Yi Pan

459 citations
36 papers · 231 · 1 hit paper · h-index 9

Impact in

Papers in

Yi Pan

29 papers receiving 220 citations

Yi Pan's Hit Papers

Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things 2024 · 44 citations
440+1Years since publication10203040

Peers

Yi Pan
Comparison fields: 5 of 63
  • Computer Networks and Communications 105
  • Rehabilitation 30
  • Information Systems 66
  • Genetics 14
  • Biomaterials 16
Replace José Luis Arias‐Gonzáles with:
José Luis Arias‐Gonzáles Peru
Yusheng Yang China
Zhen Zheng China
Parisa Heidari Canada
Ying Rao China
Kuan-Yin Chen Taiwan
S. Y. Lee South Korea
Xingdong Liu China
Yi Pan relative to José Luis Arias‐Gonzáles Peru José Luis Arias‐Gonzáles's profile →
Citations per field
00.5×
José Luis Arias‐Gonzáles · 1×
Citations per year

Countries citing papers authored by Yi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202359
2
Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things
Hit paper breakdown →
202444
3 201615
4 201314
5 202013
6 201311
7 201410
8 20198
9 20238
10 20136
11 20156
12 20244
13 20174
14 20154
15 20163
16 20242
17 20252
18 20252
19 20152
20
Joint resource provisioning in optical Cloud networks
20162

About Yi Pan

Yi Pan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Molecular Biology, having authored 36 papers that have together received 231 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (10 papers), Optical Network Technologies (8 papers), Cloud Computing and Resource Management (7 papers), Software-Defined Networks and 5G (7 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Photonic Communication Systems (3 papers), Toxic Organic Pollutants Impact (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Networks and Communications (105 citations), Rehabilitation (30 citations), Information Systems (66 citations), Genetics (14 citations) and Biomaterials (16 citations). Yi Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Byrav Ramamurthy, Hui Ding, Xiaokang Zhou, Wei Liang, Jianhua Ma, Kevin I‐Kai Wang, Zheng Yan, Yu Cai, Luyi Ye and Mingang Zhu. Their work appears in journals such as Journal of Optical Communications and Networking, Information Sciences, Robotics and Autonomous Systems, Photonic Network Communications and Electronics.

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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