Chi‐Chung Chen

4.5k total citations
82 papers, 3.2k citations indexed

About

Chi‐Chung Chen is a scholar working on Economics and Econometrics, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Chi‐Chung Chen has authored 82 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Economics and Econometrics, 10 papers in Artificial Intelligence and 10 papers in Environmental Engineering. Recurrent topics in Chi‐Chung Chen's work include Energy, Environment, and Transportation Policies (10 papers), Energy, Environment, Economic Growth (9 papers) and Environmental Impact and Sustainability (9 papers). Chi‐Chung Chen is often cited by papers focused on Energy, Environment, and Transportation Policies (10 papers), Energy, Environment, Economic Growth (9 papers) and Environmental Impact and Sustainability (9 papers). Chi‐Chung Chen collaborates with scholars based in Taiwan, United States and Netherlands. Chi‐Chung Chen's co-authors include Hsiao-I Kuo, Bruce A. McCarl, Sheng-Tung Chen, Ping‐Yu Chen, Ching‐Cheng Chang, Wei‐Chun Tseng, David Schimmelpfennig, Shu‐Yi Liao, Kung Yao and Chao‐Yuan Yeh and has published in prestigious journals such as Nature Communications, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

Chi‐Chung Chen

81 papers receiving 3.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chi‐Chung Chen Taiwan 29 1.5k 804 457 387 380 82 3.2k
Bing Wang China 35 1.1k 0.7× 582 0.7× 241 0.5× 392 1.0× 746 2.0× 145 4.0k
Huaming Song China 29 1.4k 0.9× 742 0.9× 233 0.5× 347 0.9× 463 1.2× 118 3.8k
Ehsan Elahi China 29 1.2k 0.8× 192 0.2× 271 0.6× 272 0.7× 481 1.3× 51 3.1k
Yang Yu China 29 887 0.6× 375 0.5× 198 0.4× 281 0.7× 625 1.6× 241 3.5k
Julie Rozenberg United States 25 1.0k 0.7× 430 0.5× 951 2.1× 210 0.5× 348 0.9× 59 3.7k
Jyoti K. Parikh India 31 1.0k 0.7× 1.0k 1.3× 180 0.4× 904 2.3× 574 1.5× 115 3.4k
Chris Hope United Kingdom 31 1.9k 1.2× 1.1k 1.4× 399 0.9× 231 0.6× 527 1.4× 100 3.9k
Matthias Rüth United States 34 913 0.6× 833 1.0× 509 1.1× 148 0.4× 1.1k 2.9× 128 4.2k
Axel Michaelowa Switzerland 33 2.1k 1.4× 992 1.2× 504 1.1× 352 0.9× 704 1.9× 237 3.7k
José A. F. Machado Portugal 15 2.6k 1.7× 587 0.7× 472 1.0× 274 0.7× 279 0.7× 28 4.1k

Countries citing papers authored by Chi‐Chung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Chung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Chung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Chung Chen. A scholar is included among the top collaborators of Chi‐Chung Chen 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 Chi‐Chung Chen. Chi‐Chung Chen 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
1.
Chen, Chi‐Chung, et al.. (2025). Climate change impacts on crop yields across temperature rise thresholds and climate zones. Scientific Reports. 15(1). 23424–23424. 8 indexed citations
2.
Chen, Chi‐Chung, et al.. (2023). Two‐tiered deep‐learning‐based model for histologic diagnosis of Helicobacter gastritis. Histopathology. 83(5). 771–781. 6 indexed citations
3.
Chen, Yu-Chin, Wei-Yun Hsu, Julie Chi Chow, et al.. (2022). Circulating pediatric respiratory pathogens in Taiwan during 2020: Dynamic change under low COVID-19 incidence. Journal of Microbiology Immunology and Infection. 55(6). 1151–1158. 13 indexed citations
4.
Huang, Shih‐Chiang, Chi‐Chung Chen, Jui Lan, et al.. (2022). Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings. Nature Communications. 13(1). 3347–3347. 37 indexed citations
5.
Chen, Chi‐Chung, et al.. (2022). Effects of Tocilizumab on Adults With COVID-19 Pneumonia: A Meta-Analysis. Frontiers in Medicine. 9. 838904–838904. 5 indexed citations
6.
Chuang, Wen‐Yu, Chi‐Chung Chen, Wei-Hsiang Yu, et al.. (2021). Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images. Modern Pathology. 34(10). 1901–1911. 38 indexed citations
7.
Chen, Chi‐Long, Chi‐Chung Chen, Wei-Hsiang Yu, et al.. (2021). An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning. Nature Communications. 12(1). 1193–1193. 144 indexed citations
8.
Chen, Chi‐Chung, et al.. (2020). Tourism under the Early Phase of COVID-19 in Four APEC Economies: An Estimation with Special Focus on SARS Experiences. International Journal of Environmental Research and Public Health. 17(20). 7543–7543. 30 indexed citations
9.
Huang, Chien‐Feng, et al.. (2015). An Intelligent Model for Pairs Trading Using Genetic Algorithms. Computational Intelligence and Neuroscience. 2015. 1–10. 20 indexed citations
10.
Chen, Ping‐Yu, et al.. (2014). Evaluating the economic damage of climate change on global coral reefs. Global Environmental Change. 30. 12–20. 65 indexed citations
11.
Chen, Ping‐Yu, et al.. (2013). Measuring the environmental efficiency of countries: A directional distance function metafrontier approach. Journal of Environmental Management. 119. 134–142. 48 indexed citations
12.
McAleer, Michael, et al.. (2012). How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy. Journal of Reviews on Global Economics. 1(20). 1–32. 2 indexed citations
13.
Chen, Sheng-Tung, Hsiao-I Kuo, & Chi‐Chung Chen. (2011). Estimating the extreme behaviors of students performance using quantile regression – evidences from Taiwan. Education Economics. 20(1). 93–113. 3 indexed citations
14.
Chen, Sheng-Tung, et al.. (2010). Economic Growth and Government Size in OECD Countries: New Evidence from the Quantile Regression Approach. Economics bulletin. 30(1). 416–425. 6 indexed citations
15.
Liao, Shu‐Yi, Wei‐Chun Tseng, & Chi‐Chung Chen. (2010). Eliciting public preference for nuclear energy against the backdrop of global warming. Energy Policy. 38(11). 7054–7069. 27 indexed citations
16.
Kuo, Hsiao-I, et al.. (2009). Estimating the Impact of Avian Flu on International Tourism Demand Using Panel Data. Tourism Economics. 15(3). 501–511. 57 indexed citations
17.
Kuo, Hsiao-I, et al.. (2008). Assessing impacts of SARS and Avian Flu on international tourism demand to Asia. Tourism Management. 29(5). 917–928. 337 indexed citations
18.
Chen, Chi‐Chung, et al.. (2002). SPATIAL EQUILIBRIUM MODELING WITH IMPERFECTLY COMPETITIVE MARKETS: AN APPLICATION TO RICE TRADE. AgEcon Search (University of Minnesota, USA). 6 indexed citations
19.
Schneider, Uwe A., et al.. (2001). Effects of Agricultural Greenhouse Gas Emission Mitigation Policies: The Role of International Trade. American Journal of Agricultural Economics. 1 indexed citations
20.
Chen, Chi‐Chung, et al.. (2000). Neutralizing antibody provided protection against enterovirus type 71 lethal challenge in neonatal mice. Journal of Biomedical Science. 7(6). 523–528. 96 indexed citations

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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