Jinfeng Lai

490 citations
12 papers · 362 indexed · h-index 7
Topics
Cryptography and Data Security (3 papers)Face and Expression Recognition (3 papers)Privacy-Preserving Technologies in Data (2 papers)
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Jinfeng Lai

12 papers receiving 352 citations

Peers

Jinfeng Lai
Comparison fields: 5 of 57
  • Artificial Intelligence 171
  • Computer Vision and Pattern Recognition 156
  • Electrical and Electronic Engineering 121
  • Information Systems 106
  • Computer Networks and Communications 103
Replace Keecheon Kim with:
Keecheon Kim South Korea
Jiashen Cao United States
Aidan Boran Ireland
Changsheng Wan China
Shilpa George United States
Huangxun Chen China
Mansoor Ebrahim Pakistan
P. G. Shynu India
Colin Funai United States
Jinfeng Lai relative to Keecheon Kim South Korea Keecheon Kim's profile →
Citations per field
00.5×2.8×
Keecheon Kim · 1×
Citations per year

Countries citing papers authored by Jinfeng Lai

Since Specialization
Citations

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

Fields of papers citing papers by Jinfeng Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinfeng Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Jinfeng Lai. A scholar is included among the top collaborators of Jinfeng Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinfeng Lai. Jinfeng Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2
An Efficient Differential Evolution Via Both Top Collective and p-Best Information
4
3 3
4 15
5 99
6 4
7
Fine-grained and Efficient Access Control in E-health Environment
1
8 21
9 145
10 13
11 45
12 10

About Jinfeng Lai

Jinfeng Lai is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Information Systems, having authored 12 papers that have together received 362 indexed citations. Recurring topics across this work include Cryptography and Data Security (3 papers), Face and Expression Recognition (3 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Artificial Intelligence (171 citations) and Information Systems (106 citations). Jinfeng Lai has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Cheng Dai, Xingang Liu, Jian Shen, Chen Wang, Jianwei Liu, Pan Li, Han‐Chieh Chao, Sangman Moh, Wei‐Shi Zheng and Tianqi Zhou. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology and IEEE Internet of Things Journal.

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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