Hai Liu

2.0k citations
49 papers · 1.5k · 2 hit papers · h-index 15

Impact in

Papers in

Hai Liu

44 papers receiving 1.4k citations

Hai Liu's Hit Papers

A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm 2021 · 256 citations
2560+1+3Years since publication50100150200250

Peers

Hai Liu
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 568
  • Media Technology 213
  • Computer Science Applications 97
  • Information Systems 270
  • Computational Mathematics 7
Replace Dan Yang with:
Dan Yang China
Yunfeng Zhang China
Yi Chen China
Tong Sun United States
Karthikeyan Natesan Ramamurthy United States
Rómer Rosales United States
Arto Klami Finland
Muhammad Imran Ahmad Pakistan
Ekaba Bisong Canada
Richard Jiang United Kingdom
Hai Liu relative to Dan Yang China Dan Yang's profile →
Citations per field
00.5×1.7×
Dan Yang · 1×
Citations per year

Countries citing papers authored by Hai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm
Hit paper breakdown →
2021256
2
MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation
Hit paper breakdown →
2021210
3 2019186
4 2019147
5 2020121
6 201397
7 201370
8 201647
9 202043
10 202340
11 201736
12 202031
13 201228
14 201621
15 202119
16 202013
17 201910
18 20158
19 20208
20 20215

About Hai Liu

Hai Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Computer Science Applications and Human-Computer Interaction, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (7 papers), Topic Modeling (6 papers), Image and Signal Denoising Methods (5 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Graph Neural Networks (5 papers), Advanced Image Fusion Techniques (4 papers), Online and Blended Learning (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (568 citations), Media Technology (213 citations), Computer Science Applications (97 citations), Information Systems (270 citations) and Computational Mathematics (7 citations). Hai Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhaoli Zhang, Sannyuya Liu, Luxin Yan, Houzhang Fang, Jiangbo Shu, Wen Wang, Jialei Liu, Shoulin Wei, Yi Chang and Congming Shi. Their work appears in journals such as Neurocomputing, Neural Computing and Applications, IEEE Transactions on Industrial Informatics, Expert Systems with Applications and IEEE Transactions on Multimedia.

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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