Han Huang

685 total citations
20 papers, 508 citations indexed

About

Han Huang is a scholar working on Sociology and Political Science, Marketing and Economics and Econometrics. According to data from OpenAlex, Han Huang has authored 20 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 7 papers in Marketing and 5 papers in Economics and Econometrics. Recurrent topics in Han Huang's work include Environmental Sustainability in Business (7 papers), Digital Marketing and Social Media (5 papers) and Energy, Environment, Economic Growth (4 papers). Han Huang is often cited by papers focused on Environmental Sustainability in Business (7 papers), Digital Marketing and Social Media (5 papers) and Energy, Environment, Economic Growth (4 papers). Han Huang collaborates with scholars based in China, Denmark and Italy. Han Huang's co-authors include Ruyin Long, Hong Chen, Kun Sun, Qingqing Sun, Da Liu, Jinchen Liu, Meifen Wu, Yujie Wang, Qianwen Li and Yi Feng and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Journal of Environmental Management.

In The Last Decade

Han Huang

18 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Huang China 13 124 115 87 83 80 20 508
Qingqing Sun China 13 241 1.9× 115 1.0× 133 1.5× 42 0.5× 109 1.4× 30 662
Kun Sun China 12 115 0.9× 84 0.7× 101 1.2× 60 0.7× 41 0.5× 20 536
Xiu Cheng China 13 204 1.6× 148 1.3× 80 0.9× 92 1.1× 79 1.0× 32 626
Lars Strupeit Sweden 7 82 0.7× 163 1.4× 48 0.6× 72 0.9× 223 2.8× 10 531
Yongyou Nie China 13 206 1.7× 53 0.5× 104 1.2× 29 0.3× 100 1.3× 24 451
Nana Deng China 12 170 1.4× 92 0.8× 64 0.7× 40 0.5× 40 0.5× 26 451
Oscar Fitch-Roy United Kingdom 12 83 0.7× 84 0.7× 36 0.4× 103 1.2× 173 2.2× 24 475
Lingling Guo China 12 137 1.1× 80 0.7× 77 0.9× 17 0.2× 142 1.8× 31 392
Alfonso Marino Italy 10 120 1.0× 91 0.8× 79 0.9× 33 0.4× 192 2.4× 39 511

Countries citing papers authored by Han Huang

Since Specialization
Citations

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

Fields of papers citing papers by Han Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Han Huang. A scholar is included among the top collaborators of Han Huang 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 Han Huang. Han Huang 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.
Huang, Han, Xiaomei Zeng, Kun Sun, & Yuanxin Wu. (2025). Environmental communication strategies in green consumption: spatiotemporal shifts across six domains revealed by social big data. Environment Development and Sustainability.
2.
Huang, Han, Kun Sun, & Ruyin Long. (2025). Navigating sentiment dynamics in social media: The role of information characteristics in promoting green consumption across multiple domains. Environmental Impact Assessment Review. 112. 107840–107840. 8 indexed citations
3.
Liu, Junling, et al.. (2025). Assessing the effectiveness of green consumption policy in China: Evidence from social media data. Journal of Environmental Management. 376. 124500–124500. 2 indexed citations
4.
Yu, Lu, et al.. (2025). Climate policy landscape and networks in China from 2000 to 2022. Climate Policy. 1–17.
5.
Long, Ruyin, et al.. (2024). Sentiment analysis of online reviews of energy-saving products based on transfer learning and LBBA model. Journal of Environmental Management. 360. 121083–121083. 8 indexed citations
6.
Huang, Han, et al.. (2023). Examining public attitudes and perceptions of waste sorting in China through an urban heterogeneity lens: A social media analysis. Resources Conservation and Recycling. 199. 107233–107233. 18 indexed citations
7.
Huang, Han, Ruyin Long, Hong Chen, et al.. (2023). Why don't more people engage in green practices in China? A policy-oriented approach to promoting green transformation in five consumption areas. Environmental Impact Assessment Review. 101. 107099–107099. 45 indexed citations
8.
Huang, Han, Ruyin Long, Hong Chen, et al.. (2023). Do stakeholders have the same concerns about anti-food waste law in China? Using big data from social media. Environmental Impact Assessment Review. 100. 107071–107071. 12 indexed citations
9.
Jiang, Shiyan, et al.. (2023). A methodology to assess the effectiveness of policies for food waste reduction: Application on Chinese policies from 1961 to 2021. Resources Conservation and Recycling. 194. 106983–106983. 15 indexed citations
10.
Sun, Qingqing, Ruyin Long, Jianqiang Zhang, et al.. (2023). Can Chinese cities reach their carbon peaks on time? Scenario analysis based on machine learning and LMDI decomposition. Applied Energy. 347. 121427–121427. 38 indexed citations
11.
Sun, Qingqing, et al.. (2023). Analysis of spatial and temporal carbon emission efficiency in Yangtze River Delta city cluster — Based on nighttime lighting data and machine learning. Environmental Impact Assessment Review. 103. 107232–107232. 21 indexed citations
13.
Huang, Han, et al.. (2022). Knowledge domain and research progress in green consumption: a phase upgrade study. Environmental Science and Pollution Research. 29(26). 38797–38824. 29 indexed citations
14.
Sun, Qingqing, et al.. (2022). Comparative evaluation for recycling waste power batteries with different collection modes based on Stackelberg game. Journal of Environmental Management. 312. 114892–114892. 86 indexed citations
15.
Wu, Meifen, Ruyin Long, Feiyu Chen, et al.. (2022). Spatio-temporal difference analysis in climate change topics and sentiment orientation: Based on LDA and BiLSTM model. Resources Conservation and Recycling. 188. 106697–106697. 35 indexed citations
16.
Huang, Han, et al.. (2021). Exploring public attention about green consumption on Sina Weibo: Using text mining and deep learning. Sustainable Production and Consumption. 30. 674–685. 92 indexed citations
17.
Liu, Da, Jinchen Liu, Han Huang, & Kun Sun. (2018). Analysis of the international polysilicon trade network. Resources Conservation and Recycling. 142. 122–130. 27 indexed citations
18.
Liu, Da, et al.. (2018). Monthly Load Forecasting Based on Economic Data by Decomposition Integration Theory. Sustainability. 10(9). 3282–3282. 12 indexed citations
19.
Liu, Da, Jinchen Liu, Han Huang, et al.. (2017). Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power. Sustainability. 9(6). 874–874. 5 indexed citations
20.
Liu, Da, Jinchen Liu, Han Huang, et al.. (2017). Electricity consumption and economic growth nexus in Beijing: A causal analysis of quarterly sectoral data. Renewable and Sustainable Energy Reviews. 82. 2498–2503. 47 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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