Jens Lundström

467 total citations
24 papers, 274 citations indexed

About

Jens Lundström is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jens Lundström has authored 24 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jens Lundström's work include Context-Aware Activity Recognition Systems (12 papers), Industrial Vision Systems and Defect Detection (5 papers) and Color Science and Applications (4 papers). Jens Lundström is often cited by papers focused on Context-Aware Activity Recognition Systems (12 papers), Industrial Vision Systems and Defect Detection (5 papers) and Color Science and Applications (4 papers). Jens Lundström collaborates with scholars based in Sweden, United Kingdom and Lithuania. Jens Lundström's co-authors include Antanas Verikas, Masashi Kimura, Chris Nugent, Jesús Favela, Ian McChesney, Bert Arnrich, Adas Gelžinis, Marija Bačauskienė, Jonathan Synnott and Ian Cleland and has published in prestigious journals such as Expert Systems with Applications, Sensors and Knowledge-Based Systems.

In The Last Decade

Jens Lundström

23 papers receiving 260 citations

Peers

Jens Lundström

CVPR

CNC

IME

DEMOG

Christophe Lohr France

Diego Gachet Páez Spain

Antonios Lalas Greece

JunWoo Lee South Korea

Minh Pham United States

Rossitza Goleva Bulgaria

Ana B. García Spain

Dimitrios Sikeridis United States

Nasharuddin Zainal Malaysia

Tayeb Lemlouma France

Christophe Lohr France

Jens Lundström

147 ×1.1

CVPR

52 ×0.7

96 ×1.7

CNC

9 ×0.3

IME

25 ×1.0

DEMOG

Citations per year, relative to Jens Lundström Jens Lundström (= 1×) peers Christophe Lohr

Countries citing papers authored by Jens Lundström

Since Specialization

Citations

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

Fields of papers citing papers by Jens Lundström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Lundström

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Lundström. A scholar is included among the top collaborators of Jens Lundström 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 Jens Lundström. Jens Lundström 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

Lundström, Jens, et al.. (2025). Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. Lund University Publications (Lund University). 1–5.

Soliman, Amira, et al.. (2023). Domain Knowledge-Driven Generation of Synthetic Healthcare Data. Studies in health technology and informatics. 302. 352–353. 2 indexed citations

Lundström, Jens, et al.. (2023). Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease. Studies in health technology and informatics. 302. 603–604. 3 indexed citations

Khoshkangini, Reza, et al.. (2023). A Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction. Sensors. 23(12). 5621–5621. 3 indexed citations

Etminani, Kobra, et al.. (2023). Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. 1–8. 3 indexed citations

Khoshkangini, Reza, et al.. (2022). Predicting Vehicle Behavior Using Multi-task Ensemble Learning. Expert Systems with Applications. 212. 118716–118716. 14 indexed citations

Lundström, Jens, et al.. (2020). Literature Review on Transfer Learning for Human Activity Recognition Using Mobile and Wearable Devices with Environmental Technology. SN Computer Science. 1(2). 41 indexed citations

Kimura, Masashi, et al.. (2020). Efficacy of Imbalanced Data Handling Methods on Deep Learning for Smart Homes Environments. SN Computer Science. 1(4). 30 indexed citations

Lundström, Jens, et al.. (2019). A Smart Home System for Information Sharing, Health Assessments, and Medication Self-Management for Older People: Protocol for a Mixed-Methods Study. JMIR Research Protocols. 8(4). e12447–e12447. 5 indexed citations

10.

Zhang, Shuai, Chris Nugent, Jens Lundström, & Min Sheng. (2018). Ambient Assisted Living for Improvement of Health and Quality of Life—A Special Issue of the Journal of Informatics. Informatics. 5(1). 4–4. 2 indexed citations

11.

Spinsante, Susanna, et al.. (2016). A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace. Mobile Information Systems. 2016. 1–17. 18 indexed citations

12.

Nugent, Chris, Ian Cleland, Anita Sant’Anna, et al.. (2016). An initiative for the creation of open datasets within pervasive healthcare. 8 indexed citations

13.

Lundström, Jens, et al.. (2016). Detecting and exploring deviating behaviour of smart home residents. Expert Systems with Applications. 55. 429–440. 32 indexed citations

14.

Synnott, Jonathan, Chris Nugent, Shuai Zhang, et al.. (2016). Environment Simulation for the Promotion of the Open Data Initiative. Ulster University Research Portal (Ulster University). 17. 1–6. 5 indexed citations

15.

Lundström, Jens, et al.. (2015). Smart home simulation using avatar control and probabilistic sampling. Ulster University Research Portal (Ulster University). 336–341. 15 indexed citations

16.

Lundström, Jens, et al.. (2014). Active In-Database Processing to Support Ambient Assisted Living Systems. Sensors. 14(8). 14765–14785. 9 indexed citations

17.

Lundström, Jens, et al.. (2012). Assessing, exploring, and monitoring quality of offset colour prints. Measurement. 46(4). 1427–1441. 9 indexed citations

18.

Lundström, Jens & Antanas Verikas. (2012). Assessing print quality by machine in offset colour printing. Knowledge-Based Systems. 37. 70–79. 16 indexed citations

19.

Lundström, Jens & Antanas Verikas. (2011). System for assessing, exploring and monitoring offset print quality. International Conference on Circuits. 22(7). 28–33. 1 indexed citations

20.

Verikas, Antanas, Jens Lundström, Marija Bačauskienė, & Adas Gelžinis. (2011). Advances in computational intelligence-based print quality assessment and control in offset colour printing. Expert Systems with Applications. 38(10). 13441–13447. 26 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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