Ya Lu

471 total citations
13 papers, 260 citations indexed

About

Ya Lu is a scholar working on Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition and Physiology. According to data from OpenAlex, Ya Lu has authored 13 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Physiology. Recurrent topics in Ya Lu's work include Nutritional Studies and Diet (5 papers), Advanced Chemical Sensor Technologies (3 papers) and Nutrition and Health in Aging (2 papers). Ya Lu is often cited by papers focused on Nutritional Studies and Diet (5 papers), Advanced Chemical Sensor Technologies (3 papers) and Nutrition and Health in Aging (2 papers). Ya Lu collaborates with scholars based in Switzerland, China and France. Ya Lu's co-authors include Stavroula Mougiakakou, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Emilie Reber, Lillian F. Pinault, Elias K. Spanakis, Hongmei Zhang and Xiaoke Li and has published in prestigious journals such as Sensors, Nutrients and IEEE Transactions on Multimedia.

In The Last Decade

Ya Lu

13 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya Lu Switzerland 9 147 57 57 52 35 13 260
Joachim Dehais Switzerland 8 208 1.4× 55 1.0× 144 2.5× 60 1.2× 39 1.1× 13 415
Thomai Stathopoulou Switzerland 11 171 1.2× 59 1.0× 69 1.2× 82 1.6× 38 1.1× 12 403
Anand Mariappan United States 5 210 1.4× 69 1.2× 69 1.2× 52 1.0× 13 0.4× 11 312
Yaofeng Yue United States 10 228 1.6× 39 0.7× 105 1.8× 46 0.9× 3 0.1× 12 353
Zeman Shao United States 7 86 0.6× 6 0.1× 48 0.8× 22 0.4× 16 0.5× 13 229
Daniel Kirk United States 9 100 0.7× 28 0.5× 8 0.1× 60 1.2× 81 2.3× 29 384
Alejandro Taláminos-Barroso Spain 7 19 0.1× 22 0.4× 58 1.0× 48 0.9× 9 0.3× 10 257
Lillian F. Pinault United States 4 41 0.3× 46 0.8× 22 0.4× 20 0.4× 50 1.4× 4 186
Takumi Ege Japan 10 175 1.2× 7 0.1× 172 3.0× 25 0.5× 4 0.1× 12 305
Dario Allegra Italy 8 65 0.4× 8 0.1× 55 1.0× 4 0.1× 7 0.2× 27 242

Countries citing papers authored by Ya Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ya Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Lu

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

All Works

13 of 13 papers shown
1.
Vasiloglou, Maria F., et al.. (2021). The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App. JMIR mhealth and uhealth. 9(1). e24467–e24467. 13 indexed citations
2.
Vasiloglou, Maria F., Stergios Christodoulidis, Emilie Reber, et al.. (2021). Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study. JMIR mhealth and uhealth. 9(7). e27885–e27885. 22 indexed citations
3.
Lu, Ya, Thomai Stathopoulou, & Stavroula Mougiakakou. (2021). Partially Supervised Multi-Task Network for Single-View Dietary Assessment. 8156–8163. 8 indexed citations
4.
5.
Vasiloglou, Maria F., Ya Lu, Thomai Stathopoulou, et al.. (2020). Assessing Mediterranean Diet Adherence with the Smartphone: The Medipiatto Project. Nutrients. 12(12). 3763–3763. 17 indexed citations
6.
Lu, Ya, Thomai Stathopoulou, Maria F. Vasiloglou, et al.. (2020). An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. IEEE Transactions on Multimedia. 23. 1136–1147. 50 indexed citations
7.
Vasiloglou, Maria F., Stergios Christodoulidis, Emilie Reber, et al.. (2020). What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey. Nutrients. 12(8). 2214–2214. 40 indexed citations
8.
Lu, Ya, Thomai Stathopoulou, Maria F. Vasiloglou, et al.. (2020). goFOODTM: An Artificial Intelligence System for Dietary Assessment. Sensors. 20(15). 4283–4283. 59 indexed citations
9.
Lu, Ya, Thomai Stathopoulou, Maria F. Vasiloglou, et al.. (2019). An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. PubMed. 2019. 5696–5699. 23 indexed citations
10.
Ming, Wuyi, Hongmei Zhang, Xiaoke Li, et al.. (2019). Defect detection of LGP based on combined classifier with dynamic weights. Measurement. 143. 211–225. 23 indexed citations
11.
He, Yuqing, et al.. (2018). Specific Shape Feature for Fast Pedestrian Detection in Cascade Way. 22. 335–339. 1 indexed citations
12.
13.
He, Yuqing, Ya Lu, Xiaoyan Zhang, & Weiqi Jin. (2012). Location precision analysis of stereo thermal anti-sniper detection system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8353. 83533I–83533I. 1 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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2026