Wei Pan

82 papers receiving 1.2k citations

Peers

Wei Pan
Comparison fields: 5 of 148
  • Ceramics and Composites 191
  • Statistical and Nonlinear Physics 152
  • Aerospace Engineering 268
  • Materials Chemistry 479
  • Computer Networks and Communications 193
Replace Jiandong Wang with:
Jiandong Wang China
Xiaoming Sun China
Fangfang Liu China
Takao Watanabe Japan
Ke Hu China
Zhijun Tang China
Hongcheng Wang China
Miaomiao Wang China
Wei Pan relative to Jiandong Wang China Jiandong Wang's profile →
Citations per field
00.5×9.9×
Jiandong Wang · 1×
Citations per year

Countries citing papers authored by Wei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009217
2 2012211
3 2005113
4 201577
5 200263
6 201645
7 201445
8 202227
9 202324
10 201224
11 201824
12 202323
13 201823
14 201221
15 200620
16 201120
17 201920
18 202319
19 201116
20
Electrical and Mechanical Properties of PMMA/nano-ATO Composites
200914

About Wei Pan

Wei Pan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (15 papers), Chaos control and synchronization (12 papers), Advanced ceramic materials synthesis (8 papers), Neural Networks and Reservoir Computing (6 papers), Microwave Dielectric Ceramics Synthesis (6 papers), Nuclear materials and radiation effects (5 papers), Ferroelectric and Piezoelectric Materials (5 papers) and High-Temperature Coating Behaviors (4 papers). The work is most often cited by research in Ceramics and Composites (191 citations), Statistical and Nonlinear Physics (152 citations), Aerospace Engineering (268 citations), Materials Chemistry (479 citations) and Computer Networks and Communications (193 citations). Wei Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunlei Wan, Aibing Du, Zhixue Qu, Yitao Wang, Hu Y, Jin‐Jian Lu, Nianqiang Li, Alexandre Locquet, D. S. Citrin and Longhao Qi. Their work appears in journals such as Optics Express, Journal of Alloys and Compounds, Optics Letters, Optics & Laser Technology and Scientific Reports.

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.

Explore authors with similar magnitude of impact