Speech depression recognition based on attentional residual network

Article Properties
Cite
Lu, Xiaoyong, et al. “Speech Depression Recognition Based on Attentional Residual Network”. Frontiers in Bioscience-Landmark, vol. 26, no. 12, 2021, pp. 1746-59, https://doi.org/10.52586/5066.
Lu, X., Shi, D., Liu, Y., & Yuan, J. (2021). Speech depression recognition based on attentional residual network. Frontiers in Bioscience-Landmark, 26(12), 1746-1759. https://doi.org/10.52586/5066
Lu X, Shi D, Liu Y, Yuan J. Speech depression recognition based on attentional residual network. Frontiers in Bioscience-Landmark. 2021;26(12):1746-59.
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Biology (General)
Science
Biology (General)
Cytology
Science
Chemistry
Organic chemistry
Biochemistry
Citations
Title Journal Journal Categories Citations Publication Date
Depression detection using cascaded attention based deep learning framework using speech data Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
Additive Cross-Modal Attention Network (ACMA) for Depression Detection Based on Audio and Textual Features IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
 2024
Use of Transcriptome Sequencing to Analyze the Effects of Different Doses of an Astragalus-Rhubarb-Saffron Mixture in Mice with Diabetic Kidney Disease Diabetes, Metabolic Syndrome and Obesity
  • Medicine: Internal medicine: Specialties of internal medicine
  • Medicine: Internal medicine: Specialties of internal medicine: Diseases of the endocrine glands. Clinical endocrinology
  • Medicine: Medicine (General)
 2024
Recent Progress in Phage‐Based Nanoplatforms for Tumor Therapy

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  • Science: Chemistry: General. Including alchemy
  • Science: Chemistry: Physical and theoretical chemistry
  • Technology: Chemical technology
  • Science: Chemistry
  • Science: Physics
  • Science: Physics
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
 1 2023
A classification model for detection of ductal carcinoma in situ by Fourier transform infrared spectroscopy based on deep structured semantic model Analytica Chimica Acta
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
 1 2023
Citations Analysis
Category Category Repetition
Science: Science (General): Cybernetics: Information theory3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science3
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry2
Science: Chemistry2
Science: Physics2
Science: Biology (General)2
Medicine: Medicine (General)2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Technology: Electrical engineering. Electronics. Nuclear engineering1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Medicine: Therapeutics. Pharmacology1
Medicine: Public aspects of medicine: Toxicology. Poisons1
Science: Chemistry: General. Including alchemy1
Science: Chemistry: Physical and theoretical chemistry1
Technology: Chemical technology1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Medicine: Internal medicine: Special situations and conditions: Arctic medicine. Tropical medicine1
Science: Astronomy: Astrophysics1
Science: Chemistry: Analytical chemistry1
Medicine: Internal medicine: Specialties of internal medicine1
Medicine: Internal medicine: Specialties of internal medicine: Diseases of the endocrine glands. Clinical endocrinology1
Science: Chemistry: Organic chemistry: Biochemistry1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
The category Science: Science (General): Cybernetics: Information theory 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Antidepressant and anti-nociceptive effects of Nigella sativa and its main constituent, thymoquinone: A literature review and was published in 2022. The most recent citation comes from a 2024 study titled Use of Transcriptome Sequencing to Analyze the Effects of Different Doses of an Astragalus-Rhubarb-Saffron Mixture in Mice with Diabetic Kidney Disease. This article reached its peak citation in 2023, with 5 citations. It has been cited in 11 different journals, 63% of which are open access. Among related journals, the Multimedia Tools and Applications cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year