Ali Yürekli

525 total citations · 1 hit paper
6 papers, 346 citations indexed

About

Ali Yürekli is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ali Yürekli has authored 6 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Ali Yürekli's work include Recommender Systems and Techniques (3 papers), Advanced Text Analysis Techniques (2 papers) and Music and Audio Processing (2 papers). Ali Yürekli is often cited by papers focused on Recommender Systems and Techniques (3 papers), Advanced Text Analysis Techniques (2 papers) and Music and Audio Processing (2 papers). Ali Yürekli collaborates with scholars based in Türkiye. Ali Yürekli's co-authors include Alper Bilge, Cihan Kaleli, Zeynep Batmaz and Özgür Yılmazel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence Review and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Ali Yürekli

6 papers receiving 319 citations

Hit Papers

align trajectories sort by overperformance

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.

A review on deep learning for recommender systems: challenges and remedies

2018 330 citations Zeynep Batmaz, Ali Yürekli et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Yürekli Türkiye	3	232	178	85	41	34	6	346
Zeynep Batmaz Türkiye	5	273 1.2×	206 1.2×	90 1.1×	51 1.2×	37 1.1×	10	392
Sunita Barve India	7	174 0.8×	128 0.7×	67 0.8×	60 1.5×	29 0.9×	36	313
Sheetal Girase India	6	230 1.0×	119 0.7×	88 1.0×	29 0.7×	28 0.8×	14	295
Hansu Gu United States	14	237 1.0×	201 1.1×	67 0.8×	43 1.0×	23 0.7×	51	360
Xiaowei Xu China	9	287 1.2×	133 0.7×	121 1.4×	97 2.4×	38 1.1×	39	396
Rahul Pandey United States	4	222 1.0×	319 1.8×	79 0.9×	43 1.0×	65 1.9×	11	465
Anh Duc Duong Vietnam	3	205 0.9×	190 1.1×	163 1.9×	38 0.9×	23 0.7×	6	367
Benedikt Loepp Germany	8	332 1.4×	230 1.3×	126 1.5×	32 0.8×	39 1.1×	22	432
Yeon-Chang Lee South Korea	12	254 1.1×	266 1.5×	131 1.5×	44 1.1×	35 1.0×	35	429
Xuezhi Cao China	10	241 1.0×	300 1.7×	84 1.0×	39 1.0×	23 0.7×	21	408

Countries citing papers authored by Ali Yürekli

Since Specialization

Citations

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

Fields of papers citing papers by Ali Yürekli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Yürekli

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

All Works

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6 of 6 papers shown

1.

Yürekli, Ali. (2023). ON THE EFFECTIVENESS OF PARAGRAPH VECTOR MODELS IN DOCUMENT SIMILARITY ESTIMATION FOR TURKISH NEWS CATEGORIZATION. DergiPark (Istanbul University). 24(1). 23–34. 2 indexed citations

2.

Yürekli, Ali, et al.. (2022). EduFERA: A Real-Time Student Facial Emotion Recognition Approach. European Journal of Science and Technology. 1 indexed citations

3.

Yürekli, Ali, et al.. (2021). TRODO: A public vehicle odometers dataset for computer vision. SHILAP Revista de lepidopterología. 38. 107321–107321. 1 indexed citations

4.

Yürekli, Ali, Cihan Kaleli, & Alper Bilge. (2021). Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexing. International Journal of Multimedia Information Retrieval. 10(3). 185–198. 6 indexed citations

5.

Yürekli, Ali, Alper Bilge, & Cihan Kaleli. (2021). Exploring playlist titles for cold-start music recommendation: an effectiveness analysis. Journal of Ambient Intelligence and Humanized Computing. 12(11). 10125–10144. 6 indexed citations

6.

Batmaz, Zeynep, Ali Yürekli, Alper Bilge, & Cihan Kaleli. (2018). A review on deep learning for recommender systems: challenges and remedies. Artificial Intelligence Review. 52(1). 1–37. 330 indexed citations breakdown →

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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