Linfeng Li

906 citations
29 papers · 553 indexed · h-index 8
Co-authors
Zhufang KuangAnfeng LiuLian ZhaoJie GaoYao WangPeng WangYuting LiuZhe Sun
Topics
Topic Modeling (5 papers)IoT and Edge/Fog Computing (3 papers)Face and Expression Recognition (3 papers)

In The Last Decade

Linfeng Li

27 papers receiving 551 citations

Peers

Linfeng Li
Comparison fields: 5 of 98
  • Computer Networks and Communications 247
  • Artificial Intelligence 196
  • Electrical and Electronic Engineering 125
  • Information Systems 84
  • Computer Vision and Pattern Recognition 70
Replace Saima Anwar Lashari with:
Saima Anwar Lashari Malaysia
Manmath Narayan Sahoo India
Xin Du China
Mengshu Hou China
Karan Aggarwal India
Salabat Khan Pakistan
Chang Che China
Ali I. El-Desouky Egypt
Mohammad Arifuzzaman Japan
Younghoon Kim South Korea
Linfeng Li relative to Saima Anwar Lashari Malaysia Saima Anwar Lashari's profile →
Citations per field
00.5×
Saima Anwar Lashari · 1×
Citations per year

Countries citing papers authored by Linfeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Linfeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linfeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Linfeng Li. A scholar is included among the top collaborators of Linfeng Li 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 Linfeng Li. Linfeng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 6
5 2
6 1
7 5
8 5
9 5
10 5
11 2
12 3
13 7
14 1
15 1
16 9
17 4
18 7
19 44
20 12

About Linfeng Li

Linfeng Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 29 papers that have together received 553 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), IoT and Edge/Fog Computing (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Networks and Communications (247 citations), Artificial Intelligence (196 citations) and Health Information Management (24 citations). Linfeng Li has collaborated with scholars based in China, United States and Lithuania. Frequent co-authors include Zhufang Kuang, Anfeng Liu, Lian Zhao, Jie Gao, Yao Wang, Peng Wang, Yuting Liu, Zhe Sun, Buzhou Tang and Simin Li. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Expert Systems with Applications.

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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