Xiaoli Hao

783 citations
49 papers · 606 · h-index 14

Impact in

Papers in

    • Advanced Neural Network Applications 11
    • Advanced Image and Video Retrieval Techniques 8
    • Video Surveillance and Tracking Methods 8
    • Face and Expression Recognition 5
    • Handwritten Text Recognition Techniques 4
    • Advanced Vision and Imaging 4
    • Vehicle License Plate Recognition 3

Xiaoli Hao

45 papers receiving 581 citations

Peers

Xiaoli Hao
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 379
  • Media Technology 151
  • Automotive Engineering 65
  • Industrial and Manufacturing Engineering 49
  • Geology 19
Replace Csaba Beleznai with:
Csaba Beleznai Austria
Giuseppe Riccardo Leone Italy
Zhongli Wang China
Jianguo Hu China
Ahmed Gomaa Egypt
Jun‐Wei Hsieh Taiwan
Jiaming Zhang Germany
Hao Fang China
Weixun Zuo Hong Kong
Haiyun Guo China
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoli Hao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoli Hao, 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 Xiaoli Hao Line = papers co-authored together Xiaoli Hao 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 201474
2 201971
3 201542
4 201939
5 201437
6 201837
7 201737
8 202232
9 201322
10 202421
11 201220
12 201615
13 201315
14 200913
15 201712
16 200611
17 201110
18 201610
19 201010
20 20198

About Xiaoli Hao

Xiaoli Hao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 49 papers that have together received 606 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Video Surveillance and Tracking Methods (8 papers), Face and Expression Recognition (5 papers), Handwritten Text Recognition Techniques (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Advanced Vision and Imaging (4 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (379 citations), Media Technology (151 citations), Automotive Engineering (65 citations), Industrial and Manufacturing Engineering (49 citations) and Geology (19 citations). Xiaoli Hao has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Houjin Chen, Xue Yuan, Ya-Li Hou, Xueye Wei, Huan Liang, Yan Shen, Yangyang Ye, Zhaoxiang Zhang, Chi Zhang and Jiaqi Guo. Their work appears in journals such as IEEE Access, IEEE Transactions on Systems Man and Cybernetics Systems, Vehicle System Dynamics, Measurement and Molecules.

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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