Cihan Kaleli

1.3k total citations · 1 hit paper
29 papers, 854 citations indexed

About

Cihan Kaleli is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Cihan Kaleli has authored 29 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 20 papers in Artificial Intelligence and 6 papers in Sociology and Political Science. Recurrent topics in Cihan Kaleli's work include Recommender Systems and Techniques (25 papers), Privacy-Preserving Technologies in Data (11 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Cihan Kaleli is often cited by papers focused on Recommender Systems and Techniques (25 papers), Privacy-Preserving Technologies in Data (11 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Cihan Kaleli collaborates with scholars based in Türkiye and Iraq. Cihan Kaleli's co-authors include Alper Bilge, Zeynep Batmaz, Hüseyin Polat, Ali Yürekli, İhsan Güneş and Özgür Yılmazel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Cihan Kaleli

28 papers receiving 817 citations

Hit Papers

A review on deep learning for recommender systems: challe... 2018 2026 2020 2023 2018 100 200 300
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.

  1. 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 Career Trend Papers Cites
Cihan Kaleli Türkiye 12 666 457 178 123 115 29 854
Haifeng Liu China 12 582 0.9× 353 0.8× 259 1.5× 125 1.0× 118 1.0× 33 834
Jinoh Oh South Korea 14 812 1.2× 662 1.4× 324 1.8× 153 1.2× 137 1.2× 30 1.1k
Pipei Huang China 7 654 1.0× 549 1.2× 299 1.7× 125 1.0× 53 0.5× 10 952
Xiwang Yang China 9 841 1.3× 504 1.1× 192 1.1× 291 2.4× 114 1.0× 15 1.1k
Chumki Basu United States 8 621 0.9× 304 0.7× 228 1.3× 123 1.0× 94 0.8× 22 807
Jianxun Lian China 16 897 1.3× 814 1.8× 247 1.4× 110 0.9× 98 0.9× 42 1.2k
Haggai Roitman Israel 19 402 0.6× 478 1.0× 142 0.8× 124 1.0× 56 0.5× 75 869
Leandro Balby Marinho Brazil 15 794 1.2× 490 1.1× 242 1.4× 177 1.4× 90 0.8× 51 1.1k
Wensi Xi United States 10 810 1.2× 510 1.1× 292 1.6× 168 1.4× 77 0.7× 17 1.1k

Countries citing papers authored by Cihan Kaleli

Since Specialization
Citations

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

Fields of papers citing papers by Cihan Kaleli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cihan Kaleli

This figure shows the co-authorship network connecting the top 25 collaborators of Cihan Kaleli. A scholar is included among the top collaborators of Cihan Kaleli 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 Cihan Kaleli. Cihan Kaleli 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.
Batmaz, Zeynep, et al.. (2025). A novel missing value imputation for multi-criteria recommender systems. Information Sciences. 712. 122139–122139.
2.
Batmaz, Zeynep & Cihan Kaleli. (2024). A hybrid multi-criteria recommendation algorithm based on autoencoders. Pamukkale University Journal of Engineering Sciences. 30(2). 212–221. 1 indexed citations
3.
Yılmazel, Özgür, et al.. (2024). An Approach for Multi-Context-Aware Multi-Criteria Recommender Systems Based on Deep Learning. IEEE Access. 12. 99936–99948. 9 indexed citations
4.
Kaleli, Cihan, et al.. (2023). A novel classification‐based shilling attack detection approach for multi‐criteria recommender systems. Computational Intelligence. 39(3). 499–528. 4 indexed citations
5.
Kaleli, Cihan, et al.. (2022). Robustness Analysis of Multi-Criteria Top-n Collaborative Recommender System. Arabian Journal for Science and Engineering. 48(8). 10189–10212. 2 indexed citations
6.
Kaleli, Cihan, et al.. (2022). A novel top-n recommendation method for multi-criteria collaborative filtering. Expert Systems with Applications. 198. 116695–116695. 14 indexed citations
7.
Kaleli, Cihan, et al.. (2021). Item Genre-Based Users Similarity Measure for Recommender Systems. Applied Sciences. 11(13). 6108–6108. 1 indexed citations
8.
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
9.
Batmaz, Zeynep & Cihan Kaleli. (2019). AE-MCCF: An Autoencoder-Based Multi-criteria Recommendation Algorithm. Arabian Journal for Science and Engineering. 44(11). 9235–9247. 24 indexed citations
10.
Batmaz, Zeynep, Özgür Yılmazel, & Cihan Kaleli. (2019). Shilling attack detection in binary data: a classification approach. Journal of Ambient Intelligence and Humanized Computing. 11(6). 2601–2611. 22 indexed citations
11.
Yılmazel, Özgür, Alper Bilge, & Cihan Kaleli. (2019). Privacy-Aware Detection of Shilling Profiles on Arbitrarily Distributed Recommender Systems. IEEE Access. 7. 28863–28885. 1 indexed citations
12.
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 →
13.
Kaleli, Cihan, et al.. (2018). Dynamic k Neighbor Selection for Collaborative Filtering. SHILAP Revista de lepidopterología. 1–1. 5 indexed citations
14.
Batmaz, Zeynep & Cihan Kaleli. (2017). Methods of privacy preserving in collaborative filtering. 261–266. 6 indexed citations
15.
Kaleli, Cihan. (2013). An entropy-based neighbor selection approach for collaborative filtering. Knowledge-Based Systems. 56. 273–280. 59 indexed citations
16.
Kaleli, Cihan & Hüseyin Polat. (2013). PRIVACY-PRESERVING RANDOM PROJECTION-BASED RECOMMENDATIONS BASED ON DISTRIBUTED DATA. International Journal of Information Technology & Decision Making. 12(2). 201–232. 1 indexed citations
17.
Kaleli, Cihan & Hüseyin Polat. (2013). Privacy‐Preserving Naïve Bayesian Classifier–Based Recommendations on Distributed Data. Computational Intelligence. 31(1). 47–68. 11 indexed citations
18.
Kaleli, Cihan. (2012). Privacy-preserving concordance-based recommendations on vertically distributed data. 1. 19–24. 2 indexed citations
19.
Bilge, Alper, Cihan Kaleli, & Hüseyin Polat. (2010). ON BINARY SIMILARITY MEASURES FOR PRIVACY-PRESERVING TOP-N RECOMMENDATIONS. 299–304. 1 indexed citations
20.
Kaleli, Cihan & Hüseyin Polat. (2009). Similar or Dissimilar Users? Or Both?. 43. 184–189. 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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