He‐Ping Tan

9.3k citations
322 papers · 7.9k indexed · h-index 46

He‐Ping Tan

315 papers receiving 7.7k citations

Peers

He‐Ping Tan
Comparison fields: 5 of 127
  • Computational Mechanics 3.2k
  • Renewable Energy, Sustainability and the Environment 1.7k
  • Catalysis 488
  • Civil and Structural Engineering 1.4k
  • Environmental Engineering 797
Replace Massoud Kaviany with:
Massoud Kaviany United States
Sassi Ben Nasrallah Tunisia
Wojciech Lipiński Australia
Stephen Whitaker United States
John R. Howell United States
Fuqiang Wang China
R. Viskanta United States
S. A. Sherif United States
Wen‐Quan Tao China
Stuart W. Churchill United States
He‐Ping Tan relative to Massoud Kaviany United States Massoud Kaviany's profile →
Citations per field
00.5×3.1×
Massoud Kaviany · 1×
Citations per year

Countries citing papers authored by He‐Ping Tan

Since Specialization
Citations

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

Fields of papers citing papers by He‐Ping Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He‐Ping Tan. 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 He‐Ping Tan. The network helps show where He‐Ping Tan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside He‐Ping Tan, 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 He‐Ping Tan Line = papers co-authored together He‐Ping Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20240
5 20235
6 20223
7 20226
8 20211
9 202052
10 202047
11 2020263
12 20204
13 201937
14 20198
15 201814
16 201625
17 20091
18 19991
19 19981
20 19982

About He‐Ping Tan

He‐Ping Tan is a scholar working on Computational Mechanics, Civil and Structural Engineering and Environmental Engineering, having authored 322 papers that have together received 7.9k indexed citations. Recurring topics across this work include Radiative Heat Transfer Studies (155 papers), Thermal Radiation and Cooling Technologies (94 papers), Urban Heat Island Mitigation (43 papers), Atmospheric aerosols and clouds (35 papers), Combustion and flame dynamics (34 papers), Calibration and Measurement Techniques (29 papers), Solar Thermal and Photovoltaic Systems (28 papers) and Numerical methods in inverse problems (27 papers). The work is most often cited by research in Computational Mechanics (3.2k citations), Renewable Energy, Sustainability and the Environment (1.7k citations) and Catalysis (488 citations). He‐Ping Tan has collaborated with scholars based in China, United States and Benin. Frequent co-authors include Yong Shuai, Hong-Liang Yi, Xin‐Lin Xia, Fuqiang Wang, Yuan Yuan, Kang Luo, Li-Ming Ruan, Hong Qi, Bachirou Guene Lougou and Yong Zhang. Their work appears in journals such as International Journal of Heat and Mass Transfer, Journal of Quantitative Spectroscopy and Radiative Transfer, Journal of Thermophysics and Heat Transfer, Optics Express and Solar 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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