2026 David Lo: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	97	429	417	7	7	537	31009

Research.com Recognitions

2026 - Research.com Computer Science in Singapore Leader Award
2025 - Research.com Computer Science in Singapore Leader Award
2022 - Research.com Computer Science in Singapore Leader Award

Overview

David Lo is affiliated with Singapore Management University in Singapore and has a substantial publication record in the field of Computer Science, with a focus on software engineering and related subfields. Their research spans several domains including Information Systems, Artificial Intelligence, Software, Computer Networks and Communications, and Signal Processing.

The main topics covered in their work include:

Software Engineering Research
Advanced Malware Detection Techniques
Software Testing and Debugging Techniques
Software Reliability and Analysis Research
Software System Performance and Reliability
Topic Modeling
Software Engineering Techniques and Practices

David Lo has contributed extensively to prominent publication venues, including:

arXiv (Cornell University)
ACM Transactions on Software Engineering and Methodology
IEEE Transactions on Software Engineering
Zenodo (CERN European Organization for Nuclear Research)
Empirical Software Engineering

Some of their recent papers are:

"Large Language Models for Software Engineering: A Systematic Literature Review," 2024, ACM Transactions on Software Engineering and Methodology
"Defining Smart Contract Defects on Ethereum," 2020, IEEE Transactions on Software Engineering
"A Survey on Deep Learning for Software Engineering," 2021, ACM Computing Surveys
"DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode," 2021, IEEE Transactions on Software Engineering
"Checking Smart Contracts With Structural Code Embedding," 2020, IEEE Transactions on Software Engineering

Their frequent coauthors include:

Xin Xia
Zhou Yang
Jieke Shi
Ferdian Thung
Hong Jin Kang

David Lo's research outputs indicate a strong interest in software reliability, defect detection methods, and applications of machine learning and deep learning techniques within software engineering. Their work on smart contract defects and related automated detection methods highlights an engagement with contemporary challenges in blockchain technology and software security.

Best Publications

Smart Contract Development: Challenges and Opportunities

Weiqin Zou;David Lo;Pavneet Singh Kochhar;Xuan-Bach Dinh Le

647
Citations
Deep code comment generation

Xing Hu;Ge Li;Xin Xia;David Lo

638
Citations
Where should the bugs be fixed? - more accurate information retrieval-based bug localization based on bug reports

Jian Zhou;Hongyu Zhang;David Lo

622
Citations
Towards more accurate retrieval of duplicate bug reports

Chengnian Sun;David Lo;Siau-Cheng Khoo;Jing Jiang

441
Citations
A discriminative model approach for accurate duplicate bug report retrieval

Chengnian Sun;David Lo;Xiaoyin Wang;Jing Jiang

436
Citations
History Driven Program Repair

Xuan Bach D. Le;David Lo;Claire Le Goues

400
Citations
Deep Learning for Just-in-Time Defect Prediction

Xinli Yang;David Lo;Xin Xia;Yun Zhang

389
Citations
Practitioners' expectations on automated fault localization

Pavneet Singh Kochhar;Xin Xia;David Lo;Shanping Li

356
Citations
Measuring program comprehension: a large-scale field study with professionals

Xin Xia;Lingfeng Bao;David Lo;Zhenchang Xing

338
Citations
HYDRA: Massively Compositional Model for Cross-Project Defect Prediction

Xin Xia;David Lo;Sinno Jialin Pan;Nachiappan Nagappan

304
Citations
Duplicate bug report detection with a combination of information retrieval and topic modeling

Anh Tuan Nguyen;Tung Thanh Nguyen;Tien N. Nguyen;David Lo

293
Citations
Version history, similar report, and structure: putting them together for improved bug localization

Shaowei Wang;David Lo

272
Citations
Summarizing source code with transferred API knowledge

Xing Hu;Ge Li;Xin Xia;David Lo

271
Citations
EnTagRec ++: An enhanced tag recommendation system for software information sites

Shaowei Wang;David Lo;Bogdan Vasilescu;Alexander Serebrenik

269
Citations
Deep code comment generation with hybrid lexical and syntactical information

Xing Hu;Ge Li;Xin Xia;David Lo

267
Citations
Classification of software behaviors for failure detection: a discriminative pattern mining approach

David Lo;Hong Cheng;Jiawei Han;Siau-Cheng Khoo

265
Citations
Network Structure of Social Coding in GitHub

F. Thung;T. F. Bissyande;D. Lo;Lingxiao Jiang

259
Citations
S3: syntax- and semantic-guided repair synthesis via programming by examples

Xuan-Bach D. Le;Duc-Hiep Chu;David Lo;Claire Le Goues

255
Citations
Neural-machine-translation-based commit message generation: how far are we?

Zhongxin Liu;Xin Xia;Ahmed E. Hassan;David Lo

248
Citations
Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction

Yuan Tian;David Lo;Chengnian Sun

236
Citations

Frequent Co-Authors

Xin Xia Huawei Technologies (China)

Ferdian Thung Singapore Management University

Lingxiao Jiang Singapore Management University

Ee-Peng Lim Singapore Management University

Zhenchang Xing Australian National University

Julia Lawall French Institute for Research in Computer Science and Automation - INRIA

Tegawendé F. Bissyandé University of Luxembourg

Ahmed E. Hassan Queen's University

Jacques Klein University of Luxembourg

Yves Le Traon University of Luxembourg

External Links

Personal website of David Lo Google Scholar page

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