Pan Wang

93 papers receiving 1.4k citations

Peers

Pan Wang
Comparison fields: 5 of 129
  • Statistics, Probability and Uncertainty 132
  • Civil and Structural Engineering 243
  • Materials Chemistry 392
  • Mechanics of Materials 197
  • Industrial and Manufacturing Engineering 84
Replace Junjie Li with:
Junjie Li China
Hui Li China
Mohammad Reza Ghasemi Iran
Le Wang China
R. Suresh India
Sanjay Upadhyay India
Yves Candau France
Andrew R. Mills United Kingdom
Huisheng Zhang China
Haitao Liu China
Pan Wang relative to Junjie Li China Junjie Li's profile →
Citations per field
00.5×4.7×
Junjie Li · 1×
Citations per year

Countries citing papers authored by Pan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012156
2 201659
3 201655
4 201751
5 202049
6 202449
7 201749
8 202441
9 202140
10 201936
11 201734
12 201834
13 201034
14 202133
15 201732
16 201730
17 202129
18 201929
19 201625
20 201925

About Pan Wang

Pan Wang is a scholar working on Mechanics of Materials, Civil and Structural Engineering, Computational Mechanics, Materials Chemistry and Statistics, Probability and Uncertainty, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (18 papers), Thermal properties of materials (16 papers), Advanced Thermoelectric Materials and Devices (14 papers), Fatigue and fracture mechanics (11 papers), Advanced Numerical Analysis Techniques (9 papers), Vibration and Dynamic Analysis (7 papers), Numerical methods for differential equations (6 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (132 citations), Civil and Structural Engineering (243 citations), Materials Chemistry (392 citations), Mechanics of Materials (197 citations) and Industrial and Manufacturing Engineering (84 citations). Pan Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include B.L. Wang, K.F. Wang, Y.J. Cui, Zhenzhou Lü, J. Wang, Weibin Wen, Sinan Xiao, Jie Zhang, Jianfeng Yu and Xi Li. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal of Heat and Mass Transfer, Mechanical Systems and Signal Processing, Engineering With Computers and International Journal of Engineering Science.

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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