Si Li

915 citations
66 papers · 498 · h-index 13

Impact in

Papers in

    • Topic Modeling 26
    • Natural Language Processing Techniques 22
    • Advanced Text Analysis Techniques 6
    • Text and Document Classification Technologies 5
    • Image Enhancement Techniques 10
    • Advanced Vision and Imaging 7
    • Multimodal Machine Learning Applications 6
    • Image Retrieval and Classification Techniques 5

Si Li

59 papers receiving 471 citations

Peers

Si Li
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 171
  • Computer Graphics and Computer-Aided Design 28
  • Artificial Intelligence 255
  • Media Technology 27
  • Health Information Management 13
Replace Daniel Vaquero with:
Daniel Vaquero United States
Eng Kiong Wong Malaysia
Stanislav Klimenko Russia
Christoph Schulz Germany
Fang Cao China
Lam Tran United States
Rik Das India
Zhiying Liu China
Sandro Schönborn Switzerland
Si Li relative to Daniel Vaquero United States Daniel Vaquero's profile →
Citations per field
00.5×5.9×
Daniel Vaquero · 1×
Citations per year

Countries citing papers authored by Si Li

Since Specialization
Citations

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

Fields of papers citing papers by Si Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201879
2 201743
3 202029
4
Reflection Separation using a Pair of Unpolarized and Polarized Images
201924
5 201821
6 202115
7 201815
8 202214
9 202314
10 202214
11 202014
12 201913
13 201813
14 201812
15 202211
16 201710
17 20229
18
Sketch the storyline with CHARCOAL: a non-parametric approach
20159
19 20229
20 20178

About Si Li

Si Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Biomedical Engineering and Cognitive Neuroscience, having authored 66 papers that have together received 498 indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Natural Language Processing Techniques (22 papers), Image Enhancement Techniques (10 papers), Advanced Vision and Imaging (7 papers), Multimodal Machine Learning Applications (6 papers), Advanced Text Analysis Techniques (6 papers), Text and Document Classification Technologies (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Computer Graphics and Computer-Aided Design (28 citations), Artificial Intelligence (255 citations), Media Technology (27 citations) and Health Information Management (13 citations). Si Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Sheng Gao, Boxin Shi, Weiran Xu, Chenliang Li, Guang Chen, Zhiqing Lin, Weijie Bian, Yang Zhao, Marc Pollefeys and Zhaopeng Cui. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access, Theory and applications of categories, IEEE/ACM Transactions on Audio Speech and Language Processing and IEEE Transactions on Image Processing.

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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