Categories Paper Number Average Citation Frequency Zero Citation Rate (%) High Citation Rate (%) Average Journal Impact Factor
National Funds 292 9.3 6.8 23 2.7
HKMT Funds 180 10.1 5.6 27.2 3.2
International Funds 107 11.2 6.5 30.8 3.4
Provincial and Municipal Funds 105 7.2 10.5 16.2 2.4
University Funds 86 6.9 10.5 18.6 2.4
Institutional Funds 9 9 0 22.2 3.4
Other Funds 31 8.5 9.7 12.9 2.0
Non-funded 1,162 14.8 5.5 28.3 2.9

Comparative thematic analysis of funded vs_ non-funded research_

Dimension Funded Papers Non-funded Papers
Core Themes Digital transformation, crisis management, big data analysis Classical theories, agenda-setting, uses and gratifications
Methodological Innovation High (machine learning, network analysis, advanced text mining) Moderate to Low (traditional qualitative and quantitative)
Interdisciplinary Integration Extensive interdisciplinary collaborations Limited interdisciplinary integration
Theoretical Orientation Innovative and exploratory Confirmatory and theory-driven
Key Thematic Examples Digital divide, discourse analysis, social media platforms Political communication, third-person effect, media discourse

Density matrix of keyword clustering modules in funded papers_

M1 M2 M3 M4 M5 M6 M7 M8 M9 M0 M1 M12 M13 M14 M15 M16
M1 0.8 0.08 0.1 0 1.025 0.267 0.585 0.2 0.133 0 0 0 0 0 0 0
M2 0.08 0.1 0.1 0 0.325 0.067 0 0.067 0 0 0 0 0 0 0.05 0
M3 0.1 0.1 0 0 0.313 0 0.192 0 0 0 0 0 0 0.25 0 0
M4 0 0 0 0.125 0 0 0.077 0 0 0 0 0 0 0 0 0
M5 1.025 0.325 0.313 0.125 1.714 0.25 0.096 0.042 0.125 0 0 0 0 0.125 0.031 0
M6 0.267 0.067 0 0 0.25 0.333 0.026 0 0.222 0.222 0 0 0 0 0.083 0
M7 0.585 0 0.192 0.077 0.096 0.026 0.051 0.077 0 0 0 0 0 0 0.038 0
M8 0.2 0.067 0 0 0.042 0 0.077 0.667 0 0 0 0.333 0 0 0.083 0
M9 0.133 0 0 0 0.125 0.222 0 0 2.333 0.444 0 0.167 0 0 0 0
M10 0 0 0 0 0 0.222 0 0 0.444 0.667 0.333 0.167 0.333 0 0 0
M11 0 0 0 0 0 0 0 0 0 0.333 0 0 0 0 0 0
M12 0 0 0 0 0 0 0 0.333 0.167 0.167 0 1 0 0 0 0
M13 0 0 0 0 0 0 0 0 0 0.333 0 0 1 0.5 0 0
M14 0 0 0.25 0 0.125 0 0 0 0 0 0 0 0.5 0 0.125 0
M15 0 0.05 0 0 0.031 0.083 0.038 0.083 0 0 0 0 0 0.125 0 0
M16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Density matrix of keyword clustering modules in non-funded papers_

M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12 M13 M14 M15 M16
M1 3 1.417 0.9 0.25 2.417 1.083 0.75 0.5 0 0 0 0 0 0 0 0
M2 1.417 1.2 0.167 0 0.201 0.222 0 0.083 0 0.167 0 0 0.167 0 0.167 0
M3 0.9 0.167 0.3 0.3 0.167 0.033 0 0.1 0 0 0 0 0 0 0 0.1
M4 0.25 0 0.3 0 0.125 0 0 0.25 0 0 0.25 0 0 0 0 0
M5 2.417 0.201 0.167 0.125 0.185 0.146 0.063 0.146 0.021 0.042 0.083 0.083 0 0.042 0.042 0.063
M6 1.083 0.222 0.033 0 0.146 0.733 0 0.083 0 0 0 0.167 0.333 0.083 0.556 0.167
M7 0.75 0 0 0 0.063 0 2 0 2.75 0 0 0 0 0 0 0
M8 0.5 0.083 0.1 0.25 0.146 0.083 0 0 0.25 0 1 0 0.25 0 0 0
M9 0 0 0 0 0.021 0 2.75 0.25 0 0 0.75 0.5 0 0 0 0
M10 0 0.167 0 0 0.042 0 0 0 0 0 0 0.5 0 0 0 0
M11 0 0 0 0.25 0.083 0 0 1 0.75 0 1 0 0 0 0 0
M12 0 0 0 0 0.083 0.167 0 0 0.5 0.5 0 0 0 0 0 0
M13 0 0.167 0 0 0 0.333 0 0.25 0 0 0 0 0 1.25 0.833 0
M14 0 0 0 0 0.042 0.083 0 0 0 0 0 0 1.25 1 0.167 0
M15 0 0.167 0 0 0.042 0.556 0 0 0 0 0 0 0.833 0.167 1.333 0.167
M16 0 0 0.1 0 0.063 0.167 0 0 0 0 0 0 0 0 0.167 0

Research funding classification_

Research Funding Category Description
National Funds National Natural Science Foundation of China, National Social Science Foundation of China, Ministry of Education Funds, Ministry of Science and Technology Funds, Central University Funds for Basic Research, China Postdoctoral Science Foundation, etc.
HKMT Funds Funds established by institutions and universities in Hong Kong SAR, Macao SAR, and Taiwan region of China.
International Funds Funds established by international universities, institutions, or enterprises, including the Simons Foundation, the Funda Foundation, and the South Pacific Research Foundation, etc.
Provincial and Municipal Funds Natural Science Funds of provinces and municipalities, Social Science Funds of provinces and municipalities, Shanghai Pujiang Program, Provincial Key Disciplines Program, Beijing Changping Scholar Program, etc.
University Funds Funds established by mainland-based Chinese universities.
Institutional Funds Funds established by research institutes for basic research, such as the National DiabetesResearch Institute and National Nephrology Research Institute, National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, CAS (Chinese Academy of Sciences) Foundation Projects, etc.
Other Funds Funds from the National Scholarship Council, Open Technology Funds, National Language Committee Funds, Thirteenth Five-Year Plan, Sino-American Emerging and Re-emerging Infectious Diseases Cooperation Program, Joint Funds, Chinese Legal Research Foundation, Tang Prize for Young Scholars, Corporate Funds, etc.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining