Keqin Li

931 citations
21 papers · 610 indexed · 1 hit paper · h-index 9
Topics
Optimization and Search Problems (2 papers)Advanced Manufacturing and Logistics Optimization (2 papers)Machine Learning and ELM (2 papers)

In The Last Decade

Keqin Li

17 papers receiving 594 citations

Hit Papers

A Parallel Random Forest Algorithm for Big Data in a Spar...20162026201920222016100200300

Peers

Keqin Li
Comparison fields: 5 of 106
  • Artificial Intelligence 249
  • Computer Networks and Communications 166
  • Information Systems 157
  • Computer Vision and Pattern Recognition 97
  • Electrical and Electronic Engineering 66
Replace Danial Javaheri with:
Danial Javaheri South Korea
Salman Salloum China
Suhel Hammoud United Kingdom
Farhan Amin South Korea
Tai-hoon Kim South Korea
Nitin Gupta India
Matthias Feurer Germany
Se‐Jung Lim South Korea
Xia Xie China
Keqin Li relative to Danial Javaheri South Korea Danial Javaheri's profile →
Citations per field
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Danial Javaheri · 1×
Citations per year

Countries citing papers authored by Keqin Li

Since Specialization
Citations

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

Fields of papers citing papers by Keqin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keqin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Keqin Li. A scholar is included among the top collaborators of Keqin 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 Keqin Li. Keqin 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 0
2 1
3 2
4 0
5 10
6 0
7 1
8 3
9 32
10 9
11 1
12 4
13 8
14 84
15 6
16 11
17 94
18
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environmentbreakdown →
330
19 13
20 0

About Keqin Li

Keqin Li is a scholar working on Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 21 papers that have together received 610 indexed citations. Recurring topics across this work include Optimization and Search Problems (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Artificial Intelligence (249 citations), Health Informatics (10 citations) and Computer Networks and Communications (166 citations). Keqin Li has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kenli Li, Zhuo Tang, Shui Yu, Jianguo Chen, Chuliang Weng, Kashif Bilal, Cen Chen, Aijia Ouyang, Wenjia Li and Yupeng Hu. Their work appears in journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Computers.

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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