Liu Jiang

599 citations
19 papers · 346 · h-index 8

Impact in

Papers in

Liu Jiang

17 papers receiving 331 citations

Peers

Liu Jiang
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 132
  • Management Science and Operations Research 78
  • Artificial Intelligence 128
  • Computer Science Applications 17
  • Finance 29
Replace Masoud Makrehchi with:
Masoud Makrehchi Canada
Parus Khuwaja Pakistan
Manoj Jayabalan Malaysia
Jiaqi Chen China
Waddah Saeed Norway
James Jordon United Kingdom
Meizi Li China
Pradeepta Kumar Sarangi India
V. Mahalakshmi India
Marco Fisichella Germany
Liu Jiang relative to Masoud Makrehchi Canada Masoud Makrehchi's profile →
Citations per field
00.5×2.9×
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 201995
2 201859
3 201856
4 201834
5 201832
6 201719
7 201814
8 201512
9 20206
10 20106
11 20134
12
Document image skew detection based on mathematical morphology
20082
13 20052
14 20201
15 20241
16 20201
17 20111
18 20181
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 346 indexed citations. Recurring topics across this work include Image Processing and 3D Reconstruction (3 papers), Image and Object Detection Techniques (3 papers), Data Visualization and Analytics (3 papers), Multimodal Machine Learning Applications (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Visual Attention and Saliency Detection (2 papers), Stock Market Forecasting Methods (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (132 citations), Management Science and Operations Research (78 citations), Artificial Intelligence (128 citations), Computer Science Applications (17 citations) and Finance (29 citations). Liu Jiang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shi‐Xia Liu, Feng Zhou, Didier Sornette, Changjian Chen, Jie Zhou, Fangxin Ouyang, Jianjiang Feng, Jiwen Lu, Daniel A. Keim and Mennatallah El‐Assady. Their work appears in journals such as Information Sciences, Computers in Biology and Medicine, Visual Informatics, IEEE Transactions on Visualization and Computer Graphics and IEEE Journal of Biomedical and Health Informatics.

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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