Pan Pan

235 papers receiving 3.9k citations

Pan Pan's Hit Papers

Few-Shot Incremental Learning with Continually Evolved Classifiers 2021 · 223 citations
2230+1+3Years since publication50100150200

Peers

Pan Pan
Comparison fields: 5 of 164
  • Nuclear Energy and Engineering 33
  • Computer Vision and Pattern Recognition 714
  • Civil and Structural Engineering 753
  • Pollution 365
  • Atomic and Molecular Physics, and Optics 488
Replace Wei Wang with:
Wei Wang China
Wang Li China
Andreas Ludwig Austria
Jing Wang China
Jian Li China
Menghuai Wu Austria
Abdellah Kharicha Austria
Lijuan Li China
Liyuan Liu China
Pan Pan relative to Wei Wang China Wei Wang's profile →
Citations per field
00.5×4.6×
Wei Wang · 1×
Citations per year

Countries citing papers authored by Pan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Pan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010272
2
Few-Shot Incremental Learning with Continually Evolved Classifiers
Hit paper breakdown →
2021223
3 2013149
4 2021136
5 2017108
6 201693
7 201482
8 201482
9 202181
10 201974
11 201268
12 201768
13 201967
14 201766
15 201564
16 201662
17 201461
18 201858
19 202256
20 201451

About Pan Pan

Pan Pan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Aerospace Engineering and Civil and Structural Engineering, having authored 259 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gyrotron and Vacuum Electronics Research (59 papers), Microwave Engineering and Waveguides (50 papers), Asphalt Pavement Performance Evaluation (19 papers), Video Surveillance and Tracking Methods (16 papers), Terahertz technology and applications (15 papers), Photonic and Optical Devices (13 papers), Infrastructure Maintenance and Monitoring (12 papers) and Human Pose and Action Recognition (12 papers). The work is most often cited by research in Nuclear Energy and Engineering (33 citations), Computer Vision and Pattern Recognition (714 citations), Civil and Structural Engineering (753 citations), Pollution (365 citations) and Atomic and Molecular Physics, and Optics (488 citations). Pan Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yinghui Xu, Shaopeng Wu, Yun Zheng, Jinjun Feng, Quantao Liu, Yue Xiao, Xiaodi Hu, Peter J. Tonge, Dan Schonfeld and Nan Song. Their work appears in journals such as IEEE Transactions on Electron Devices, Construction and Building Materials, IEEE Electron Device Letters, Materials and IEEE Transactions on Plasma 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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