Ming Jun Huang

4.8k total citations
84 papers, 3.9k citations indexed

About

Ming Jun Huang is a scholar working on Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Building and Construction. According to data from OpenAlex, Ming Jun Huang has authored 84 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Mechanical Engineering, 41 papers in Renewable Energy, Sustainability and the Environment and 20 papers in Building and Construction. Recurrent topics in Ming Jun Huang's work include Solar Thermal and Photovoltaic Systems (31 papers), Phase Change Materials Research (24 papers) and Building Energy and Comfort Optimization (18 papers). Ming Jun Huang is often cited by papers focused on Solar Thermal and Photovoltaic Systems (31 papers), Phase Change Materials Research (24 papers) and Building Energy and Comfort Optimization (18 papers). Ming Jun Huang collaborates with scholars based in United Kingdom, China and Ireland. Ming Jun Huang's co-authors include Brian Norton, Philip Eames, Sarah McCormack, Neil Hewitt, A. Hasan, Yanjun Dai, Chris Wilson, Norman I. Dowling, Ahmad Hasan and Peter D. Clark and has published in prestigious journals such as Journal of the American Chemical Society, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Ming Jun Huang

76 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Jun Huang United Kingdom 29 2.8k 2.4k 748 662 319 84 3.9k
Hans‐Martin Henning Germany 27 1.5k 0.6× 2.3k 1.0× 938 1.3× 894 1.4× 335 1.1× 64 3.9k
Ali Radwan Egypt 30 1.5k 0.6× 1.2k 0.5× 878 1.2× 348 0.5× 235 0.7× 80 2.9k
Atsushi Akisawa Japan 38 1.2k 0.4× 3.8k 1.6× 618 0.8× 487 0.7× 202 0.6× 185 4.9k
T. El Rhafiki Morocco 26 1.3k 0.5× 1.7k 0.7× 542 0.7× 354 0.5× 227 0.7× 64 2.9k
Bale V. Reddy Canada 29 1.4k 0.5× 1.4k 0.6× 527 0.7× 330 0.5× 347 1.1× 113 3.2k
Yuan Tian China 21 2.7k 1.0× 4.0k 1.7× 585 0.8× 647 1.0× 413 1.3× 56 5.3k
Ming Liu Australia 36 2.3k 0.8× 3.8k 1.6× 476 0.6× 362 0.5× 591 1.9× 152 4.8k
Saad Mahmoud United Kingdom 43 2.3k 0.8× 3.9k 1.6× 590 0.8× 166 0.3× 386 1.2× 155 5.4k
Raya Al-Dadah United Kingdom 42 2.1k 0.8× 3.7k 1.5× 599 0.8× 156 0.2× 361 1.1× 135 5.2k
Qibin Liu China 38 1.9k 0.7× 1.7k 0.7× 608 0.8× 209 0.3× 451 1.4× 126 3.7k

Countries citing papers authored by Ming Jun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Jun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Jun Huang. A scholar is included among the top collaborators of Ming Jun 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 Ming Jun Huang. Ming Jun 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
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2.
Huang, Ming Jun, Wei‐Che Tsai, Zhiyuan Feng, & Shi‐Yi Yang. (2025). Carbon emissions and litigation risk. Finance research letters. 80. 107407–107407.
3.
Huang, Ming Jun, Yichen Chen, J. WU, et al.. (2025). Quantify coupling effects between outdoor microclimate and building energy consumption for BIPV buildings in different local climate zones. Energy and Buildings. 347. 116411–116411.
4.
Bai, Caiquan, Jing Cao, Ming Jun Huang, Xi Chen, & Peng Zhang. (2025). Feeling the same heat? Urban–rural inequalities in adapting to extreme temperatures via electricity consumption. Journal of Development Economics. 180. 103692–103692.
5.
Kamkari, Babak, et al.. (2025). A systematic review of explainable artificial intelligence in urban building energy modeling: methods, applications, and future directions. Sustainable Cities and Society. 128. 106492–106492. 5 indexed citations
6.
Huang, Ming Jun, et al.. (2025). Experimental investigation of the PCM-EG radiant floor heating driven by ASHP with advanced heat transfer enhancement. Applied Thermal Engineering. 267. 125781–125781. 5 indexed citations
7.
Wilson, Chris, et al.. (2024). Experimental investigation of a small-scale reversible high-temperature heat pump − organic Rankine cycle system for industrial waste heat recovery. Applied Thermal Engineering. 257. 124237–124237. 10 indexed citations
8.
Zhang, Kaiyuan, et al.. (2024). Uncertainty quantification of turbine endwall aero-thermal performance under combustor-turbine interface louver coolant and cavity. Applied Thermal Engineering. 253. 123800–123800. 1 indexed citations
9.
10.
Huang, Ming Jun & Neil Hewitt. (2024). An experimental investigation into the use of biomimetic methods for thermal regulation and heat retention with PCMs in buildings. Renewable Energy. 236. 121435–121435. 4 indexed citations
11.
Wilson, Chris, Babak Kamkari, Simon Hodge, et al.. (2024). Enhancing thermal energy storage performance with expanded graphite composite: A comparative energy-exergy analysis. Journal of Energy Storage. 108. 115037–115037. 2 indexed citations
12.
Huang, Ming Jun, Kaiyuan Zhang, Zhigang Li, & Jun Li. (2023). Effect of multi-cavity on the aerothermal performance robustness of the squealer tip under geometric and operational uncertainties. Energy. 287. 129691–129691. 5 indexed citations
13.
Huang, Ming Jun, et al.. (2023). Design and modelling of a small-scale reversible high-temperature heat pump—organic Rankine cycle system for industrial waste heat recovery. International Journal of Low-Carbon Technologies. 18. 482–493. 3 indexed citations
14.
Liu, Yuhua, Jing Peng, Mei Sun, et al.. (2023). Emergence of superconductivity in 2D Cu0.65NbS2 nanosheets via copper ion hopping. Science China Materials. 66(8). 3223–3229.
15.
Hewitt, Neil, et al.. (2021). Industrial heat pumps in the UK: current constraints and future possibilities.. Institut International du Froid. 1 indexed citations
16.
17.
Shah, Nikhilkumar, Ming Jun Huang, & Neil Hewitt. (2015). Experimental study of a diesel engine heat pump in heating mode for domestic retrofit application. Applied Thermal Engineering. 98. 522–531. 10 indexed citations
18.
Hasan, A., Sarah McCormack, Ming Jun Huang, & Brian Norton. (2014). Characterization of phase change materials for thermal control of photovoltaics using Differential Scanning Calorimetry and Temperature History Method. Energy Conversion and Management. 81. 322–329. 146 indexed citations
19.
Hewitt, Neil & Ming Jun Huang. (2007). Defrost cycle performance for a circular shape evaporator air source heat pump. International Journal of Refrigeration. 31(3). 444–452. 53 indexed citations
20.
Griffiths, Philip, Ming Jun Huang, & M. Smyth. (2007). Improving the heat retention of integrated collector/storage solar water heaters using Phase Change Materials Slurries. International Journal of Ambient Energy. 28(2). 89–98. 10 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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2026