Indika Kahanda

1.5k total citations
36 papers, 289 citations indexed

About

Indika Kahanda is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Indika Kahanda has authored 36 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Indika Kahanda's work include Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (11 papers) and Bioinformatics and Genomic Networks (6 papers). Indika Kahanda is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (11 papers) and Bioinformatics and Genomic Networks (6 papers). Indika Kahanda collaborates with scholars based in United States, Sri Lanka and Australia. Indika Kahanda's co-authors include Jennifer Neville, Asa Ben‐Hur, Karin Verspoor, Upulee Kanewala, Brendan Mumey, Alan Cleary, Joann Mudge, Thiruvarangan Ramaraj, Mojgan Amirebrahimi and Jeremy Schmutz and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Human Vaccines & Immunotherapeutics.

In The Last Decade

Indika Kahanda

33 papers receiving 285 citations

Peers

Countries citing papers authored by Indika Kahanda

Since Specialization

Citations

This map shows the geographic impact of Indika Kahanda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Indika Kahanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indika Kahanda more than expected).

Fields of papers citing papers by Indika Kahanda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Indika Kahanda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Indika Kahanda. The network helps show where Indika Kahanda may publish in the future.

Co-authorship network of co-authors of Indika Kahanda

This figure shows the co-authorship network connecting the top 25 collaborators of Indika Kahanda. A scholar is included among the top collaborators of Indika Kahanda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Indika Kahanda. Indika Kahanda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Metamorphic Testing for Robustness and Fairness Evaluation of LLM-based Automated ICD Coding Applications 2025 ·Smart Health ·(unknown), Indika Kahanda, Upulee Kanewala	1
2	WIP: Detection of Student Misconceptions of Electrical Circuit Concepts in a Short Answer Question Using NLP 2024 ·2021 ASEE Virtual Annual Conference Content Access Proceedings ·James Becker, Indika Kahanda, (unknown)	0
3	Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts 2023 ·(unknown), Indika Kahanda, S. Indu Rupassara, (unknown)	1
4	Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3 2023 ·(unknown), Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, (unknown), Indika Kahanda, (unknown), William F. Klostermeyer, Mutlu Demirer	1
5	Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading 2023 ·(unknown), Indika Kahanda	1
6	Challenges and opportunities in current vaccine technology and administration: A comprehensive survey examining oral vaccine potential in the United States 2022 ·Human Vaccines & Immunotherapeutics ·S. Indu Rupassara, (unknown), (unknown), Indika Kahanda	3
7	miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification 2022 ·Biosystems ·(unknown), (unknown), (unknown), Indika Kahanda, Damayanthi Herath	2
8	Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT 2022 ·2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ·(unknown), Vikash Gupta, Barbaros S. Erdal, Richard White, Robert W. Maxwell, (unknown), Indika Kahanda, (unknown), William F. Klostermeyer, Mutlu Demirer	1
9	Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes 2021 ·BMC Bioinformatics ·(unknown), Indika Kahanda	4
10	Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings 2021 ·(unknown), (unknown), Indika Kahanda	3
11	Genetic dissection of natural variation in oilseed traits of camelina by whole‐genome resequencing and QTL mapping 2021 ·The Plant Genome ·Huang Li, Xiao Hu, John T. Lovell, Paul Grabowski, Sujan Mamidi, Cindy Chen, Mojgan Amirebrahimi, Indika Kahanda, Brendan Mumey, Kerrie Barry, David Kudrna, Jeremy Schmutz, Jennifer Lachowiec, Chaofu Lu	23
12	Automatically generating psychiatric case notes from digital transcripts of doctor-patient conversations using text mining 2019 ·(unknown), Indika Kahanda	0
13	RDoC Task at BioNLP-OST 2019 2019 ·(unknown), (unknown), (unknown), Indika Kahanda	1
14	Automatically Generating Psychiatric Case Notes From Digital Transcripts of Doctor-Patient Conversations 2019 ·(unknown), Indika Kahanda	8
15	Overview of the BioCreative VI text-mining services for Kinome Curation Track 2018 ·Database ·Julien Gobeill, Pascale Gaudet, (unknown), (unknown), Indika Kahanda, (unknown), Chih-Hsuan Wei, Zhiyong Lu, Patrick Ruch	4
16	Quality assurance of bioinformatics software 2018 ·(unknown), (unknown), Indika Kahanda, Upulee Kanewala	13
17	Exploring Frequented Regions in Pan-Genomic Graphs 2018 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Alan Cleary, Thiruvarangan Ramaraj, Indika Kahanda, Joann Mudge, Brendan Mumey	6
18	Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct 2015 ·Journal of Biomedical Semantics ·(unknown), Indika Kahanda, Asa Ben‐Hur, Karin Verspoor	16
19	A close look at protein function prediction evaluation protocols 2015 ·GigaScience ·Indika Kahanda, (unknown), (unknown), Karin Verspoor, Asa Ben‐Hur	16
20	Using Transactional Information to Predict Link Strength in Online Social Networks 2009 ·Proceedings of the International AAAI Conference on Web and Social Media ·Indika Kahanda, Jennifer Neville	144

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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