ArticleBrain sciences2026
ICTD: Combination of Improved CNN-Transformer and Enhanced Deep Canonical Correlation Analysis for Eye-Movement Emotion Classification.
Cong Zhang, Xisheng Li, Jiannan Chi, Ming Cao, Qingfeng Gu, Jiahui Liu
Abstract read
In one paragraphArticle in Brain sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
6 authors.
Cong ZhangSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0009-0006-1743-6830 Xisheng LiSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Jiannan ChiSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Ming CaoSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0009-0009-0092-8443 Qingfeng GuSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Jiahui LiuSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Funding
Foundation of Engineering Research Center of Intelligence Perception and Autonomous Control, Ministry of Education, China. withoutFundamental Research Funds for the Central Universities FRF-TP-24-062AGuangdong Basic and Applied Basic Research Foundation 2022A1515140016Guangdong Basic and Applied Basic Research Foundation 2023A1515140086National Science Foundation for Young Scholars of China 62206016the State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology DMETKF2021023"Vice President of Science and Technology" of Changping District, Beijing 2025040040042
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
CNN-transformeremotion classificationeye-movementICTDincremental feature feedforward network
Identifiers
PMID41892673
PMCPMC13025195
What Socratic holds
Textmetadata
LicenceCC BY
Read underepoch 390