Emrah Hançer

2.4k total citations · 1 hit paper
49 papers, 1.8k citations indexed

About

Emrah Hançer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Emrah Hançer has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Theory and Mathematics. Recurrent topics in Emrah Hançer's work include Metaheuristic Optimization Algorithms Research (22 papers), AI in cancer detection (9 papers) and Evolutionary Algorithms and Applications (9 papers). Emrah Hançer is often cited by papers focused on Metaheuristic Optimization Algorithms Research (22 papers), AI in cancer detection (9 papers) and Evolutionary Algorithms and Applications (9 papers). Emrah Hançer collaborates with scholars based in Türkiye, New Zealand and Spain. Emrah Hançer's co-authors include Derviş Karaboğa, Bing Xue, Mengjie Zhang, Celal Öztürk, Jun Zhang, Bahriye Akay, Refik Samet, Abdülhamit Subaşı, I. А. Hodashinsky and Serpil Dızbay Sak and has published in prestigious journals such as Information Sciences, IEEE Transactions on Evolutionary Computation and Machine Learning.

In The Last Decade

Emrah Hançer

46 papers receiving 1.7k citations

Hit Papers

Differential evolution for filter feature selection based... 2017 2026 2020 2023 2017 50 100 150 200 250
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. Differential evolution for filter feature selection based on information theory and feature ranking
    2017 296 citations Emrah Hançer, Bing Xue et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emrah Hançer Türkiye 19 1.2k 499 387 125 120 49 1.8k
Gehad Ismail Sayed Egypt 15 1.1k 0.9× 290 0.6× 361 0.9× 89 0.7× 144 1.2× 38 1.6k
Mohammad Bagher Dowlatshahi Iran 23 1.1k 0.9× 591 1.2× 311 0.8× 144 1.2× 71 0.6× 53 1.7k
Xianfang Song China 11 854 0.7× 320 0.6× 251 0.6× 86 0.7× 115 1.0× 18 1.2k
Mohammad Tubishat Jordan 16 1.1k 0.9× 244 0.5× 267 0.7× 64 0.5× 125 1.0× 35 1.5k
Nicolás García‐Pedrajas Spain 28 1.7k 1.3× 515 1.0× 293 0.8× 157 1.3× 105 0.9× 93 2.4k
Ran Wang China 28 1.5k 1.2× 614 1.2× 485 1.3× 100 0.8× 61 0.5× 88 2.4k
Changjing Shang United Kingdom 26 889 0.7× 492 1.0× 307 0.8× 73 0.6× 89 0.7× 162 2.2k
Rafael Stubs Parpinelli Brazil 13 811 0.7× 192 0.4× 263 0.7× 104 0.8× 68 0.6× 62 1.4k
Byung-Ro Moon South Korea 17 869 0.7× 250 0.5× 349 0.9× 140 1.1× 62 0.5× 75 1.6k

Countries citing papers authored by Emrah Hançer

Since Specialization
Citations

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

Fields of papers citing papers by Emrah Hançer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emrah Hançer

This figure shows the co-authorship network connecting the top 25 collaborators of Emrah Hançer. A scholar is included among the top collaborators of Emrah Hançer 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 Emrah Hançer. Emrah Hançer 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.
Hançer, Emrah, Bing Xue, & Mengjie Zhang. (2025). A Survey on Evolutionary Feature Selection in Multilabel Classification. IEEE Transactions on Evolutionary Computation. 30(1). 121–140. 3 indexed citations
2.
Hançer, Emrah, Bing Xue, & Mengjie Zhang. (2025). A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1226–1237.
3.
Hançer, Emrah, Bing Xue, & Mengjie Zhang. (2024). A Multiform Many-Objective Evolutionary Algorithm for Multilabel Feature Selection in Classification. IEEE Transactions on Evolutionary Computation. 29(6). 2715–2728. 1 indexed citations
4.
Hançer, Emrah, Bing Xue, & Mengjie Zhang. (2024). A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification. IEEE Transactions on Artificial Intelligence. 5(9). 4428–4442. 10 indexed citations
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Hançer, Emrah, Bing Xue, & Mengjie Zhang. (2024). Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3257–3270. 1 indexed citations
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Hançer, Emrah, et al.. (2023). An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images. Biomedical Signal Processing and Control. 83. 104720–104720. 10 indexed citations
10.
Hançer, Emrah, et al.. (2022). A Survey on Football Player Performance and Value Estimation Using Machine Learning Techniques. DergiPark (Istanbul University). 1 indexed citations
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12.
Hançer, Emrah, Bing Xue, & Mengjie Zhang. (2022). Fuzzy filter cost-sensitive feature selection with differential evolution. Knowledge-Based Systems. 241. 108259–108259. 28 indexed citations
13.
Hançer, Emrah, et al.. (2021). A wrapper metaheuristic framework for handwritten signature verification. Soft Computing. 25(13). 8665–8681. 7 indexed citations
14.
Hançer, Emrah, et al.. (2020). Histopatoloji Görüntülerde Derin Öğrenme Yöntemleri ile Çekirdek Segmentasyonu. European Journal of Science and Technology. 6 indexed citations
15.
Hançer, Emrah, Bing Xue, & Jun Zhang. (2017). Differential evolution for filter feature selection based on information theory and feature ranking. Knowledge-Based Systems. 140. 103–119. 296 indexed citations breakdown →
16.
Hançer, Emrah, Bing Xue, & Mengjie Zhang. (2017). A differential evolution based feature selection approach using an improved filter criterion. 1–8. 7 indexed citations
17.
Öztürk, Celal, Emrah Hançer, & Derviş Karaboğa. (2014). A novel binary artificial bee colony algorithm based on genetic operators. Information Sciences. 297. 154–170. 139 indexed citations
18.
Öztürk, Celal, Emrah Hançer, & Derviş Karaboğa. (2014). Dynamic clustering with improved binary artificial bee colony algorithm. Applied Soft Computing. 28. 69–80. 122 indexed citations
19.
Hançer, Emrah, Celal Öztürk, & Derviş Karaboğa. (2013). Extraction of brain tumors from MRI images with artificial bee colony based segmentation methodology. 516–520. 26 indexed citations
20.
Hançer, Emrah, Celal Öztürk, & Derviş Karaboğa. (2012). Artificial Bee Colony based image clustering method. 1–5. 35 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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