Mingkun Li

936 citations
16 papers · 631 · h-index 9

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Multimodal Machine Learning Applications
    • Image Retrieval and Classification Techniques
    • Video Surveillance and Tracking Methods
    • Video Analysis and Summarization
    • Face and Expression Recognition
    • Machine Learning and Algorithms
    • Domain Adaptation and Few-Shot Learning

Papers in

    • Human Pose and Action Recognition 3
    • Face and Expression Recognition 3
    • Advanced Image and Video Retrieval Techniques 3
    • Video Surveillance and Tracking Methods 3
    • Image Retrieval and Classification Techniques 3
    • Video Analysis and Summarization 2
    • Machine Learning and Algorithms 2
    • Machine Learning and Data Classification 2

Mingkun Li

16 papers receiving 611 citations

Peers

Mingkun Li
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 446
  • Artificial Intelligence 282
  • Signal Processing 91
  • Media Technology 46
  • Experimental and Cognitive Psychology 21
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Citations per field
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Citations per year

Countries citing papers authored by Mingkun Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingkun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Mingkun Li, 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 Mingkun Li Line = papers co-authored together Mingkun Li links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2003184
2 2006173
3 200382
4 202276
5 200636
6 200622
7 202219
8 20039
9 20058
10 20175
11
Region Growing Using Online Learning.
20035
12
DUK - A Fast and Efficient Kmer Matching Tool
20115
13 20233
14
A Study of Workload Distribution and COI-based Storage Policies
20152
15 20251
16 20251

About Mingkun Li

Mingkun Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Molecular Biology, having authored 16 papers that have together received 631 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Face and Expression Recognition (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Image Retrieval and Classification Techniques (3 papers), Machine Learning and Algorithms (2 papers), Machine Learning and Data Classification (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (446 citations), Artificial Intelligence (282 citations), Signal Processing (91 citations), Media Technology (46 citations) and Experimental and Cognitive Psychology (21 citations). Mingkun Li has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Ishwar K. Sethi, Nevenka Dimitrova, Dongge Li, Chun-Guang Li, Jun Guo, He Sun, Alex Copeland, Shaojun Wang, Ning Ma and Cuneyt M. Taskiran. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Image Processing, Scientific Reports, IEEE Wireless Communications Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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