Liu Jiang

610 citations
19 papers · 360 · h-index 8

Impact in

Papers in

    • Data Visualization and Analytics 3
    • Image and Object Detection Techniques 3
    • Image Processing and 3D Reconstruction 3
    • Handwritten Text Recognition Techniques 2
    • Visual Attention and Saliency Detection 2
    • Multimodal Machine Learning Applications 2
    • Data Stream Mining Techniques 2

Liu Jiang

17 papers receiving 345 citations

Peers

Liu Jiang
Comparison fields: 5 of 90
  • Management Science and Operations Research 82
  • Computer Vision and Pattern Recognition 134
  • Artificial Intelligence 131
  • Computer Science Applications 16
  • Finance 29
Replace Masoud Makrehchi with:
Masoud Makrehchi Canada
S. Sendhilkumar India
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Marco Fisichella Germany
V. Mahalakshmi India
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Sophie Hilgard United States
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Liu Jiang relative to Masoud Makrehchi Canada Masoud Makrehchi's profile →
Citations per field
00.5×2.8×
Masoud Makrehchi · 1×
Citations per year

Countries citing papers authored by Liu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Liu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201999
2 201863
3 201856
4 201836
5 201834
6 201719
7 201815
8 201512
9 20207
10 20106
11 20134
12
Document image skew detection based on mathematical morphology
20082
13 20052
14 20181
15 20201
16 20241
17 20201
18 20111
19
Research on Knowledge Discovery System Faced in Big Data
20140

About Liu Jiang

Liu Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research, Cardiology and Cardiovascular Medicine and Surgery, having authored 19 papers that have together received 360 indexed citations. Recurring topics across this work include Data Visualization and Analytics (3 papers), Image and Object Detection Techniques (3 papers), Image Processing and 3D Reconstruction (3 papers), Handwritten Text Recognition Techniques (2 papers), Visual Attention and Saliency Detection (2 papers), Multimodal Machine Learning Applications (2 papers), Stock Market Forecasting Methods (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (82 citations), Computer Vision and Pattern Recognition (134 citations), Artificial Intelligence (131 citations), Computer Science Applications (16 citations) and Finance (29 citations). Liu Jiang has collaborated with scholars based in China, United Kingdom and Switzerland. Frequent co-authors include Didier Sornette, Feng Zhou, Zhang Qun, Changjian Chen, Daniel A. Keim, Wenwen Dou, Christopher Collins, Mennatallah El‐Assady, Xiting Wang and Fangxin Ouyang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Information Sciences, Applied Soft Computing, IEEE Journal of Biomedical and Health Informatics and Computers in Biology and Medicine.

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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