Shiru Qu

1.2k citations
67 papers · 915 · h-index 15

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Human Pose and Action Recognition
    • Autonomous Vehicle Technology and Safety

Papers in

Shiru Qu

63 papers receiving 885 citations

Peers

Shiru Qu
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 425
  • Automotive Engineering 160
  • Building and Construction 140
  • Transportation 55
  • Control and Systems Engineering 186
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Bo Dai United States
Girma Tewolde United States
Panayiotis Kolios Cyprus
Siew-Kei Lam Singapore
Sinem Çöleri Türkiye
Xiaoshan Bai China
Hamid Menouar Qatar
Adem Tuncer Türkiye
Nasser Mozayani Iran
Huansheng Song China
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Citations per field
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Citations per year

Countries citing papers authored by Shiru Qu

Since Specialization
Citations

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

Fields of papers citing papers by Shiru Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019171
2 2018102
3 202099
4 201788
5 201952
6 201548
7 202134
8 201729
9 200920
10 201019
11 202218
12 201818
13 201717
14
Path planning for Unmanned Air Vehicles using an improved artificial bee colony algorithm
201215
15 202214
16 202311
17 201811
18 201910
19 20119
20
Cooperative Lane-changing Rules on Multilane Under Condition of Cooperative Vehicle and Infrastructure System
20148

About Shiru Qu

Shiru Qu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Building and Construction, Artificial Intelligence and Aerospace Engineering, having authored 67 papers that have together received 915 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (18 papers), Traffic control and management (18 papers), Video Surveillance and Tracking Methods (10 papers), Transportation Planning and Optimization (9 papers), Autonomous Vehicle Technology and Safety (7 papers), Multimodal Machine Learning Applications (7 papers), Advanced Measurement and Detection Methods (7 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (425 citations), Automotive Engineering (160 citations), Building and Construction (140 citations), Transportation (55 citations) and Control and Systems Engineering (186 citations). Shiru Qu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Songtao Ding, Shaohua Wan, Yuling Xi, Lijing Ma, Honghong Yang, Lei Cai, Junxi Zhang, Yuan Yuan, Xin Yao and Bo Xiong. Their work appears in journals such as Neurocomputing, Mathematical Biosciences & Engineering, Frontiers in Neurorobotics, PeerJ Computer Science and Simulation Modelling Practice and Theory.

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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