Burcu Can

477 total citations
38 papers, 251 citations indexed

About

Burcu Can is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Burcu Can has authored 38 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 6 papers in Signal Processing and 4 papers in Information Systems. Recurrent topics in Burcu Can's work include Topic Modeling (28 papers), Natural Language Processing Techniques (25 papers) and Speech Recognition and Synthesis (7 papers). Burcu Can is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (25 papers) and Speech Recognition and Synthesis (7 papers). Burcu Can collaborates with scholars based in Türkiye, United Kingdom and Australia. Burcu Can's co-authors include Iqra Ameer, Grigori Sidorov, Alexander Gelbukh, Suresh Manandhar, Ahmet Üstün, Murathan Kurfalı, Sevil Şen, Ayça Tarhan, D. Dal and Ibrahim M. Ziyal and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computational Linguistics.

In The Last Decade

Burcu Can

35 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Burcu Can Türkiye 9 192 44 25 25 10 38 251
Mingyue Shang China 9 186 1.0× 46 1.0× 42 1.7× 10 0.4× 20 2.0× 23 267
Antti Puurula New Zealand 8 305 1.6× 63 1.4× 27 1.1× 39 1.6× 6 0.6× 10 336
Ammar Amjad Taiwan 8 229 1.2× 39 0.9× 14 0.6× 43 1.7× 7 0.7× 11 292
Dia AbuZeina Kuwait 9 260 1.4× 76 1.7× 24 1.0× 68 2.7× 10 1.0× 25 326
Géraldine Damnati France 8 260 1.4× 35 0.8× 32 1.3× 40 1.6× 6 0.6× 36 290
Xiaoxue Zang China 7 152 0.8× 67 1.5× 54 2.2× 9 0.4× 8 0.8× 23 223
Annajiat Alim Rasel Bangladesh 7 73 0.4× 32 0.7× 21 0.8× 13 0.5× 6 0.6× 70 164
Emilio Sanchís Spain 10 243 1.3× 20 0.5× 21 0.8× 15 0.6× 6 0.6× 44 261
Danish Pruthi United States 6 214 1.1× 17 0.4× 29 1.2× 43 1.7× 8 0.8× 12 231
Aman Chadha United States 8 83 0.4× 15 0.3× 49 2.0× 22 0.9× 7 0.7× 33 184

Countries citing papers authored by Burcu Can

Since Specialization
Citations

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

Fields of papers citing papers by Burcu Can

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burcu Can

This figure shows the co-authorship network connecting the top 25 collaborators of Burcu Can. A scholar is included among the top collaborators of Burcu Can 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 Burcu Can. Burcu Can 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.
Can, Burcu, et al.. (2024). Building a Turkish UCCA dataset. 31(1). 111–149.
2.
Can, Burcu, et al.. (2024). Semantically-Informed Graph Neural Networks for Irony Detection in Turkish. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(1). 1–20. 1 indexed citations
3.
Ameer, Iqra, et al.. (2023). Emotion Classification in Texts Over Graph Neural Networks: Semantic Representation is Better Than Syntactic. IEEE Access. 11. 56921–56934. 9 indexed citations
4.
Can, Burcu, et al.. (2022). A Siamese Neural Network for Learning Semantically-Informed Sentence Embeddings. Expert Systems with Applications. 214. 119103–119103. 15 indexed citations
5.
Can, Burcu, et al.. (2022). Joint learning of morphology and syntax with cross-level contextual information flow. Natural Language Engineering. 28(6). 763–795. 3 indexed citations
6.
Ameer, Iqra, et al.. (2022). Multi-label emotion classification in texts using transfer learning. Expert Systems with Applications. 213. 118534–118534. 67 indexed citations
7.
Filippova, Darya, Burcu Can, & Gloria Corpas Pastor. (2021). Bilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora. 58–64. 1 indexed citations
8.
Can, Burcu, et al.. (2021). A Cascaded Unsupervised Model for PoS Tagging. ACM Transactions on Asian and Low-Resource Language Information Processing. 20(1). 1–23. 4 indexed citations
9.
Can, Burcu, et al.. (2021). Attention: there is an inconsistency between android permissions and application metadata!. International Journal of Information Security. 20(6). 797–815. 8 indexed citations
10.
Şen, Sevil & Burcu Can. (2021). Android Security using NLP Techniques: A Review. arXiv (Cornell University). 2 indexed citations
11.
Can, Burcu, et al.. (2020). Self attended stack pointer networks for learning long term dependencies. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 90–100. 1 indexed citations
12.
Can, Burcu, et al.. (2020). Sarcasm Target Identification with LSTM Networks. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 1–4. 1 indexed citations
13.
Tarhan, Ayça, et al.. (2019). Neural Sentiment Analysis of User Reviews to Predict User Ratings. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 629–634. 8 indexed citations
14.
Can, Burcu, et al.. (2019). Turkish lexicon expansion by using finite state automata. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 1012–1027. 1 indexed citations
15.
Can, Burcu, et al.. (2019). Unsupervised Joint PoS Tagging and Stemming for Agglutinative Languages. ACM Transactions on Asian and Low-Resource Language Information Processing. 18(3). 1–21. 13 indexed citations
16.
Can, Burcu & Suresh Manandhar. (2013). An Agglomerative Hierarchical Clustering Algorithm for Labelling Morphs. Recent Advances in Natural Language Processing. 129–135. 1 indexed citations
17.
Can, Burcu & Suresh Manandhar. (2013). Dirichlet Processes for Joint Learning of Morphology and PoS Tags. International Joint Conference on Natural Language Processing. 1087–1091. 2 indexed citations
18.
Can, Burcu & Suresh Manandhar. (2012). Probabilistic Hierarchical Clustering of Morphological Paradigms. Conference of the European Chapter of the Association for Computational Linguistics. 654–663. 6 indexed citations
19.
Can, Burcu & Suresh Manandhar. (2009). Unsupervised Learning of Morphology by Using Syntactic Categories. CLEF (Working Notes). 6 indexed citations
20.
Ziyal, Ibrahim M., et al.. (2004). Cauda-filar paraganglioma with ?silk cocoon? appearance on spinal angiography. Acta Neurochirurgica. 147(1). 99–100. 6 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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