Hsiao-Tien Pao

5.1k total citations · 3 hit papers
40 papers, 4.1k citations indexed

About

Hsiao-Tien Pao is a scholar working on Economics and Econometrics, Environmental Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Hsiao-Tien Pao has authored 40 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 10 papers in Environmental Engineering and 10 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Hsiao-Tien Pao's work include Energy, Environment, Economic Growth (15 papers), Environmental Impact and Sustainability (10 papers) and Energy, Environment, and Transportation Policies (10 papers). Hsiao-Tien Pao is often cited by papers focused on Energy, Environment, Economic Growth (15 papers), Environmental Impact and Sustainability (10 papers) and Energy, Environment, and Transportation Policies (10 papers). Hsiao-Tien Pao collaborates with scholars based in Taiwan, China and United States. Hsiao-Tien Pao's co-authors include Hsin-Chia Fu, Cheng-Lung Tseng, Chun‐Chih Chen, Haipeng Chen, Cheng‐Chin Chiang, Yiying Li, Shih‐Ching Chuang, Hsiang-Cheh Huang, Po‐Ting Lai and Hsiao–Cheng Yu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Energy Policy.

In The Last Decade

Hsiao-Tien Pao

38 papers receiving 4.0k citations

Hit Papers

Multivariate Granger causality between CO2 emissions, ene... 2010 2026 2015 2020 2010 2010 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsiao-Tien Pao Taiwan 19 3.1k 2.1k 1.3k 749 586 40 4.1k
Lester C. Hunt United Kingdom 33 2.2k 0.7× 2.3k 1.1× 777 0.6× 746 1.0× 507 0.9× 83 3.5k
Xiaoling Ouyang China 30 2.6k 0.8× 1.3k 0.6× 1.5k 1.2× 371 0.5× 250 0.4× 46 3.5k
Debin Fang China 27 1.5k 0.5× 714 0.3× 734 0.6× 326 0.4× 396 0.7× 81 2.8k
Sajal Ghosh India 26 3.1k 1.0× 2.0k 0.9× 460 0.3× 747 1.0× 310 0.5× 54 3.6k
Melike Bildirici Türkiye 29 2.3k 0.8× 1.2k 0.6× 512 0.4× 745 1.0× 157 0.3× 161 3.0k
Karsten Neuhoff Germany 36 2.8k 0.9× 1.9k 0.9× 992 0.8× 310 0.4× 1.8k 3.0× 175 5.0k
Haizhong An China 41 2.6k 0.9× 821 0.4× 1.0k 0.8× 166 0.2× 321 0.5× 156 4.5k
Donglan Zha China 30 1.4k 0.5× 891 0.4× 887 0.7× 268 0.4× 325 0.6× 77 2.2k
Ephraim Bonah Agyekum Russia 39 1.4k 0.4× 1.8k 0.8× 691 0.5× 1.1k 1.4× 897 1.5× 150 4.4k
Paul J. Burke Australia 33 1.2k 0.4× 1.1k 0.5× 328 0.2× 683 0.9× 581 1.0× 112 3.3k

Countries citing papers authored by Hsiao-Tien Pao

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao-Tien Pao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao-Tien Pao. 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 Hsiao-Tien Pao. The network helps show where Hsiao-Tien Pao may publish in the future.

Co-authorship network of co-authors of Hsiao-Tien Pao

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao-Tien Pao. A scholar is included among the top collaborators of Hsiao-Tien Pao 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 Hsiao-Tien Pao. Hsiao-Tien Pao 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, Chun‐Chih & Hsiao-Tien Pao. (2024). Circular economy and ecological footprint: A disaggregated analysis for the EU. Ecological Indicators. 160. 111809–111809. 13 indexed citations
2.
Chen, Chun‐Chih & Hsiao-Tien Pao. (2022). The causal link between circular economy and economic growth in EU-25. Environmental Science and Pollution Research. 29(50). 76352–76364. 17 indexed citations
3.
Pao, Hsiao-Tien & Chun‐Chih Chen. (2019). Decoupling of environmental pressure and economic growth: evidence from high-income and nuclear-dependent countries. Environmental Science and Pollution Research. 27(5). 5192–5210. 7 indexed citations
4.
Pao, Hsiao-Tien & Hsin-Chia Fu. (2015). Competition and stability analyses among emissions, energy, and economy: Application for Mexico. Energy. 82. 98–107. 16 indexed citations
5.
Pao, Hsiao-Tien, et al.. (2015). Competitive dynamics of energy, environment, and economy in the U.S.. Energy. 89. 449–460. 45 indexed citations
6.
Pao, Hsiao-Tien, Yiying Li, & Hsin-Chia Fu. (2014). Causality Relationship between Energy Consumption and Economic Growth in Brazil. Smart Grid and Renewable Energy. 5(8). 198–205. 20 indexed citations
7.
Pao, Hsiao-Tien, et al.. (2013). An iaas based interactive video platform for E-learning and remote services. 24(2). 20–32.
8.
Pao, Hsiao-Tien, Hsin-Chia Fu, & Hsiao–Cheng Yu. (2013). Forecasting Russian renewable, nuclear, and total energy consumption using improved nonlinear grey Bernoulli model. 5 indexed citations
9.
Fu, Hsin-Chia, et al.. (2013). Interactive Video Platform for E-learning and Remote services.
10.
Pao, Hsiao-Tien & Hsin-Chia Fu. (2013). The causal relationship between energy resources and economic growth in Brazil. Energy Policy. 61. 793–801. 59 indexed citations
11.
Pao, Hsiao-Tien, et al.. (2010). Determinants of CO<inf>2</inf> emissions in BRICs. 10. 1–4. 2 indexed citations
12.
Pao, Hsiao-Tien. (2009). Forecasting energy consumption in Taiwan using hybrid nonlinear models. Energy. 34(10). 1438–1446. 119 indexed citations
13.
Pao, Hsiao-Tien, et al.. (2007). An EM based multiple instance learning method for image classification. Expert Systems with Applications. 35(3). 1468–1472. 24 indexed citations
14.
Pao, Hsiao-Tien. (2006). Forecasting electricity market pricing using artificial neural networks. Energy Conversion and Management. 48(3). 907–912. 129 indexed citations
15.
Huang, Hsiang-Cheh, et al.. (2005). Adaptive Watermarking Using Relationships between Wavelet Coefficients. 4979–4982. 15 indexed citations
16.
Pao, Hsiao-Tien, et al.. (2004). Forecasting the Consumption for Electricity in Taiwan. Journal of the Association for Information Systems. 1 indexed citations
17.
Pao, Hsiao-Tien, et al.. (2002). A Comparative Study of Systematic Risk Using Neural Networks and Regression Analysis. 5(2). 183–191. 1 indexed citations
18.
Fu, Hsin-Chia, et al.. (2001). Divide-and-conquer learning and modular perceptron networks. IEEE Transactions on Neural Networks. 12(2). 250–263. 36 indexed citations
19.
Pao, Hsiao-Tien, et al.. (2000). User adaptive handwriting recognition by self-growing probabilistic decision-based neural networks. IEEE Transactions on Neural Networks. 11(6). 1373–1384. 19 indexed citations
20.
Fu, Hsin-Chia, et al.. (1993). <title>Neural nets for radio Morse code recognizing</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1965. 334–345. 2 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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