David Lo

Active 1986–2026

Also published as
David LO, · David, Lo
919
Papers
44,564
Citations
113
h-index
587
i10-index

Citations

Citations per year for David Lo1986: 5 citations1987: 12 citations1988: 21 citations1989: 57 citations1990: 80 citations1991: 55 citations1992: 58 citations1993: 50 citations1994: 41 citations1995: 60 citations1996: 78 citations1997: 100 citations1998: 101 citations1999: 170 citations2000: 193 citations2001: 157 citations2002: 146 citations2003: 143 citations2004: 103 citations2005: 128 citations2006: 139 citations2007: 113 citations2008: 166 citations2009: 156 citations2010: 150 citations2011: 217 citations2012: 260 citations2013: 458 citations2014: 684 citations2015: 852 citations2016: 1,044 citations2017: 1,246 citations2018: 1,586 citations2019: 2,066 citations2020: 2,409 citations2021: 2,897 citations2022: 2,913 citations2023: 3,061 citations2024: 3,672 citations2025: 3,565 citations2026: 1,296 citations2027: 5 citations

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,100 citing papers, 20.4% of this breakdownChina: 4,957 citing papers, 19.8% of this breakdownCanada: 1,501 citing papers, 6% of this breakdownAustralia: 1,173 citing papers, 4.7% of this breakdownSingapore: 1,044 citing papers, 4.2% of this breakdownUnited Kingdom: 982 citing papers, 3.9% of this breakdownGermany: 960 citing papers, 3.8% of this breakdownItaly: 743 citing papers, 3% of this breakdownJapan: 669 citing papers, 2.7% of this breakdownIndia: 592 citing papers, 2.4% of this breakdownFrance: 524 citing papers, 2.1% of this breakdownBrazil: 467 citing papers, 1.9% of this breakdown
0%20.4%Other 25.1%

Fields

  • Computer Science73.3%
  • Medicine6.5%
  • Immunology and Microbiology6.2%
  • Biochemistry, Genetics and Molecular Biology4%
  • Social Sciences1.9%
  • Engineering1.9%
  • Other6.2%

Topics

  • Software Engineering Research15.1%
  • Software Testing and Debugging Techniques6.9%
  • Software Reliability and Analysis Research5.3%
  • Software System Performance and Reliability4.8%
  • Advanced Malware Detection Techniques4.2%
  • Software Engineering Techniques and Practices3.2%
  • Other60.5%

Coauthors

All papers

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  1. Large Language Models for Software Engineering: A Systematic Literature Review

    Authors: , , , , , , , , , - ACM Transactions on Software Engineering and Methodology, ACM Trans. Softw. Eng. Methodol. 2024 cited by 692

  2. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xiaoning Du, Harm de Vries, Leandro von Werra - ICLR 2025 cited by 602

  3. Smart Contract Development: Challenges and Opportunities

    Authors: , , , , , , , - IEEE Transactions on Software Engineering, IEEE Trans. Software Eng. 2019 cited by 706

  4. Deep code comment generation

    Authors: , , , , - Conference on Program Comprehension, ICPC 2018 cited by 653

  5. Natural Attack for Pre-trained Models of Code

    Authors: , , , - Conference on Software Engineering, ICSE 2022 cited by 159

  6. Tumor-resident Lactobacillus iners confer chemoradiation resistance through lactate-induced metabolic rewiring

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Stephanie Dorta‐Estremera, Jianhua Zhang, Xiaogang Wu, Nadim J. Ajami, Matthew Wong, Cullen M. Taniguchi, Joseph F. Petrosino, K. Jagannadha Sastry, Pablo C. Okhuysen, Sara Martínez, Lin Tan, Iqbal Mahmud, Philip L. Lorenzi, Jennifer A. Wargo, Ann H. Klopp - Cancer Cell 2023 cited by 237

  7. Sage: practical and scalable ML-driven performance debugging in microservices

    Authors: , , , , - International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2021 cited by 163

  8. Measuring Program Comprehension: A Large-Scale Field Study with Professionals

    Authors: , , , , , - IEEE Transactions on Software Engineering, ICSE 2017 cited by 317

  9. Practitioners' expectations on automated fault localization

    Authors: , , , - Symposium on Software Testing and Analysis, ISSTA 2016 cited by 335

  10. Deep code comment generation with hybrid lexical and syntactical information

    Authors: , , , , - Empirical Software Engineering, Empir. Softw. Eng. 2019 cited by 285

  11. BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies

    Authors: , , , , , , , , , , , , , , , - Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE 2020 cited by 131

  12. LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead

    Authors: , , - ACM Transactions on Software Engineering and Methodology, ACM Trans. Softw. Eng. Methodol. 2025 cited by 116

  13. History Driven Program Repair

    Authors: , , - IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER) 2016 cited by 339

  14. DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction

    Authors: , , , , - IEEE/ACM 16th International Conference on Mining Software Repositories (MSR) 2019 cited by 214

  15. DEFECTCHECKER: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode

    Authors: , , , , , - IEEE Transactions on Software Engineering, IEEE Trans. Software Eng. 2021 cited by 153

  16. Heracles: improving resource efficiency at scale

    Authors: , , , , - ACM SIGARCH Computer Architecture News, ISCA 2015 cited by 447

  17. Neural-machine-translation-based commit message generation: how far are we?

    Authors: , , , , , - ACM/IEEE International Conference on Automated Software Engineering, ASE 2018 cited by 244

  18. Accessibility in Software Practice: A Practitioner's Perspective

    Authors: , , , , , - ACM Transactions on Software Engineering and Methodology, ACM Trans. Softw. Eng. Methodol. 2022 cited by 104

  19. Identification and Specification of the Mouse Skeletal Stem Cell

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Cell 2015 cited by 802

  20. Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

    Authors: , , , , - ACM Transactions on Software Engineering and Methodology, ACM Trans. Softw. Eng. Methodol. 2025 cited by 62

  21. Summarizing Source Code with Transferred API Knowledge

    Authors: , , , , , - Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018 cited by 277

  22. Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code

    Authors: , , , , - arXiv (Cornell University), CoRR 2024 cited by 55

  23. S3: syntax- and semantic-guided repair synthesis via programming by examples

    Authors: , , , , - Joint Meeting on Foundations of Software Engineering, ESEC/SIGSOFT FSE 2017 cited by 225

  24. CC2Vec: Distributed Representations of Code Changes

    Authors: , , , - ACM/IEEE 42nd International Conference on Software Engineering, ICSE 2020 cited by 170