Pan Wei

2.0k citations
48 papers · 1.7k indexed · h-index 18

Impact in

Papers in

Pan Wei

46 papers receiving 1.6k citations

Peers

Pan Wei
Comparison fields: 5 of 116
  • Renewable Energy, Sustainability and the Environment 449
  • Mechanical Engineering 856
  • Computational Mechanics 215
  • Statistical and Nonlinear Physics 127
  • Computer Vision and Pattern Recognition 182
Replace Jongwon Seok with:
Jongwon Seok South Korea
Sourav Saha Bangladesh
Baotong Li China
Zefei Zhu China
Jianxin Zhou China
Jiaqi Guo China
Gang Shen China
Hamed Moradi Iran
Zhongsheng Chen China
Pan Wei relative to Jongwon Seok South Korea Jongwon Seok's profile →
Citations per field
00.5×4.4×
Jongwon Seok · 1×
Citations per year

Countries citing papers authored by Pan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Pan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020258
2 2016226
3 2016207
4 2020163
5 2019114
6 202283
7 202276
8 201644
9 202042
10 201642
11 201638
12 202237
13 200337
14 202032
15 200425
16 201524
17 201723
18 202318
19 200617
20 201917

About Pan Wei

Pan Wei is a scholar working on Health Informatics, Renewable Energy, Sustainability and the Environment, Statistical and Nonlinear Physics, Mechanical Engineering and Computational Mechanics, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Phase Change Materials Research (15 papers), Adsorption and Cooling Systems (10 papers), Heat and Mass Transfer in Porous Media (9 papers), Solar Thermal and Photovoltaic Systems (7 papers), Chaos control and synchronization (6 papers), Advanced Fiber Laser Technologies (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Neural Networks Stability and Synchronization (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (449 citations), Mechanical Engineering (856 citations), Computational Mechanics (215 citations), Statistical and Nonlinear Physics (127 citations) and Computer Vision and Pattern Recognition (182 citations). Pan Wei has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Xiaohu Yang, Ya‐Ling He, Junfei Guo, Yongquan Zhou, Zhiming Li, Sen Zhang, Haonan Cheng, Bo Yang, Xinyi Wang and Tian Xiao. Their work appears in journals such as Applied Energy, Chaos Solitons & Fractals, Applied Thermal Engineering, International Journal of Heat and Mass Transfer and Applied Optics.

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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