Bipul Neupane

603 total citations
16 papers, 398 citations indexed

About

Bipul Neupane is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Media Technology. According to data from OpenAlex, Bipul Neupane has authored 16 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Ocean Engineering and 6 papers in Media Technology. Recurrent topics in Bipul Neupane's work include Automated Road and Building Extraction (6 papers), Remote Sensing and LiDAR Applications (6 papers) and Remote-Sensing Image Classification (6 papers). Bipul Neupane is often cited by papers focused on Automated Road and Building Extraction (6 papers), Remote Sensing and LiDAR Applications (6 papers) and Remote-Sensing Image Classification (6 papers). Bipul Neupane collaborates with scholars based in Australia, Thailand and Germany. Bipul Neupane's co-authors include Teerayut Horanont, Jagannath Aryal, Abbas Rajabifard, Christian Geiß, Patrick Aravena Pelizari, Apichon Witayangkurn and Deepak Adhikari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Bipul Neupane

16 papers receiving 385 citations

Peers

Bipul Neupane
Zhou Guo China
Bipul Neupane
Citations per year, relative to Bipul Neupane Bipul Neupane (= 1×) peers Zhou Guo

Countries citing papers authored by Bipul Neupane

Since Specialization
Citations

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

Fields of papers citing papers by Bipul Neupane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bipul Neupane

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

All Works

16 of 16 papers shown
1.
Horanont, Teerayut, et al.. (2025). Classification of oil palm tree conditions from UAV imagery using the YOLO object detector. Big Earth Data. 9(4). 860–886. 1 indexed citations
2.
Neupane, Bipul, Jagannath Aryal, Abbas Rajabifard, Patrick Aravena Pelizari, & Christian Geiß. (2025). Multilabel Learning With ViT for Building Footprint Extraction From Off-Nadir Aerial Images. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
3.
Neupane, Bipul, Jagannath Aryal, & Abbas Rajabifard. (2025). Fine-Tuning-Based Transfer Learning for Building Extraction from Off-Nadir Remote Sensing Images. Remote Sensing. 17(7). 1251–1251. 1 indexed citations
4.
Neupane, Bipul, Jagannath Aryal, & Abbas Rajabifard. (2024). CNNs for remote extraction of urban features: A survey-driven benchmarking. Expert Systems with Applications. 255. 124751–124751. 10 indexed citations
6.
Aryal, Jagannath & Bipul Neupane. (2023). Multi-Scale Feature Map Aggregation and Supervised Domain Adaptation of Fully Convolutional Networks for Urban Building Footprint Extraction. Remote Sensing. 15(2). 488–488. 9 indexed citations
7.
Horanont, Teerayut, et al.. (2023). Deep Learning for Remote Sensing Image Scene Classification: A Review and Meta-Analysis. Remote Sensing. 15(19). 4804–4804. 37 indexed citations
8.
Neupane, Bipul, Jagannath Aryal, & Abbas Rajabifard. (2023). Knowledge Transfer and Model Compression for Misaligned Building Labels. 3632–3635. 2 indexed citations
9.
Horanont, Teerayut, et al.. (2022). Parcel-Level Flood and Drought Detection for Insurance Using Sentinel-2A, Sentinel-1 SAR GRD and Mobile Images. Remote Sensing. 14(23). 6095–6095. 5 indexed citations
10.
Neupane, Bipul, Teerayut Horanont, & Jagannath Aryal. (2022). Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network. Sensors. 22(10). 3813–3813. 46 indexed citations
11.
Neupane, Bipul, et al.. (2022). Object vs Pixel-based Flood/Drought Detection in Paddy Fields using Deep Learning. 4 indexed citations
12.
Neupane, Bipul, et al.. (2022). BUILDING FOOTPRINT SEGMENTATION USING TRANSFER LEARNING: A CASE STUDY OF THE CITY OF MELBOURNE. SHILAP Revista de lepidopterología. X-4/W3-2022. 173–179. 3 indexed citations
13.
Neupane, Bipul, Teerayut Horanont, & Jagannath Aryal. (2021). Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis. Remote Sensing. 13(4). 808–808. 156 indexed citations
14.
Neupane, Bipul, et al.. (2020). Real-time Drowsiness and Distraction Detection using Computer Vision and Deep Learning. 1–6. 4 indexed citations
16.
Neupane, Bipul, et al.. (2019). An Open-Source UAV Image Processing Web Service for Crop Health Monitoring. 11–16. 5 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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