Yi Cai

4.3k citations
170 papers · 2.8k indexed · 1 hit paper · h-index 24

Impact in

Papers in

    • Topic Modeling 60
    • Natural Language Processing Techniques 32
    • Advanced Text Analysis Techniques 28
    • Text and Document Classification Technologies 21
    • Sentiment Analysis and Opinion Mining 16
    • Domain Adaptation and Few-Shot Learning 14
    • Multimodal Machine Learning Applications 33
    • Advanced Image and Video Retrieval Techniques 17

Yi Cai

151 papers receiving 2.7k citations

Hit Papers

Strength and mechanical behavior of short polypropylene fiber reinforced and cement stabilized clayey soil 2006 · 737 citations
7372006202620122019200400600

Peers

Yi Cai
Comparison fields: 5 of 143
  • Civil and Structural Engineering 1.1k
  • Industrial and Manufacturing Engineering 343
  • Artificial Intelligence 1.1k
  • Building and Construction 320
  • Computer Vision and Pattern Recognition 471
Replace Abdullah Mohamed with:
Abdullah Mohamed Egypt
Lazaros Iliadis Greece
Juan F. De Paz Spain
S. Sumathi India
Zhen Yang China
Christine Dewi Indonesia
Chunyang Su China
Yi Lin China
Feng Wang China
Niels Landwehr Germany
Yi Cai relative to Abdullah Mohamed Egypt Abdullah Mohamed's profile →
Citations per field
00.5×50×100×150×214×
Abdullah Mohamed · 1×
Citations per year

Countries citing papers authored by Yi Cai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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16 202029
17 20200
18 201984
19 20197
20 20181

About Yi Cai

Yi Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Microbiology, Information Systems and Computer Graphics and Computer-Aided Design, having authored 170 papers that have together received 2.8k indexed citations. Recurring topics across this work include Topic Modeling (60 papers), Multimodal Machine Learning Applications (33 papers), Natural Language Processing Techniques (32 papers), Advanced Text Analysis Techniques (28 papers), Text and Document Classification Technologies (21 papers), Advanced Image and Video Retrieval Techniques (17 papers), Sentiment Analysis and Opinion Mining (16 papers) and Domain Adaptation and Few-Shot Learning (14 papers). The work is most often cited by research in Civil and Structural Engineering (1.1k citations), Industrial and Manufacturing Engineering (343 citations), Artificial Intelligence (1.1k citations), Building and Construction (320 citations) and Computer Vision and Pattern Recognition (471 citations). Yi Cai has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Bin Shi, Chao‐Sheng Tang, Qing Li, Fengjun Chen, Ho-fung Leung, Charles W.W. Ng, Changmeng Zheng, Huaqing Min, Tao Wang and Jingyun Xu. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE/ACM Transactions on Audio Speech and Language Processing, Knowledge-Based Systems, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Affective Computing.

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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