Arjun Neupane

1.5k total citations · 1 hit paper
32 papers, 852 citations indexed

About

Arjun Neupane is a scholar working on Plant Science, Political Science and International Relations and Strategy and Management. According to data from OpenAlex, Arjun Neupane has authored 32 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 6 papers in Political Science and International Relations and 6 papers in Strategy and Management. Recurrent topics in Arjun Neupane's work include Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). Arjun Neupane is often cited by papers focused on Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). Arjun Neupane collaborates with scholars based in Australia, Nepal and Malaysia. Arjun Neupane's co-authors include Tej Bahadur Shahi, William Guo, Kishor Vaidya, Jeffrey Soar, Cheng‐Yuan Xu, Mohan Bhandari, Chiranjibi Sitaula, Ashish Shrestha, Jianming Yong and Kerry B. Walsh and has published in prestigious journals such as PLoS ONE, IEEE Access and Remote Sensing.

In The Last Decade

Arjun Neupane

26 papers receiving 801 citations

Hit Papers

Recent Advances in Crop Disease Detection Using UAV and D... 2023 2026 2024 2025 2023 40 80 120
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.

  1. Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
    2023 132 citations Tej Bahadur Shahi, Cheng‐Yuan Xu et al. Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arjun Neupane Australia 16 292 114 111 105 103 32 852
Arun Malik India 27 91 0.3× 29 0.3× 441 4.0× 54 0.5× 139 1.3× 140 1.9k
Somnath Mukhopadhyay India 15 84 0.3× 57 0.5× 126 1.1× 238 2.3× 172 1.7× 66 810
Krishna Prasad K India 14 256 0.9× 10 0.1× 66 0.6× 207 2.0× 90 0.9× 173 1.1k
Ranjan Ghosh India 16 81 0.3× 5 0.0× 89 0.8× 39 0.4× 98 1.0× 102 828
Sultan Almakdi Saudi Arabia 13 52 0.2× 20 0.2× 73 0.7× 44 0.4× 143 1.4× 43 627
Mario Góngora United Kingdom 13 36 0.1× 27 0.2× 56 0.5× 65 0.6× 303 2.9× 88 766
Patricia Anthony Malaysia 14 83 0.3× 34 0.3× 47 0.4× 262 2.5× 295 2.9× 79 748
Olusegun Folorunso Nigeria 13 43 0.1× 13 0.1× 231 2.1× 42 0.4× 277 2.7× 77 959
Mandeep Kaur Saggi India 14 121 0.4× 16 0.1× 24 0.2× 79 0.8× 203 2.0× 21 945
Soumya Sen India 19 53 0.2× 10 0.1× 143 1.3× 192 1.8× 264 2.6× 105 1.3k

Countries citing papers authored by Arjun Neupane

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Neupane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Neupane

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun Neupane. A scholar is included among the top collaborators of Arjun Neupane 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 Arjun Neupane. Arjun Neupane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shahi, Tej Bahadur, et al.. (2025). Sentiment analysis of Nepali social media text with a hybrid deep learning model. Social Network Analysis and Mining. 15(1).
2.
Neupane, Arjun, et al.. (2025). Nematode Detection and Classification Using Machine Learning Techniques: A Review. Agronomy. 15(11). 2481–2481.
3.
4.
Langat, Philip Kibet, Manoj Kumer Ghosh, Chandan Roy, et al.. (2024). Mapping Coastal Dynamics Induced Land Use Change in Sandwip Island, Bangladesh. Remote Sensing. 16(24). 4686–4686.
5.
Neupane, Arjun, et al.. (2024). Threading the GenAI needle: Unpacking the ups and downs of GenAI for higher education stakeholders. Journal of Applied Learning & Teaching. 7(2). 3 indexed citations
6.
Neupane, Arjun, et al.. (2024). Evaluation of 1D convolutional neural network in estimation of mango dry matter content. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 311. 124003–124003. 17 indexed citations
7.
Shahi, Tej Bahadur, Cheng‐Yuan Xu, Arjun Neupane, et al.. (2023). Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach. Electronic Research Archive. 31(6). 3343–3361. 11 indexed citations
8.
Shahi, Tej Bahadur, Cheng‐Yuan Xu, Arjun Neupane, & William Guo. (2023). Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques. Remote Sensing. 15(9). 2450–2450. 132 indexed citations breakdown →
9.
Bhandari, Mohan, Tej Bahadur Shahi, & Arjun Neupane. (2023). Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks. Journal of Imaging. 9(10). 219–219. 16 indexed citations
10.
Shahi, Tej Bahadur, et al.. (2023). A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images. PLoS ONE. 18(3). e0282486–e0282486. 11 indexed citations
11.
Neupane, Arjun, et al.. (2023). A Deep Learning-Based Decision Support Tool for Plant-Parasitic Nematode Management. Journal of Imaging. 9(11). 240–240. 5 indexed citations
12.
Bhandari, Mohan, Tej Bahadur Shahi, Arjun Neupane, & Kerry B. Walsh. (2023). BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model. Journal of Imaging. 9(2). 53–53. 38 indexed citations
13.
Shahi, Tej Bahadur, et al.. (2023). Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study. Drones. 7(10). 624–624. 28 indexed citations
14.
Neupane, Arjun, et al.. (2023). Detection and counting of root-knot nematodes using YOLO models with mosaic augmentation. Biosensors and Bioelectronics X. 15. 100407–100407. 15 indexed citations
15.
Bhandari, Mohan, et al.. (2022). Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI. Computers in Biology and Medicine. 150. 106156–106156. 100 indexed citations
16.
Shahi, Tej Bahadur, Chiranjibi Sitaula, Arjun Neupane, & William Guo. (2022). Fruit classification using attention-based MobileNetV2 for industrial applications. PLoS ONE. 17(2). e0264586–e0264586. 93 indexed citations
17.
18.
Neupane, Arjun, Jeffrey Soar, Kishor Vaidya, & Jianming Yong. (2012). Role of public e-procurement technology to reduce corruption in government procurement. University of Southern Queensland ePrints (University of Southern Queensland). 39 indexed citations
19.
Neupane, Arjun, Jeffrey Soar, & Kishor Vaidya. (2012). Perceived Benefits Related to Anti-Corruption from e-Tendering System in Nepal. 11(1). 22–29. 3 indexed citations
20.
Neupane, Arjun, Jeffrey Soar, & Kishor Vaidya. (2012). The potential of e-procurement technology for reducing corruption. International Journal of Information Technology and Management. 11(4). 273–273. 19 indexed citations

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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