Cheng Fan

Active 1989–2026

Also published as
Cheng, Fan · CHENG, Fan
276
Papers
24,085
Citations
74
h-index
200
i10-index

Citations

Citations per year for Cheng Fan1977: 1 citations1986: 1 citations1994: 2 citations1998: 1 citations2002: 1 citations2004: 1 citations2005: 3 citations2006: 21 citations2007: 99 citations2008: 193 citations2009: 191 citations2010: 262 citations2011: 288 citations2012: 266 citations2013: 263 citations2014: 240 citations2015: 233 citations2016: 214 citations2017: 254 citations2018: 351 citations2019: 768 citations2020: 823 citations2021: 895 citations2022: 752 citations2023: 672 citations2024: 1,090 citations2025: 663 citations2026: 61 citations1978–1985: no citations, so these years are not shown1987–1993: no citations, so these years are not shown1995–1997: no citations, so these years are not shown1999–2001: no citations, so these years are not shown2003: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,689 citing papers, 24.2% of this breakdownChina: 2,189 citing papers, 19.7% of this breakdownUnited Kingdom: 602 citing papers, 5.4% of this breakdownItaly: 442 citing papers, 4% of this breakdownCanada: 391 citing papers, 3.5% of this breakdownGermany: 391 citing papers, 3.5% of this breakdownAustralia: 309 citing papers, 2.8% of this breakdownSpain: 296 citing papers, 2.7% of this breakdownFrance: 293 citing papers, 2.6% of this breakdownSouth Korea: 252 citing papers, 2.3% of this breakdownNetherlands: 229 citing papers, 2% of this breakdownIndia: 228 citing papers, 2% of this breakdown
0%24.2%Other 25.3%

Fields

  • Biochemistry, Genetics and Molecular Biology37.6%
  • Medicine34.3%
  • Engineering10.9%
  • Computer Science6.3%
  • Immunology and Microbiology2.4%
  • Environmental Science2.3%
  • Other6.2%

Topics

  • Breast Cancer Treatment Studies4%
  • Cancer Cells and Metastasis3.5%
  • Cancer Genomics and Diagnostics2.7%
  • Cancer Immunotherapy and Biomarkers2.2%
  • Radiomics and Machine Learning in Medical Imaging2.1%
  • Gene expression and cancer classification2%
  • Other83.5%

Coauthors

All papers

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  1. A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data

    Authors: , , , , - Frontiers in Energy Research 2021 cited by 428

  2. Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer

    Authors: , , , , , , , - Breast Cancer Research 2010 cited by 2,135

  3. MRE11 liberates cGAS from nucleosome sequestration during tumorigenesis

    Authors: , , , , , , , , , , , , , , , , , , , , - Nature 2024 cited by 121

  4. LKB1 modulates lung cancer differentiation and metastasis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Diego H. Castrillón, Nabeel Bardeesy, Norman E. Sharpless, Kwok‐Kin Wong - Nature 2007 cited by 1,079

  5. A short-term building cooling load prediction method using deep learning algorithms

    Authors: , , - Applied Energy 2017 cited by 676

  6. Exosomal miR-21 from tubular cells contributes to renal fibrosis by activating fibroblasts via targeting PTEN in obstructed kidneys

    Authors: , , , , , , , , , , , , - Theranostics 2021 cited by 169

  7. Immune-Related Gene Expression Profiling After PD-1 Blockade in Non–Small Cell Lung Carcinoma, Head and Neck Squamous Cell Carcinoma, and Melanoma

    Authors: , , , , , , , , , , , , , , , , , , , - Cancer Research 2017 cited by 477

  8. CALGB 40603 (Alliance): Long-Term Outcomes and Genomic Correlates of Response and Survival After Neoadjuvant Chemotherapy With or Without Carboplatin and Bevacizumab in Triple-Negative Breast Cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , William M. Sikov - Journal of Clinical Oncology 2022 cited by 151

  9. Multiomics in primary and metastatic breast tumors from the AURORA US network finds microenvironment and epigenetic drivers of metastasis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Julie M. Gastier‐Foster, Mothaffar F. Rimawi, Rita Nanda, Nancy U. Lin, Claudine Isaacs, P. Kelly Marcom, Anna Maria Storniolo, Fergus J. Couch, Uma Chandran, Michael A. Davis, Jonathan C. Silverstein, Alexander J. Ropelewski, Minetta C. Liu, Susan G. Hilsenbeck, Larry Norton, Andrea L. Richardson, W. Fraser Symmans, Antonio C. Wolff, Nancy E. Davidson, Lisa A. Carey, Adrian V. Lee, Justin M. Balko, Katherine A. Hoadley, Peter W. Laird, Elaine R. Mardis, Tari A. King, AURORA US Network, Aguirre A. de Cubas, Charles M. Perou - Nature Cancer 2022 cited by 114

  10. Attention-based interpretable neural network for building cooling load prediction

    Authors: , , , - Applied Energy 2021 cited by 219

  11. HO‐1 Contributes to Luteolin‐Triggered Ferroptosis in Clear Cell Renal Cell Carcinoma via Increasing the Labile Iron Pool and Promoting Lipid Peroxidation

    Authors: , , , , , , , , , , , , , - Oxidative Medicine and Cellular Longevity 2022 cited by 93

  12. Histone H3K27 methyltransferase EZH2 regulates apoptotic and inflammatory responses in sepsis-induced AKI

    Authors: , , , , , , , , , , , , , , - Theranostics 2023 cited by 99

  13. Assessment of deep recurrent neural network-based strategies for short-term building energy predictions

    Authors: , , , - Applied Energy 2018 cited by 358

  14. Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data

    Authors: , , , - Applied Energy 2017 cited by 280

  15. Deep learning-based feature engineering methods for improved building energy prediction

    Authors: , , , , - Applied Energy 2019 cited by 291

  16. Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

    Authors: , , , , , , , , , , , , , , , - npj Breast Cancer 2016 cited by 359

  17. Patient-Derived Triple-Negative Breast Cancer Organoids Provide Robust Model Systems That Recapitulate Tumor Intrinsic Characteristics

    Authors: , , , , , , , , , , , , , , , , , - Cancer Research 2022 cited by 89

  18. Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

    Authors: , , - Applied Energy 2014 cited by 560

  19. An integrated genomics approach identifies drivers of proliferation in luminal-subtype human breast cancer

    Authors: , , , , - Nature Genetics 2014 cited by 266

  20. The SOX4/EZH2/SLC7A11 signaling axis mediates ferroptosis in calcium oxalate crystal deposition-induced kidney injury

    Authors: , , , , , , , , , , , , , , , - Journal of Translational Medicine 2024 cited by 53

  21. MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

    Authors: , , , , , , , , , , , , , , , - Radiology 2016 cited by 468

  22. Statistical investigations of transfer learning-based methodology for short-term building energy predictions

    Authors: , , , , , , - Applied Energy 2020 cited by 229

  23. Tubular cell-derived exosomal miR-150-5p contributes to renal fibrosis following unilateral ischemia-reperfusion injury by activating fibroblast in vitro and in vivo

    Authors: , , , , , , , , , , , , , - International Journal of Biological Sciences 2021 cited by 76

  24. VHL substrate transcription factor ZHX2 as an oncogenic driver in clear cell renal cell carcinoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , William G. Kaelin, Albert S. Baldwin, Qing Zhang - Science 2018 cited by 221