Lina Stanković

4.0k total citations
145 papers, 2.9k citations indexed

About

Lina Stanković is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Lina Stanković has authored 145 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Electrical and Electronic Engineering, 33 papers in Computer Networks and Communications and 32 papers in Artificial Intelligence. Recurrent topics in Lina Stanković's work include Smart Grid Energy Management (46 papers), Cooperative Communication and Network Coding (19 papers) and Building Energy and Comfort Optimization (17 papers). Lina Stanković is often cited by papers focused on Smart Grid Energy Management (46 papers), Cooperative Communication and Network Coding (19 papers) and Building Energy and Comfort Optimization (17 papers). Lina Stanković collaborates with scholars based in United Kingdom, United States and China. Lina Stanković's co-authors include Vladimir Stanković, Jing Liao, David Murray, Bochao Zhao, Kanghang He, Samuel Cheng, Dejan Vukobratović, Cheng Yang, Haroon Rashid and Pushpendra Singh and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Applied Energy.

In The Last Decade

Lina Stanković

136 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lina Stanković United Kingdom 25 2.0k 679 537 395 361 145 2.9k
Yuxun Zhou United States 27 1.3k 0.7× 705 1.0× 359 0.7× 402 1.0× 514 1.4× 74 2.6k
Ahmed Zoha United Kingdom 22 1.5k 0.7× 347 0.5× 264 0.5× 340 0.9× 214 0.6× 86 2.4k
Stefano Squartini Italy 30 2.0k 1.0× 499 0.7× 1.2k 2.3× 975 2.5× 439 1.2× 195 4.0k
Vladimir Stanković United Kingdom 35 2.8k 1.4× 656 1.0× 568 1.1× 677 1.7× 1.0k 2.8× 258 4.5k
Álvaro Hernández Spain 26 1.9k 0.9× 168 0.2× 395 0.7× 151 0.4× 213 0.6× 220 2.7k
M. Fesanghary United States 16 825 0.4× 263 0.4× 546 1.0× 1.1k 2.7× 210 0.6× 22 3.3k
Prabir Barooah United States 31 1.7k 0.9× 1.6k 2.4× 1.3k 2.5× 195 0.5× 162 0.4× 120 3.9k
Jesús Ureña Spain 26 1.9k 0.9× 164 0.2× 260 0.5× 196 0.5× 285 0.8× 209 2.6k
Latifa Oukhellou France 25 455 0.2× 351 0.5× 234 0.4× 431 1.1× 593 1.6× 74 2.4k
Weicong Kong Australia 19 2.8k 1.4× 815 1.2× 533 1.0× 760 1.9× 402 1.1× 30 3.3k

Countries citing papers authored by Lina Stanković

Since Specialization
Citations

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

Fields of papers citing papers by Lina Stanković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Stanković

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Stanković. A scholar is included among the top collaborators of Lina Stanković 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 Lina Stanković. Lina Stanković 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.
Murray, David, Lina Stanković, Vladimir Stanković, et al.. (2025). Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning. Scientific Reports. 15(1). 1026–1026. 2 indexed citations
2.
Murray, David, Vladimir Stanković, Lina Stanković, et al.. (2025). A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model. Science of Remote Sensing. 11. 100189–100189. 2 indexed citations
3.
4.
Principi, Emanuele, et al.. (2025). Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge. Expert Systems with Applications. 294. 128837–128837.
5.
Stanković, Vladimir, et al.. (2024). XNILMBoost: Explainability-informed load disaggregation training enhancement using attribution priors. Engineering Applications of Artificial Intelligence. 141. 109766–109766. 2 indexed citations
6.
Stevens, Gunnar, et al.. (2024). Time and Money Matters for Sustainability: Insights on User Preferences on Renewable Energy for Electric Vehicle Charging Stations. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 269–278.
7.
Stanković, Vladimir, et al.. (2024). Explainable AI for Transparent Seismic Signal Classification. 8801–8805.
8.
Stanković, Lina, et al.. (2024). Descriptor: A Norwegian Positive Energy Neighborhood Dataset of Electrical Measurements and Interviews on Energy Practices (NorPEN). VBN Forskningsportal (Aalborg Universitet). 1. 113–121. 1 indexed citations
9.
Doulamis, Nikolaos, et al.. (2024). The Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece. Scientific Data. 11(1). 376–376. 9 indexed citations
10.
11.
Stanković, Vladimir, et al.. (2023). Unsupervised Cluster Analysis of Walking Activity Data for Healthy Individuals and Individuals with Lower Limb Amputation. Sensors. 23(19). 8164–8164. 2 indexed citations
12.
Stanković, Vladimir, et al.. (2023). Microseismic Event Classification With Time-, Frequency-, and Wavelet-Domain Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 17 indexed citations
13.
Pytharouli, Stella, et al.. (2023). Multichannel coherence migration grid search (MCMgs) in locating microseismic events recorded by a surface array. Geophysical Journal International. 236(2). 1042–1052. 2 indexed citations
14.
Stanković, Lina, et al.. (2021). Human Activity Recognition of Individuals with Lower Limb Amputation in Free-Living Conditions: A Pilot Study. Sensors. 21(24). 8377–8377. 8 indexed citations
15.
Hudec, Róbert, et al.. (2019). Flexible Force Sensors Embedded in Office Chair for Monitoring of Sitting Postures. 1–3. 11 indexed citations
16.
Yang, Cheng, Ukadike C. Ugbolue, Vladimir Stanković, et al.. (2019). Automation enhancement and accuracy investigation of a portable single‐camera gait analysis system. IET Science Measurement & Technology. 13(4). 563–571. 4 indexed citations
17.
Murray, David, Lina Stanković, & Vladimir Stanković. (2017). An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study. Scientific Data. 4(1). 160122–160122. 319 indexed citations
18.
Stanković, Vladimir, Lina Stanković, & Samuel Cheng. (2009). Sparse signal recovery with side information. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 100–104. 4 indexed citations
19.
Vukobratović, Dejan, Vladimir Stanković, Dino Sejdinović, Lina Stanković, & Zixiang Xiong. (2008). Expanding Window Fountain codes for scalable video multicast. 77–80. 20 indexed citations
20.
Stanković, Vladimir, et al.. (2007). Wireless full-duplex communications based on network coding. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 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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