H. Wang

3.2k total citations · 2 hit papers
34 papers, 2.8k citations indexed

About

H. Wang is a scholar working on Environmental Engineering, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, H. Wang has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Environmental Engineering, 16 papers in Economics and Econometrics and 9 papers in Management Science and Operations Research. Recurrent topics in H. Wang's work include Environmental Impact and Sustainability (21 papers), Energy, Environment, Economic Growth (15 papers) and Efficiency Analysis Using DEA (7 papers). H. Wang is often cited by papers focused on Environmental Impact and Sustainability (21 papers), Energy, Environment, Economic Growth (15 papers) and Efficiency Analysis Using DEA (7 papers). H. Wang collaborates with scholars based in China, Singapore and Australia. H. Wang's co-authors include B.W. Ang, Peng Zhou, Bin Su, Dequn Zhou, Qunwei Wang, Chen Pan, T.N. Goh, Xiaojing Ma, Mong Li Lee and Wynne Hsu and has published in prestigious journals such as Physical Review B, Applied Energy and European Journal of Operational Research.

In The Last Decade

H. Wang

34 papers receiving 2.7k citations

Hit Papers

Energy and CO2 emission performance in electricity genera... 2012 2026 2016 2021 2012 2017 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
H. Wang China 23 1.9k 1.8k 811 579 222 34 2.8k
Xiaoling Ouyang China 30 2.6k 1.4× 1.5k 0.8× 1.3k 1.6× 238 0.4× 309 1.4× 46 3.5k
Ye Hang China 22 1.2k 0.6× 949 0.5× 507 0.6× 210 0.4× 264 1.2× 40 1.9k
Lei Zhu China 30 1.8k 1.0× 1.1k 0.6× 793 1.0× 248 0.4× 98 0.4× 90 3.0k
Donglan Zha China 30 1.4k 0.8× 887 0.5× 891 1.1× 163 0.3× 164 0.7× 77 2.2k
Zhengxia He China 26 1.6k 0.8× 1.1k 0.6× 708 0.9× 129 0.2× 422 1.9× 49 2.5k
Xiaoli Zhao China 29 1.4k 0.7× 922 0.5× 566 0.7× 269 0.5× 179 0.8× 79 2.6k
Qiao‐Mei Liang China 32 2.1k 1.1× 1.5k 0.8× 1.1k 1.4× 106 0.2× 280 1.3× 88 3.4k
Bai-Chen Xie China 23 1.0k 0.5× 848 0.5× 515 0.6× 590 1.0× 71 0.3× 70 2.1k
Shi-Chun Xu China 27 1.8k 0.9× 1.3k 0.7× 687 0.8× 102 0.2× 554 2.5× 50 2.4k
Tengfei Huo China 28 998 0.5× 1.4k 0.8× 369 0.5× 385 0.7× 557 2.5× 47 2.6k

Countries citing papers authored by H. Wang

Since Specialization
Citations

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

Fields of papers citing papers by H. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of H. Wang. A scholar is included among the top collaborators of H. Wang 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 H. Wang. H. Wang 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.
Wang, H., et al.. (2025). Energy consumption assessment of Internet of Things (IoT) based on machine learning approach. Signal Image and Video Processing. 19(5). 1 indexed citations
2.
Guo, Yan, Chang Su, Jo Darkwa, et al.. (2024). A novel CALA-STL algorithm for optimizing prediction of building energy heat load. Energy and Buildings. 328. 115207–115207. 4 indexed citations
3.
Feng, Kuishuang, et al.. (2024). Determinants of the growing material footprints along the Belt and Road. Journal of Industrial Ecology. 28(4). 840–852. 1 indexed citations
4.
Wang, H., et al.. (2019). Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier. Applied Energy. 256. 113986–113986. 55 indexed citations
5.
Wang, H., Chen Pan, & Peng Zhou. (2019). Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis. Environmental and Resource Economics. 74(2). 865–890. 15 indexed citations
6.
Dai, Yingying, et al.. (2019). Controlled magnetization reversal and magnetic spectra of artificial Sierpinski-fractal structure. Journal of Magnetism and Magnetic Materials. 483. 70–75. 8 indexed citations
7.
Wang, H., Jun Yuan, & Szu Hui Ng. (2018). Informational Approach to Global Optimization with Input Uncertainty for Homoscedastic Stochastic Simulation. 230. 1396–1400. 1 indexed citations
8.
Wang, H., et al.. (2018). Design of experimental system for supercritical CO2 fracturing under confining pressure conditions. Journal of Instrumentation. 13(3). P03017–P03017. 10 indexed citations
9.
Ang, B.W., H. Wang, & Xiaojing Ma. (2017). Climatic influence on electricity consumption: The case of Singapore and Hong Kong. Energy. 127. 534–543. 62 indexed citations
10.
Wang, H., B.W. Ang, & Bin Su. (2017). Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues. Energy. 123. 47–63. 92 indexed citations
11.
Goh, T.N., B.W. Ang, Bin Su, & H. Wang. (2017). Drivers of stagnating global carbon intensity of electricity and the way forward. Energy Policy. 113. 149–156. 85 indexed citations
12.
Wang, H., Peng Zhou, & Qunwei Wang. (2016). Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach. Energy. 101. 218–228. 23 indexed citations
13.
Wang, H., B.W. Ang, Qunwei Wang, & Peng Zhou. (2016). Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach. Energy Economics. 62. 70–78. 44 indexed citations
14.
Ang, B.W., Bin Su, & H. Wang. (2016). A spatial–temporal decomposition approach to performance assessment in energy and emissions. Energy Economics. 60. 112–121. 131 indexed citations
15.
Dai, Yingying, et al.. (2015). Resonant excitation of coupled skyrmions by spin-transfer torque. International Journal of Modern Physics B. 30(2). 1550254–1550254. 2 indexed citations
16.
Wang, H., Xinwei Liao, & Xiaoliang Zhao. (2014). The Influence of CO2Solubility in Reservoir Water on CO2Flooding and Storage of CO2Injection into a Water Flooded Low Permeability Reservoir. Energy Sources Part A Recovery Utilization and Environmental Effects. 36(8). 815–821. 8 indexed citations
17.
Dai, Yingying, et al.. (2013). Skyrmion ground state and gyration of skyrmions in magnetic nanodisks without the Dzyaloshinsky-Moriya interaction. Physical Review B. 88(5). 75 indexed citations
18.
Zhou, Peng, B.W. Ang, & H. Wang. (2012). Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach. European Journal of Operational Research. 221(3). 625–635. 753 indexed citations breakdown →
19.
Wang, H., Dequn Zhou, Peng Zhou, & Donglan Zha. (2011). Direct rebound effect for passenger transport: Empirical evidence from Hong Kong. Applied Energy. 92. 162–167. 35 indexed citations
20.
Li, Haotian, Wynne Hsu, Mong Li Lee, & H. Wang. (2004). A piecewise Gaussian model for profiling and differentiating retinal vessels. 1. I–1069. 71 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026