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Feixiong Cheng

Active 2010–2026

190
Papers
23,508
Citations
77
h-index
170
i10-index

Citations

Citations per year for Feixiong Cheng1875: 1 citations1972: 1 citations1973: 1 citations1975: 1 citations1984: 1 citations1991: 1 citations1999: 1 citations2000: 1 citations2001: 1 citations2005: 1 citations2006: 1 citations2007: 5 citations2008: 2 citations2009: 2 citations2010: 10 citations2011: 10 citations2012: 45 citations2013: 100 citations2014: 90 citations2015: 174 citations2016: 242 citations2017: 300 citations2018: 365 citations2019: 719 citations2020: 1,511 citations2021: 1,859 citations2022: 1,447 citations2023: 1,147 citations2024: 1,763 citations2025: 1,408 citations2026: 179 citations1876–1971: no citations, so these years are not shown1974: no citations, so this year is not shown1976–1983: no citations, so these years are not shown1985–1990: no citations, so these years are not shown1992–1998: no citations, so these years are not shown2002–2004: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,051 citing papers, 22.8% of this breakdownUnited States: 2,415 citing papers, 18% of this breakdownIndia: 843 citing papers, 6.3% of this breakdownUnited Kingdom: 548 citing papers, 4.1% of this breakdownItaly: 422 citing papers, 3.1% of this breakdownGermany: 380 citing papers, 2.8% of this breakdownSouth Korea: 323 citing papers, 2.4% of this breakdownCanada: 299 citing papers, 2.2% of this breakdownSaudi Arabia: 244 citing papers, 1.8% of this breakdownSpain: 241 citing papers, 1.8% of this breakdownFrance: 238 citing papers, 1.8% of this breakdownAustralia: 223 citing papers, 1.7% of this breakdown
0%22.8%Other 31.2%

Institutions

Fields

  • Computer Science33.5%
  • Medicine27.9%
  • Biochemistry, Genetics and Molecular Biology25.3%
  • Neuroscience2.5%
  • Immunology and Microbiology1.8%
  • Pharmacology, Toxicology and Pharmaceutics1.8%
  • Other7.2%

Topics

  • Computational Drug Discovery Methods13.7%
  • Bioinformatics and Genomic Networks5.4%
  • SARS-CoV-2 and COVID-19 Research2.7%
  • Machine Learning in Bioinformatics2.2%
  • COVID-19 Clinical Research Studies2%
  • Machine Learning in Materials Science1.9%
  • Other72.1%

Coauthors

All papers

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  1. Multimodal machine learning in precision health: A scoping review

    Authors: Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo - npj Digital Medicine, npj Digit. Medicine 2022 cited by 455

  2. Alzheimer's disease drug development pipeline: 2023

    Authors: Jeffrey L. Cummings, Yadi Zhou, Garam Lee, Kate Zhong, Jorge Ramón Fonseca Cacho, Feixiong Cheng - Alzheimer s & Dementia Translational Research & Clinical Interventions 2023 cited by 466

  3. admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties

    Authors: Feixiong Cheng, Weihua Li, Yadi Zhou, Jie Shen, Zengrui Wu, Guixia Liu, Philip W. Lee, Yun Tang - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2012 cited by 2,214

  4. Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework

    Authors: Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng - Nature Machine Intelligence, Nat. Mac. Intell. 2022 cited by 268

  5. Network-based prediction of drug combinations

    Authors: Feixiong Cheng, I. Kovács, Albert-Ĺaszló Barabási - Nature Communications 2019 cited by 873

  6. Deep generative molecular design reshapes drug discovery

    Authors: Xiangxiang Zeng, Fei Wang, Yuan Luo, Seung-Gu Kang, Jian Tang, Felice C. Lightstone, Evandro Fei Fang, Wendy D. Cornell, Ruth Nussinov, Feixiong Cheng - Cell Reports Medicine 2022 cited by 282

  7. deepDR: a network-based deep learning approach to in silico drug repositioning

