Bihter Daş

438 total citations
37 papers, 238 citations indexed

About

Bihter Daş is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Bihter Daş has authored 37 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Bihter Daş's work include Machine Learning in Bioinformatics (11 papers), Fractal and DNA sequence analysis (8 papers) and Topic Modeling (6 papers). Bihter Daş is often cited by papers focused on Machine Learning in Bioinformatics (11 papers), Fractal and DNA sequence analysis (8 papers) and Topic Modeling (6 papers). Bihter Daş collaborates with scholars based in Türkiye, Spain and Poland. Bihter Daş's co-authors include Suat Toraman, Resul Daş, İbrahim Türkoğlu, Seval Yılmaz and Harun Uslu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Fusion.

In The Last Decade

Bihter Daş

30 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bihter Daş Türkiye 10 76 72 23 23 19 37 238
Weng Howe Chan Malaysia 8 75 1.0× 48 0.7× 11 0.5× 11 0.5× 2 0.1× 41 211
Vipin Kumar India 6 13 0.2× 43 0.6× 13 0.6× 21 0.9× 10 0.5× 23 144
Bisakha Ray United States 6 38 0.5× 82 1.1× 2 0.1× 5 0.2× 2 0.1× 12 196
Bouchra El Asri Morocco 6 29 0.4× 125 1.7× 3 0.1× 5 0.2× 4 0.2× 62 215
Shadman Sakib Bangladesh 8 6 0.1× 84 1.2× 5 0.2× 12 0.5× 2 0.1× 27 186
Favorisen Rosyking Lumbanraja Indonesia 7 119 1.6× 65 0.9× 14 0.6× 3 0.1× 1 0.1× 43 247
Oliver Eberle Germany 5 16 0.2× 174 2.4× 24 1.0× 2 0.1× 11 241
Marïa José Ramírez-Quintana Spain 8 12 0.2× 165 2.3× 11 0.5× 6 0.3× 28 226
Hong-Woo Chun South Korea 9 195 2.6× 188 2.6× 10 0.4× 3 0.2× 20 304

Countries citing papers authored by Bihter Daş

Since Specialization
Citations

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

Fields of papers citing papers by Bihter Daş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bihter Daş

This figure shows the co-authorship network connecting the top 25 collaborators of Bihter Daş. A scholar is included among the top collaborators of Bihter Daş 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 Bihter Daş. Bihter Daş 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.
Daş, Bihter, et al.. (2025). A novel system for strengthening security in large language models against hallucination and injection attacks with effective strategies. Alexandria Engineering Journal. 123. 71–90. 1 indexed citations
2.
Daş, Bihter, et al.. (2025). A new hybrid approach combining transformer-based language models and graph neural networks for cryptocurrency forecasting. Engineering Applications of Artificial Intelligence. 164. 113179–113179.
3.
Uslu, Harun, et al.. (2025). Discovery of new anti-HIV candidate molecules with an AI-based multi-stage system approach using molecular docking and ADME predictions. Chemometrics and Intelligent Laboratory Systems. 267. 105543–105543. 1 indexed citations
4.
Daş, Bihter, et al.. (2025). GAINET: Enhancing drug–drug interaction predictions through graph neural networks and attention mechanisms. Chemometrics and Intelligent Laboratory Systems. 259. 105337–105337. 4 indexed citations
5.
Toraman, Suat & Bihter Daş. (2025). Interaction Prediction on BACE-1 Inhibitors Data for Alzheimer Disease using Message Passing Neural Network. DergiPark (Istanbul University). 4(1). 72–84.
6.
Daş, Bihter, et al.. (2024). A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis. Expert Systems with Applications. 255. 124852–124852. 18 indexed citations
7.
Daş, Bihter, et al.. (2024). TAC-Trimodal Affective Computing: Principles, integration process, affective detection, challenges, and solutions. Displays. 83. 102731–102731. 3 indexed citations
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Daş, Bihter, et al.. (2024). A novel hybrid model combining Vision Transformers and Graph Convolutional Networks for monkeypox disease effective diagnosis. Information Fusion. 117. 102858–102858. 7 indexed citations
11.
Daş, Bihter, et al.. (2024). Exploring climate change discourse on social media and blogs using a topic modeling analysis. Heliyon. 10(11). e32464–e32464. 12 indexed citations
12.
Daş, Bihter, et al.. (2024). How Do Students Feel in Online Learning Platforms? How They Tell It: How Does Artificial Intelligence Make a Difference?. Sakarya University Journal of Education. 14(Special Issue-AI in Education). 250–267. 1 indexed citations
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Daş, Bihter & Suat Toraman. (2023). New Coronavirus 2 (SARS-CoV-2) Detection Method from Human Nucleic Acid Sequences Using Capsule Networks. Brazilian Archives of Biology and Technology. 66. 3 indexed citations
16.
Daş, Bihter, et al.. (2022). Actionable Data Visualization for Air Quality Data in the Istanbul Location. Balkan Journal of Electrical and Computer Engineering. 10(4). 397–401.
17.
Daş, Bihter. (2022). An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences. Chemometrics and Intelligent Laboratory Systems. 230. 104680–104680. 6 indexed citations
18.
Daş, Bihter, et al.. (2022). Effective prediction of drug – target interaction on HIV using deep graph neural networks. Chemometrics and Intelligent Laboratory Systems. 230. 104676–104676. 14 indexed citations
19.
Daş, Bihter, et al.. (2022). A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-2. Chemometrics and Intelligent Laboratory Systems. 229. 104640–104640. 18 indexed citations
20.
Daş, Bihter & Suat Toraman. (2020). Classifying Protein Sequences Using Convolutional Neural Network. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 9(4). 1663–1671. 3 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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