Bin Liu

5.8k citations
162 papers · 2.6k indexed · 2 hit papers · h-index 26

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Polymer-Based Agricultural Enhancements
    • Wireless Body Area Networks
    • Molecular Communication and Nanonetworks

Papers in

Bin Liu

149 papers receiving 2.5k citations

Hit Papers

MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection 2024 · 91 citations
91202020262022202450100150200250

Peers

Bin Liu
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 1.1k
  • Biomedical Engineering 733
  • Media Technology 144
  • Computer Networks and Communications 351
  • Human-Computer Interaction 77
Replace Yang Li with:
Yang Li China
Hongrui Wang China
Joon Huang Chuah Malaysia
Md. Rashedul Islam Bangladesh
Sheroz Khan Malaysia
Yuxiang Sun China
Shabana Urooj India
Xiaoyun Zhang China
Eng Gee Lim China
Bin Liu relative to Yang Li China Yang Li's profile →
Citations per field
00.5×3.3×
Yang Li · 1×
Citations per year

Countries citing papers authored by Bin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20252
3
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection
Hit paper breakdown →
202491
4 20246
5 20242
6 20246
7 20240
8 20232
9 202312
10 202326
11 202310
12 202112
13 202115
14 202138
15 20192
16 201925
17 201830
18 201828
19 20105
20 201016

About Bin Liu

Bin Liu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 162 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (31 papers), Video Surveillance and Tracking Methods (28 papers), Advanced Neural Network Applications (21 papers), Wireless Body Area Networks (12 papers), Face recognition and analysis (11 papers), Human Pose and Action Recognition (10 papers), Hand Gesture Recognition Systems (10 papers) and Energy Harvesting in Wireless Networks (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Biomedical Engineering (733 citations), Media Technology (144 citations), Computer Networks and Communications (351 citations) and Human-Computer Interaction (77 citations). Bin Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Nenghai Yu, Qi Chu, Chang Wen Chen, Zhengyan Wu, Guilong Zhang, Chao‐Wen Chen, Yue Wu, Dongqing Cai, Zhiqiang Liu and Baopu Li. Their work appears in journals such as IEEE Access, IEEE Transactions on Mobile Computing, IEEE Transactions on Image Processing, Neurocomputing 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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