    Authors: Xiangxiang Zeng, Siyi Zhu, Xiangrong Liu, Yadi Zhou, Ruth Nussinov, Feixiong Cheng - Bioinformatics, Bioinform. 2019 cited by 522

  8. Alzheimer's disease drug development pipeline: 2024

    Authors: Jeffrey L. Cummings, Yadi Zhou, Garam Lee, Kate Zhong, Jorge Ramón Fonseca Cacho, Feixiong Cheng - Alzheimer s & Dementia Translational Research & Clinical Interventions 2024 cited by 292

  9. Suppression of the SLC7A11/glutathione axis causes synthetic lethality in KRAS-mutant lung adenocarcinoma

    Authors: Kewen Hu, Kun Li, Jing Lv, Jie Feng, Jing Chen, Haigang Wu, Feixiong Cheng, Wenhao Jiang, Jieqiong Wang, Haixiang Pei, Paul J. Chiao, Zhenyu Cai, Yihua Chen, Mingyao Liu, Xiufeng Pang - Journal of Clinical Investigation 2019 cited by 397

  10. Target identification among known drugs by deep learning from heterogeneous networks

    Authors: Xiangxiang Zeng, Siyi Zhu, Weiqiang Lü, Zehui Liu, Jin Huang, Yadi Zhou, Jiansong Fang, Yin Huang, Huimin Guo, Lang Li, Bruce D. Trapp, Ruth Nussinov, Charis Eng, Joseph Loscalzo, Feixiong Cheng - Chemical Science 2020 cited by 350

  11. GAP43-dependent mitochondria transfer from astrocytes enhances glioblastoma tumorigenicity

    Authors: Dionysios C. Watson, Defne Bayık, Simon Storevik, Shannon Sherwin Moreino, Samuel A. Sprowls, Jianhua Han, Mina Thue Augustsson, Adam Lauko, Sravya Palavalasa, Gro Vatne Røsland, Katie Troike, Karl Johan Tronstad, Sabrina Wang, Katharina Sarnow, Kristen Kay, Taral R. Lunavat, Daniel J. Silver, Sahil Dayal, Justin V. Joseph, Erin E. Mulkearns-Hubert, Lars Ystaas, Gauravi Deshpande, Joris Guyon, Yadi Zhou, Capucine Magaut, Juliana Seder, Laura Neises, Sarah Williford, Johannes Meiser, Andrew J. Scott, Peter Sajjakulnukit, Jason A. Mears, Rolf Bjerkvig, Abhishek A. Chakraborty, Thomas Daubon, Feixiong Cheng, Costas A. Lyssiotis, Daniel Wahl, Anita B. Hjelmeland, Jubayer A. Hossain, Hrvoje Miletić, Justin D. Lathia - Nature Cancer 2023 cited by 215

  12. Artificial intelligence in COVID-19 drug repurposing

    Authors: Yadi Zhou, Fei Wang, Jian Tang, Ruth Nussinov, Feixiong Cheng - The Lancet Digital Health 2020 cited by 641

  13. Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2

    Authors: Yadi Zhou, Yuan Hou, Jiayu Shen, Yin Huang, William R. Martin, Feixiong Cheng - Cell Discovery 2020 cited by 1,720

  14. Network-based approach to prediction and population-based validation of in silico drug repurposing

    Authors: Feixiong Cheng, Rishi Desai, Diane E. Handy, Rui‐Sheng Wang, Sebastian Schneeweiß, Albert-Ĺaszló Barabási, Joseph Loscalzo - Nature Communications 2018 cited by 568

  15. Comprehensive characterization of protein–protein interactions perturbed by disease mutations

    Authors: Feixiong Cheng, Junfei Zhao, Yang Wang, Weiqiang Lü, Zehui Liu, Yadi Zhou, William R. Martin, Rui‐Sheng Wang, Jin Huang, Tong Hao, Hong Yue, Jing Ma, Yuan Hou, Jessica A. Castrillon, Jiansong Fang, Justin D. Lathia, Ruth A. Keri, Felice C. Lightstone, Elliott M. Antman, Raúl Rabadán, David E. Hill, Charis Eng, Marc Vidal, Joseph Loscalzo - Nature Genetics 2021 cited by 248

