Ming Jun Huang

4.9k citations
83 papers · 4.0k · h-index 29

Impact in

Papers in

Ming Jun Huang

77 papers receiving 3.9k citations

Peers

Ming Jun Huang
Comparison fields: 5 of 86
  • Renewable Energy, Sustainability and the Environment 2.8k
  • Mechanical Engineering 2.4k
  • Building and Construction 673
  • Energy Engineering and Power Technology 89
  • Civil and Structural Engineering 287
Replace Ali Radwan with:
Ali Radwan Egypt
Ming Liu Australia
Yuan Tian China
Atsushi Akisawa Japan
Bale V. Reddy Canada
Hans‐Martin Henning Germany
Saad Mahmoud United Kingdom
Raya Al-Dadah United Kingdom
Peiwen Li United States
Marc Medrano Spain
Ming Jun Huang relative to Ali Radwan Egypt Ali Radwan's profile →
Citations per field
00.5×10×20×30×42.8×
Ali Radwan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ming Jun Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Jun Huang Line = papers co-authored together Ming Jun Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004426
2 2010393
3 2005319
4 2010276
5 2011268
6 2015208
7 2014182
8 2010176
9 2014149
10 2018136
11 2020109
12 200386
13 199286
14 202283
15 201174
16 200072
17 201371
18 202070
19 200669
20 200753

About Ming Jun Huang

Ming Jun Huang is a scholar working on Mechanical Engineering, Renewable Energy, Sustainability and the Environment, Building and Construction, Materials Chemistry and Aerospace Engineering, having authored 83 papers that have together received 4.0k indexed citations. Recurring topics across this work include Solar Thermal and Photovoltaic Systems (31 papers), Phase Change Materials Research (24 papers), Building Energy and Comfort Optimization (17 papers), Refrigeration and Air Conditioning Technologies (16 papers), Geothermal Energy Systems and Applications (10 papers), Probabilistic and Robust Engineering Design (8 papers), Turbomachinery Performance and Optimization (8 papers) and Solar Energy Systems and Technologies (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.8k citations), Mechanical Engineering (2.4k citations), Building and Construction (673 citations), Energy Engineering and Power Technology (89 citations) and Civil and Structural Engineering (287 citations). Ming Jun Huang has collaborated with scholars based in United Kingdom, China and Ireland. Frequent co-authors include Brian Norton, Philip Eames, Sarah McCormack, Neil Hewitt, A. Hasan, Yanjun Dai, Chris Wilson, Ahmad Hasan, Peter D. Clark and Norman I. Dowling. Their work appears in journals such as Applied Thermal Engineering, Solar Energy, Solar Energy Materials and Solar Cells, Applied Catalysis A General and Renewable Energy.

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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