World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9056
World Ranking
5153
National Ranking
2369

Overview

K. Vijay-Shanker is affiliated with the University of Delaware in the United States. Their research spans several fields within biochemistry, genetics, molecular biology, and computer science, with a notable focus on molecular biology and artificial intelligence.

Their work encompasses main topics such as:

  • Biomedical Text Mining and Ontologies
  • Topic Modeling
  • Natural Language Processing Techniques
  • Bioinformatics and Genomic Networks
  • MicroRNA in disease regulation
  • RNA modifications and cancer
  • Cancer-related molecular mechanisms research

Vijay-Shanker has contributed extensively to the scientific literature, with key papers including:

  • OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data, 2020, JCO Clinical Cancer Informatics
  • Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction, 2022, BMC Bioinformatics
  • emiRIT: a text-mining-based resource for microRNA information, 2021, Database
  • Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction, 2021, arXiv (Cornell University)
  • Text mining of CHO bioprocess bibliome: Topic modeling and document classification, 2023, PLoS ONE

Frequently publishing in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Glycobiology, BMC Bioinformatics, and JCO Clinical Cancer Informatics, Vijay-Shanker's work engages with preprint and peer-reviewed platforms alike.

Collaborations represent an important aspect of their research activities. Frequent co-authors include:

  • Peng Su
  • Cathy Wu
  • Samir Gupta
  • Robel Kahsay
  • Raja Mazumder

Their publication record includes a significant number of contributions related to both fundamental biological processes and computational techniques, reflecting an interdisciplinary approach to addressing complex biomedical questions.

Best Publications

  • Towards automatically generating summary comments for Java methods

    Giriprasad Sridhara;Emily Hill;Divya Muppaneni;Lori Pollock

  • The Convergence of Mildly Context-Sensitive Grammar Formalisms

    Aravind Joshi;K. Vijay-Shanker;David Weir

  • Automatic generation of natural language summaries for Java classes

    Laura Moreno;Jairo Aponte;Giriprasad Sridhara;Andrian Marcus

  • CHARACTERIZING STRUCTURAL DESCRIPTIONS PRODUCED BY VARIOUS GRAMMATICAL FORMALISMS

    K. Vijay-Shanker;David J. Weir;Aravind K. Joshi

  • The equivalence of four extensions of context-free grammars

    K. Vijay-Shanker;D. J. Weir

  • Using natural language program analysis to locate and understand action-oriented concerns

    David Shepherd;Zachary P. Fry;Emily Hill;Lori Pollock

  • Automatically capturing source code context of NL-queries for software maintenance and reuse

    Emily Hill;Lori Pollock;K. Vijay-Shanker

  • Automatically detecting and describing high level actions within methods

    Giriprasad Sridhara;Lori Pollock;K. Vijay-Shanker

  • Mining source code to automatically split identifiers for software analysis

    Eric Enslen;Emily Hill;Lori Pollock;K. Vijay-Shanker

  • Feature structures based Tree Adjoining Grammars

    K. Vijay-Shanker;A. K. Joshi

  • Using descriptions of trees in a tree adjoining grammar

    K. Vijay-Shanker

  • A biological named entity recognizer.

    Meenakshi Narayanaswamy;K. E. Ravikumar;K. Vijay-Shanker

  • iPTMnet: an integrated resource for protein post-translational modification network discovery.

    Hongzhan Huang;Cecilia N Arighi;Cecilia N Arighi;Karen E Ross;Jia Ren

  • Exploring the neighborhood with dora to expedite software maintenance

    Emily Hill;Lori Pollock;K. Vijay-Shanker

  • Parsing some constrained grammar formalisms

    K. Vijay-Shanker;David J. Weir

  • D-Tree Grammars

    Owen Rambow;K. Vijay-Shanker;David Weir

  • AMAP: automatically mining abbreviation expansions in programs to enhance software maintenance tools

    Emily Hill;Zachary P. Fry;Haley Boyd;Giriprasad Sridhara

  • Generating Parameter Comments and Integrating with Method Summaries

    Giriprasad Sridhara;Lori Pollock;K. Vijay-Shanker

  • Dialogue Act Tagging with Transformation-Based Learning

    Ken Samuel;Sandra Carberry;K. Vijay-Shanker

  • Literature mining and database annotation of protein phosphorylation using a rule-based system

    Z. Z. Hu;M. Narayanaswamy;K. E. Ravikumar;K. Vijay-Shanker

  • Some computational properties of tree adjoining grammars

    K. Vijay-Shankar;Aravind K. Joshi

Frequent Co-Authors

Cathy H. Wu
Cathy H. Wu University of Delaware
Lori Pollock
Lori Pollock University of Delaware
Cecilia N. Arighi
Cecilia N. Arighi University of Delaware
David J. Weir
David J. Weir Helsinki Institute of Physics
Aravind K. Joshi
Aravind K. Joshi University of Pennsylvania
Hongzhan Huang
Hongzhan Huang University of Delaware
Owen Rambow
Owen Rambow Stony Brook University
Martha Palmer
Martha Palmer University of Colorado Boulder
Jingyi Yu
Jingyi Yu ShanghaiTech University
Marc Robinson-Rechavi
Marc Robinson-Rechavi University of Lausanne

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