Pan Dai

474 citations
51 papers · 303 · h-index 9

Impact in

Papers in

Pan Dai

33 papers receiving 273 citations

Peers

Pan Dai
Comparison fields: 5 of 28
  • Electrical and Electronic Engineering 287
  • Atomic and Molecular Physics, and Optics 129
  • Instrumentation 11
  • Surfaces, Coatings and Films 21
  • Aerospace Engineering 24
Replace Dongdong Lin with:
Dongdong Lin China
Shaohua An China
Shi Zhao China
Zhengsen Ruan China
Hyeonho Yoon South Korea
Karen Nummy United States
Thomas Houghton United States
Fausto Gomez-Agis Netherlands
Ross Cheriton Canada
Ken Giewont United States
Pan Dai relative to Dongdong Lin China Dongdong Lin's profile →
Citations per field
00.5×5.5×
Dongdong Lin · 1×
Citations per year

Countries citing papers authored by Pan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Pan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201943
2 201941
3 202032
4 202025
5 201924
6 201917
7 201914
8 20209
9 20199
10 20238
11 20198
12 20198
13 20227
14 20197
15 20217
16 20226
17 20244
18 20224
19 20234
20 20234

About Pan Dai

Pan Dai is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Instrumentation, Artificial Intelligence and Aerospace Engineering, having authored 51 papers that have together received 303 indexed citations. Recurring topics across this work include Photonic and Optical Devices (37 papers), Advanced Fiber Optic Sensors (21 papers), Advanced Fiber Laser Technologies (20 papers), Semiconductor Lasers and Optical Devices (13 papers), Optical Network Technologies (11 papers), Advanced Photonic Communication Systems (10 papers), Advanced Optical Sensing Technologies (6 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (287 citations), Atomic and Molecular Physics, and Optics (129 citations), Instrumentation (11 citations), Surfaces, Coatings and Films (21 citations) and Aerospace Engineering (24 citations). Pan Dai has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiangfei Chen, Yuechun Shi, Rulei Xiao, Yong Zhao, Jun Lu, Long Huang, Shangjing Liu, Jia Li, Ruoming Li and Shengping Liu. Their work appears in journals such as Journal of Lightwave Technology, Optics Express, Chinese Optics Letters, IEEE Journal of Quantum Electronics and IEEE Photonics Technology Letters.

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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