Institution · Center for Artificial Intelligence Research Nepal

Most cited papers from Center for Artificial Intelligence Research Nepal

Center for Artificial Intelligence Research Nepal

What are the most cited papers from Center for Artificial Intelligence Research Nepal?

The most cited paper from Center for Artificial Intelligence Research Nepal is "Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: A study on cassava disease" (Tek Raj Chhetri, Armin Hohenegger, Dieter Fensel et al., 2023), with 39 citations. Next come "Enabling privacy-aware interoperable and quality IoT data sharing with context" (15) and "End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles" (15).

Published TypeFieldAccess

Showing 16 of 16 papers. Every paper is listed.

Most cited papers, sortable by citations and release date
#	Paper
1	Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: A study on cassava disease Tek Raj Chhetri, Armin Hohenegger, Dieter Fensel et al. · Expert Systems with Applications Open access	8 Jul 2023	39
2	Enabling privacy-aware interoperable and quality IoT data sharing with context Tek Raj Chhetri, Chinmaya Kumar Dehury, Blesson Varghese et al. · Future Generation Computer Systems Open access	27 Mar 2024	15
3	End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles Junyi Gu, Artjom Lind, Tek Raj Chhetri et al. · Sensors Open access	29 Jul 2023	15
4	Scholarly Wikidata: Population and Exploration of Conference Data in Wikidata Using LLMs Nandana Mihindukulasooriya, Sanju Tiwari, Daniil Dobriy et al. · Lecture notes in computer science Conference paper	20 Nov 2024	5
5	Risk-driven Online Testing and Test Case Diversity Analysis for ML-enabled Critical Systems Jubril Gbolahan Adigun, Tom P. Huck, Matteo Camilli et al. Conference paper	9 Oct 2023	3
6	An integrated approach to GDPR-compliant data sharing employing consent, contracts, and licenses Amar Tauqeer, Tek Raj Chhetri, Robert David et al. · Data & Knowledge Engineering Open access	24 Oct 2025	1
7	Knowledge Graph Based Hard Drive Failure Prediction Tek Raj Chhetri Book chapter	2025	1
8	Data Protection by Design Tool for Automated GDPR Compliance Verification Based on Semantically Modeled Informed Consent Tek Raj Chhetri Book chapter	2025	1
9	Whose fairness? Structural concentration in AI bias research Abhash Shrestha, Subigya Gautam, Anu Sapkota et al. · arXiv (Cornell University) PreprintOpen access	6 Jul 2026	0
10	Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context Ashish Pandey, Tek Raj Chhetri · arXiv (Cornell University) PreprintOpen access	8 Mar 2026	0
11	Grassroots-Led Democratized Plastic Governance as a Pathway to Advancing Planetary Health Ahmed Tiamiyu, Jubril Gbolahan Adigun · Challenges Open access	26 Feb 2026	0
12	Conclusion Tek Raj Chhetri Book chapter	2025	0
13	Optimising Manufacturing Process with Bayesian Structure Learning and Knowledge Graphs Tek Raj Chhetri Book chapter	2025	0
14	Introduction Tek Raj Chhetri Book chapter	2025	0
15	Preliminaries Tek Raj Chhetri Book chapter	2025	0
16	Contributions Tek Raj Chhetri Book chapter	2025	0

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.