  16. Deep learning for drug repurposing: methods, databases, and applications

    Authors: Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng - Wiley Interdisciplinary Reviews Computational Molecular Science 2022 cited by 175

  17. Reducing acetylated tau is neuroprotective in brain injury

    Authors: Min-Kyoo Shin, Edwin Vázquez‐Rosa, Yeojung Koh, Matasha Dhar, Kalyani Chaubey, Coral J. Cintrón-Pérez, Sarah Barker, Emiko Miller, Kathryn Franke, Maria Noterman, Divya Seth, Rachael S Allen, Cara Motz, Sriganesh Ramachandra Rao, Lara A. Skelton, Machelle T. Pardue, Steven J. Fliesler, Chao Wang, Tara E. Tracy, Li Gan, Daniel J. Liebl, Jude P. J. Savarraj, Glenda Torres, Hilda Ahnstedt, Louise D. McCullough, Ryan S. Kitagawa, H. Alex Choi, Pengyue Zhang, Yuan Hou, ChienWei Chiang, Lang Li, Francisco Ortiz, Jessica A. Kilgore, Noelle S. Williams, Victoria C. Whitehair, Tamar Gefen, Margaret E. Flanagan, Jonathan S. Stamler, Mukesh K. Jain, Allison Kraus, Feixiong Cheng, James D. Reynolds, Andrew A. Pieper - Cell 2021 cited by 225

  18. Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

    Authors: Feixiong Cheng, Chuang Liu, Jing Jiang, Weiqiang Lu, Weihua Li, Guixia Liu, Wei-Xing Zhou, Jin Huang, Yun Tang - PLoS Computational Biology, PLoS Comput. Biol. 2012 cited by 837

  19. SoNar, a Highly Responsive NAD+/NADH Sensor, Allows High-Throughput Metabolic Screening of Anti-tumor Agents

    Authors: Yuzheng Zhao, Qingxun Hu, Feixiong Cheng, Ni Su, Aoxue Wang, Yejun Zou, Hanyang Hu, Xianjun Chen, Hai‐Meng Zhou, Xinzhi Huang, Kai Yang, Qian Zhu, Xue Wang, Jing Yi, Linyong Zhu, Xuhong Qian, Lixin Chen, Yun Tang, Joseph Loscalzo, Yi Yang - Cell Metabolism 2015 cited by 431

  20. Machine learning-based prediction of drug–drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties

    Authors: Feixiong Cheng, Zhongming Zhao - Journal of the American Medical Informatics Association 2014 cited by 382

  21. Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer’s disease

    Authors: Jielin Xu, Chengsheng Mao, Yuan Hou, Yuan Luo, Jessica Binder, Yadi Zhou, Lynn M. Bekris, Jiyoung Shin, Ming Hu, Fei Wang, Charis Eng, Tudor I. Oprea, Margaret E. Flanagan, Andrew A. Pieper, Jeffrey L. Cummings, James B. Leverenz, Feixiong Cheng - Cell Reports 2022 cited by 104

  22. In silico Prediction of Chemical Ames Mutagenicity

    Authors: Congying Xu, Feixiong Cheng, Lei Chen, Zheng Du, Weihua Li, Guixia Liu, Philip W. Lee, Yun Tang - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2012 cited by 272

  23. Computational network biology: Data, models, and applications

    Authors: Chuang Liu, Yifang Ma, Jing Zhao, Ruth Nussinov, Yi‐Cheng Zhang, Feixiong Cheng, Zi‐Ke Zhang - Physics Reports 2019 cited by 234

  24. Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data

    Authors: Junlin Xu, Jielin Xu, Yajie Meng, Changcheng Lu, Lijun Cai, Xiangxiang Zeng, Ruth Nussinov, Feixiong Cheng - Cell Reports Methods 2023 cited by 95