Chandra Thapa

1.9k total citations · 1 hit paper
25 papers, 942 citations indexed

About

Chandra Thapa is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Chandra Thapa has authored 25 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Chandra Thapa's work include Privacy-Preserving Technologies in Data (8 papers), IoT and Edge/Fog Computing (4 papers) and Age of Information Optimization (3 papers). Chandra Thapa is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), IoT and Edge/Fog Computing (4 papers) and Age of Information Optimization (3 papers). Chandra Thapa collaborates with scholars based in Australia, China and Poland. Chandra Thapa's co-authors include Seyit Camtepe, M.A.P. Chamikara, Lichao Sun, ‪Surya Nepal‬, Alsharif Abuadbba, Hyoungshick Kim, Minki Kim, Yansong Gao, Yeonjae Kim and Muhammad Ejaz Ahmed and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and Sensors.

In The Last Decade

Chandra Thapa

24 papers receiving 921 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SplitFed: When Federated Learning Meets Split Learning

2022 337 citations Chandra Thapa, M.A.P. Chamikara et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Countries citing papers authored by Chandra Thapa

Since Specialization

Citations

This map shows the geographic impact of Chandra Thapa'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 Chandra Thapa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandra Thapa more than expected).

Fields of papers citing papers by Chandra Thapa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chandra Thapa. 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 Chandra Thapa. The network helps show where Chandra Thapa may publish in the future.

Co-authorship network of co-authors of Chandra Thapa

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra Thapa. A scholar is included among the top collaborators of Chandra Thapa 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 Chandra Thapa. Chandra Thapa 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	A hybrid quantum neural network for split learning 2025 ·Quantum Machine Intelligence ·(unknown), Chandra Thapa, Tansu Alpcan, Seyit Camtepe	1
2	From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways 2025 ·ACM Computing Surveys ·Mengmeng Yang, Youyang Qu, Thilina Ranbaduge, Chandra Thapa, (unknown), Ming Ding, Hajime Suzuki, Wei Ni, Alsharif Abuadbba, David B. Smith, Paul Tyler, Josef Pieprzyk, Thierry Rakotoarivelo, (unknown), (unknown)	2
3	Modified AKMA for Decentralized Authentication in LEO Satellite-Based IoT Networks 2025 ·IEEE Internet of Things Journal ·Saud Khan, Salman Durrani, Chandra Thapa, Seyit Camtepe	1
4	Entropy Causal Graphs for Multivariate Time Series Anomaly Detection 2025 ·ACM Transactions on Intelligent Systems and Technology ·(unknown), (unknown), Chandra Thapa, (unknown), (unknown), Jiangang Ma, Feng Xia	0
5	Access-Based Lightweight Physical-Layer Authentication for the Internet of Things Devices 2023 ·IEEE Internet of Things Journal ·Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe	6
6	POSTER: Toward Intelligent Cyber Attacks for Moving Target Defense Techniques in Software-Defined Networking 2023 ·(unknown), Guowei Yang, Chandra Thapa, Seyit Camtepe, Dong Seong Kim	2
7	Evaluation of Federated Learning in Phishing Email Detection 2023 ·Sensors ·Chandra Thapa, (unknown), Alsharif Abuadbba, Yansong Gao, Seyit Camtepe, ‪Surya Nepal‬, Mahathir Almashor, Yifeng Zheng	11
8	Enabling All In-Edge Deep Learning: A Literature Review 2023 ·IEEE Access ·(unknown), Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully	27
9	Graph Lifelong Learning: A Survey 2023 ·IEEE Computational Intelligence Magazine ·(unknown), Feng Xia, (unknown), Chandra Thapa, Charu C. Aggarwal	36
10	Transformer-Based Language Models for Software Vulnerability Detection 2022 ·Chandra Thapa, (unknown), Muhammad Ejaz Ahmed, Seyit Camtepe, Josef Pieprzyk, ‪Surya Nepal‬	65
11	Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and Beyond 2022 ·Methods and Protocols ·(unknown), Chandra Thapa, Seyit Camtepe, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli	12
12	SplitFed: When Federated Learning Meets Split Learning breakdown → 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Chandra Thapa, M.A.P. Chamikara, Seyit Camtepe, Lichao Sun	337
13	Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things 2021 ·IEEE Transactions on Computers ·Yansong Gao, Minki Kim, Chandra Thapa, Alsharif Abuadbba, Zhi Zhang, Seyit Camtepe, Hyoungshick Kim, ‪Surya Nepal‬	54
14	Bushfire Risk Detection Using Internet of Things: An Application Scenario 2021 ·IEEE Internet of Things Journal ·Mohammad Reza Nosouhi, Keshav Sood, Neeraj Kumar, Tricia Wevill, Chandra Thapa	13
15	Precision health data: Requirements, challenges and existing techniques for data security and privacy 2020 ·Computers in Biology and Medicine ·Chandra Thapa, Seyit Camtepe	181
16	Towards a Security Enhanced Virtualised Network Infrastructure for Internet of Medical Things (IoMT) 2020 ·Kallol Krishna Karmakar, Vijay Varadharajan, Udaya Tupakula, ‪Surya Nepal‬, Chandra Thapa	17
17	Structural Characteristics of Two-Sender Index Coding 2019 ·Entropy ·Chandra Thapa, Lawrence Ong, Sarah J. Johnson, Min Li	4
18	Corrections to “Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques” [Jun 17 3692-3711] 2018 ·IEEE Transactions on Information Theory ·Chandra Thapa, Lawrence Ong, Sarah J. Johnson	1
19	Graph-Theoretic Approaches to Two-Sender Index Coding 2016 ·arXiv (Cornell University) ·Chandra Thapa, Lawrence Ong, Sarah J. Johnson	9
20	A new index coding scheme exploiting interlinked cycles 2015 ·arXiv (Cornell University) ·Chandra Thapa, Lawrence Ong, Sarah J. Johnson	1

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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