Zheng Jing

The share of this author’s assessed papers carrying a ⚑ flag. A concentration is a prompt for expert review — never, on its own, a determination about the person.

Collaborators, sized by shared output and coloured by their own reproducibility (green = high, red = low). Click a node to open their card. A pattern is a prompt for review, never a determination.

How this author’s assessed papers reproduced — the outcome of reproduction attempts, not a judgement of the person. Coverage is partial and grows over time.

Assessed papers (1)

• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
  2021 L1 84/100

1 assessed by us (1 reproduced) · 27 not yet assessed — every PubMed paper on record, linked below.

• An emotion recognition method based on frequency-domain features of PPG ↗

  Frontiers in Physiology · 2025 · PMID 40070463
  not yet assessed
• Terahertz image super-resolution restoration using a hybrid-Transformer-based generative adversarial network ↗

  Optics and Lasers in Engineering · 2025
  not yet assessed
• Birdsongs and audio‐guided mindful breathing: Comparable sadness‐reducing effects in the lab ↗

  Applied Psychology Health and Well-Being · 2025 · PMID 40984707
  not yet assessed
• Psychophysiological effects of music on sadness in participants with and without depressive symptoms ↗

  BMC Complementary Medicine and Therapies · 2025 · PMID 40011873
  not yet assessed
• Adding highly variable genes to spatially variable genes can improve cell type clustering performance in spatial transcriptomics data ↗

  Bioinformatics Advances · 2025 · PMID 41550256
  not yet assessed
• The relationship between heart rate variability and baseline state anxiety during stress and recovery ↗

  BMC Psychology · 2025 · PMID 41413923
  not yet assessed
• HisToSpatialCNV inferred CNV data ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2025
  not yet assessed
• HisToSpatialCNV inferred CNV data ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2025
  not yet assessed
• Microplastic pollution differences in freshwater river according to stream order: Insights from spatial distribution, annual load, and ecological assessment ↗

  Journal of Environmental Management · 2024 · PMID 39018841
  not yet assessed
• Microplastic Pollution Differences in Freshwater River According to Stream Order: Insights from Spatial Distribution, Riverine Outflows, and Ecological Assessment ↗

  SSRN Electronic Journal · 2024
  not yet assessed
• Adding Highly Variable Genes to Spatially Variable Genes Can Improve Cell Type Clustering Performance in Spatial Transcriptomics Data ↗

  Research Square · 2024 · PMID 39502778
  not yet assessed
• Research on tracking of moving objects based on depth feature detection ↗

  International Journal of Computational Science and Engineering · 2023
  not yet assessed
• Research on tracking of moving objects based on depth feature detection ↗

  International Journal of Computational Science and Engineering · 2023
  not yet assessed
• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data

  Genome Medicine · 2021 · PMID 34261540
  L1 84/100
• Two-stage Cox-nnet: biologically interpretable neural-network model for prognosis prediction and its application in liver cancer survival using histopathology and transcriptomic data ↗

  NAR Genomics and Bioinformatics · 2021 · PMID 33778491
  not yet assessed
• Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data ↗

  Bioinformatics · 2021 · PMID 33515235
  not yet assessed
• Benchmarking Computational Integration Methods for Spatial Transcriptomics Data ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2021
  not yet assessed
• Additional file 6 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 2 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 1 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Multi-omic and survival datasets used for "DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data" ↗

  Figshare · 2021
  not yet assessed
• Additional file 5 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 8 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 3 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Temperature Significantly Change COVID-19 Transmission in 429 cities ↗

  medRxiv · 2020
  not yet assessed
• Two-stage biologically interpretable neural-network models for liver cancer prognosis prediction using histopathology and transcriptomic data ↗

  medRxiv · 2020
  not yet assessed
• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  medRxiv · 2019
  not yet assessed
• Time series analysis of weekly influenza-like illness rate using a one-year period of factors in random forest regression ↗

  BioScience Trends · 2017 · PMID 28484187
  not yet assessed