Minda Ma

5.4k total citations · 5 hit papers
62 papers, 4.5k citations indexed

About

Minda Ma is a scholar working on Environmental Engineering, Building and Construction and Economics and Econometrics. According to data from OpenAlex, Minda Ma has authored 62 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Environmental Engineering, 29 papers in Building and Construction and 20 papers in Economics and Econometrics. Recurrent topics in Minda Ma's work include Environmental Impact and Sustainability (46 papers), Building Energy and Comfort Optimization (23 papers) and Sustainable Building Design and Assessment (17 papers). Minda Ma is often cited by papers focused on Environmental Impact and Sustainability (46 papers), Building Energy and Comfort Optimization (23 papers) and Sustainable Building Design and Assessment (17 papers). Minda Ma collaborates with scholars based in China, United States and Hong Kong. Minda Ma's co-authors include Weiguang Cai, Xin Ma, Wei Cai, Xiwang Xiang, Wei Feng, Zhili Ma, Yan Ran, Conghu Liu, Kai Li and Shufan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Minda Ma

61 papers receiving 4.4k citations

Hit Papers

Global transition of oper... 2023 2026 2024 2023 2024 2024 2025 2025 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minda Ma 2.3k 1.9k 1.1k 965 761 62 4.5k
Nan Zhou 2.5k 1.1× 1.5k 0.8× 1.9k 1.7× 1.2k 1.2× 545 0.7× 105 5.3k
Weiguang Cai 3.6k 1.6× 2.6k 1.4× 2.1k 1.8× 1.2k 1.2× 1.4k 1.8× 169 6.4k
Huibin Du 1.4k 0.6× 1.6k 0.8× 496 0.4× 851 0.9× 473 0.6× 101 4.7k
Seppo Junnila 2.0k 0.9× 702 0.4× 2.1k 1.8× 651 0.7× 401 0.5× 159 4.5k
Lynn Price 2.6k 1.1× 1.5k 0.8× 1.8k 1.6× 2.0k 2.0× 220 0.3× 106 6.8k
Wei Feng 2.5k 1.1× 1.0k 0.6× 2.7k 2.4× 1.1k 1.2× 533 0.7× 160 6.5k
Huijuan Dong 2.4k 1.0× 1.4k 0.8× 460 0.4× 506 0.5× 698 0.9× 101 5.2k
Muhammad Shafique 1.4k 0.6× 730 0.4× 719 0.6× 628 0.7× 526 0.7× 67 3.7k
Jing‐Li Fan 1.9k 0.8× 1.8k 1.0× 311 0.3× 1.1k 1.2× 303 0.4× 107 4.7k
Chenyang Shuai 2.0k 0.9× 2.2k 1.2× 556 0.5× 714 0.7× 745 1.0× 76 4.0k

Countries citing papers authored by Minda Ma

Since Specialization
Citations

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

Fields of papers citing papers by Minda Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minda Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Minda Ma. A scholar is included among the top collaborators of Minda Ma 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 Minda Ma. Minda Ma 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.
Ma, Minda, et al.. (2025). Provincial allocation of China's commercial building operational carbon toward carbon neutrality. Applied Energy. 384. 125450–125450. 22 indexed citations breakdown →
2.
Wang, Yuanyuan, Minda Ma, Nan Zhou, & Zhili Ma. (2025). Paving the way to carbon neutrality: Evaluating the decarbonization of residential building electrification worldwide. Sustainable Cities and Society. 130. 106549–106549. 4 indexed citations
3.
Ma, Minda, Shufan Zhang, Yan Ran, et al.. (2025). Building floorspace and stock measurement: A review of global efforts, knowledge gaps, and research priorities. SHILAP Revista de lepidopterología. 2(3). 100075–100075. 7 indexed citations
4.
You, Kairui, Yan Li, Wei Feng, Weiguang Cai, & Minda Ma. (2024). A provincial analysis of centralized heating systems decarbonization in China's residential sector: History and future. Sustainable Cities and Society. 104. 105306–105306. 13 indexed citations
5.
Ma, Xin, et al.. (2024). Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries. Applied Energy. 360. 122824–122824. 38 indexed citations
6.
Zhang, Shufan, Minda Ma, Nan Zhou, et al.. (2024). Estimation of global building stocks by 2070: Unlocking renovation potential. 1(3). 100019–100019. 54 indexed citations breakdown →
7.
Ma, Minda, Nan Zhou, Wei Feng, & Jinyue Yan. (2024). Challenges and opportunities in the global net-zero building sector. SHILAP Revista de lepidopterología. 1(8). 100154–100154. 56 indexed citations breakdown →
8.
Zhou, Nan, et al.. (2023). Pathway for decarbonizing residential building operations in the US and China beyond the mid-century. Applied Energy. 342. 121164–121164. 67 indexed citations
9.
Xiang, Xiwang, et al.. (2023). Global transition of operational carbon in residential buildings since the millennium. Advances in Applied Energy. 11. 100145–100145. 97 indexed citations breakdown →
10.
Xiang, Xiwang, et al.. (2023). Heterogeneity or illusion? Track the carbon Kuznets curve of global residential building operations. Applied Energy. 347. 121441–121441. 77 indexed citations
11.
Ma, Minda, et al.. (2023). Toward carbon free by 2060: A decarbonization roadmap of operational residential buildings in China. Energy. 277. 127689–127689. 91 indexed citations
12.
Ma, Xin, et al.. (2023). Urban natural gas consumption forecasting by novel wavelet-kernelized grey system model. Engineering Applications of Artificial Intelligence. 119. 105773–105773. 32 indexed citations
14.
Ma, Zhili, Minda Ma, Weiguang Cai, et al.. (2022). Carbon Peak and Carbon Neutrality in the Building Sector: A Bibliometric Review. Buildings. 12(2). 128–128. 74 indexed citations
15.
Ma, Minda, et al.. (2022). Potential to decarbonize the commercial building operation of the top two emitters by 2060. Resources Conservation and Recycling. 185. 106481–106481. 88 indexed citations
16.
Xiang, Xiwang, Xin Ma, Zhili Ma, Minda Ma, & Weiguang Cai. (2022). Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions. Buildings. 12(1). 83–83. 57 indexed citations
17.
Hu, Shaohua, Jie Yang, Zhigang Jiang, Minda Ma, & Wei Cai. (2021). CO2 Emission and Energy Consumption from Automobile Industry in China: Decomposition and Analyses of Driving Forces. Processes. 9(5). 810–810. 23 indexed citations
18.
Zhang, Shufan, et al.. (2021). Carbon Neutral Roadmap of Commercial Building Operations by Mid-Century: Lessons from China. Buildings. 11(11). 510–510. 37 indexed citations
19.
Lü, Hongfang, Xin Ma, & Minda Ma. (2021). Impacts of the COVID-19 pandemic on the energy sector. Journal of Zhejiang University. Science A. 22(12). 941–956. 17 indexed citations
20.
Lü, Hongfang, Xin Ma, & Minda Ma. (2020). A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19. Energy. 219. 119568–119568. 63 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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