Weiwei Pan

875 citations
82 papers · 435 · h-index 11

Impact in

Papers in

Weiwei Pan

67 papers receiving 423 citations

Peers

Weiwei Pan
Comparison fields: 5 of 101
  • Software 19
  • Artificial Intelligence 109
  • Electrical and Electronic Engineering 169
  • Information Systems 50
  • Computer Vision and Pattern Recognition 45
Replace Xu Liang with:
Xu Liang China
Aveek Das United States
O. Sarbishei Canada
Sudipta Mahapatra India
Hehua Zhang China
Jing Deng United States
Chi‐Chia Sun Taiwan
Lorenzo Servadei Germany
Abhishek Sinha India
Weiwei Pan relative to Xu Liang China Xu Liang's profile →
Citations per field
00.5×2.7×
Xu Liang · 1×
Citations per year

Countries citing papers authored by Weiwei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201944
2 201129
3 202226
4 201224
5 201423
6 201620
7 202217
8 202116
9 201613
10 201912
11 201712
12 202010
13 202010
14 20139
15 20118
16 20228
17 20228
18 20128
19 20207
20 20217

About Weiwei Pan

Weiwei Pan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 435 indexed citations. Recurring topics across this work include Optical Network Technologies (20 papers), Advanced Photonic Communication Systems (18 papers), Photonic and Optical Devices (17 papers), Advanced Optical Network Technologies (7 papers), Imbalanced Data Classification Techniques (6 papers), Rough Sets and Fuzzy Logic (5 papers), VLSI and Analog Circuit Testing (5 papers) and Semiconductor Lasers and Optical Devices (4 papers). The work is most often cited by research in Software (19 citations), Artificial Intelligence (109 citations), Electrical and Electronic Engineering (169 citations), Information Systems (50 citations) and Computer Vision and Pattern Recognition (45 citations). Weiwei Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zheng Shi, Daren Yu, Qinghua Hu, Yanping Song, Zhong Tang, Xiaopeng Yu, Jiangtao Huangfu, Lixin Ran, Changzhi Li and Shunzhi Zhu. Their work appears in journals such as IEEE Photonics Technology Letters, Journal of Lightwave Technology, IEEE photonics journal, Journal of Intelligent & Fuzzy Systems and Applied Intelligence.

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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