Chrisina Jayne

2.8k total citations · 1 hit paper
61 papers, 1.6k citations indexed

About

Chrisina Jayne is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chrisina Jayne has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Chrisina Jayne's work include Neural Networks and Applications (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Chrisina Jayne is often cited by papers focused on Neural Networks and Applications (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Chrisina Jayne collaborates with scholars based in United Kingdom, Greece and Spain. Chrisina Jayne's co-authors include Eyad Elyan, Ahmed Hussein, Mohamed Medhat Gaber, Carlos Francisco Moreno‐García, Victor Chang, Lazaros Iliadis, Qianwen Xu, Vasile Palade, James Shuttleworth and Rahat Iqbal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Chrisina Jayne

60 papers receiving 1.5k citations

Hit Papers

Imitation Learning 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chrisina Jayne United Kingdom 18 647 418 244 191 128 61 1.6k
Chao Gou China 25 785 1.2× 1.2k 3.0× 104 0.4× 219 1.1× 105 0.8× 93 2.4k
Adi Alhudhaif Saudi Arabia 27 630 1.0× 513 1.2× 71 0.3× 242 1.3× 222 1.7× 106 2.0k
Zaid Abdi Alkareem Alyasseri Iraq 28 948 1.5× 288 0.7× 315 1.3× 201 1.1× 449 3.5× 90 2.4k
Rahee Walambe India 21 391 0.6× 259 0.6× 207 0.8× 115 0.6× 259 2.0× 59 1.3k
Shruti Patil India 27 653 1.0× 227 0.5× 364 1.5× 134 0.7× 144 1.1× 115 2.2k
David Beymer United States 20 331 0.5× 1.5k 3.6× 124 0.5× 214 1.1× 130 1.0× 56 2.5k
Hamid Tairi Morocco 20 393 0.6× 721 1.7× 45 0.2× 172 0.9× 66 0.5× 170 1.4k
Siti Norul Huda Sheikh Abdullah Malaysia 25 531 0.8× 805 1.9× 96 0.4× 121 0.6× 149 1.2× 185 2.0k
Hoshang Kolivand United Kingdom 22 634 1.0× 789 1.9× 94 0.4× 328 1.7× 95 0.7× 128 2.0k
Mostafa A. Elhosseini Egypt 25 775 1.2× 341 0.8× 326 1.3× 231 1.2× 502 3.9× 108 2.1k

Countries citing papers authored by Chrisina Jayne

Since Specialization
Citations

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

Fields of papers citing papers by Chrisina Jayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chrisina Jayne

This figure shows the co-authorship network connecting the top 25 collaborators of Chrisina Jayne. A scholar is included among the top collaborators of Chrisina Jayne 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 Chrisina Jayne. Chrisina Jayne 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.
Moreno‐García, Carlos Francisco, Chrisina Jayne, Eyad Elyan, & Magaly Aceves‐Martins. (2023). A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews. Decision Analytics Journal. 6. 100162–100162. 24 indexed citations
2.
Iliadis, Lazaros, Ilias Maglogiannis, Serafí­n Alonso, Chrisina Jayne, & Elias Pimenidis. (2023). Engineering Applications of Neural Networks. Communications in computer and information science. 9 indexed citations
3.
Hall, Karl, Victor Chang, & Chrisina Jayne. (2022). A review on Natural Language Processing Models for COVID-19 research. SHILAP Revista de lepidopterología. 2. 100078–100078. 18 indexed citations
4.
Pimenidis, Elias, et al.. (2022). Artificial Neural Networks and Machine Learning – ICANN 2022. Lecture notes in computer science. 7 indexed citations
5.
MacIntyre, John, et al.. (2019). Engineering Applications of Neural Networks. Communications in computer and information science. 9 indexed citations
6.
Eastwood, Mark, et al.. (2018). Deep CNNs with Rotational Filters for Rotation Invariant Character Recognition. TeesRep (Teesside University). 2. 1–8.
7.
Hussein, Ahmed, Eyad Elyan, Mohamed Medhat Gaber, & Chrisina Jayne. (2017). Deep imitation learning for 3D navigation tasks. Neural Computing and Applications. 29(7). 389–404. 30 indexed citations
8.
Fernández‐Alemán, José Luis, et al.. (2016). The evaluation of i-SIDRA – a tool for intelligent feedback – in a course on the anatomy of the locomotor system. International Journal of Medical Informatics. 94. 172–181. 13 indexed citations
9.
Jayne, Chrisina & Lazaros Iliadis. (2016). Engineering Applications of Neural Networks: 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings. CERN Document Server (European Organization for Nuclear Research). 6 indexed citations
10.
Palade, Vasile, et al.. (2016). Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain Informatics. 3(4). 249–267. 86 indexed citations
11.
Fernández‐Alemán, José Luis, et al.. (2016). An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students. Journal of Medical Systems. 40(4). 85–85. 14 indexed citations
12.
Iliadis, Lazaros & Chrisina Jayne. (2015). Engineering Applications of Neural Networks: 16th International Conference, EANN 2015, Rhodes, Greece, September 25-28 2015.Proceedings. Springer eBooks. 4 indexed citations
13.
Iliadis, Lazaros & Chrisina Jayne. (2015). Engineering Applications of Neural Networks. Communications in computer and information science. 11 indexed citations
14.
Iliadis, Lazaros S., Harris Papadopoulos, & Chrisina Jayne. (2013). Engineering Applications of Neural Networks: 14th International Conference, EANN 2013, Halkidiki, Greece, September 2013, Proceedings, Part I. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
15.
Fernández‐Alemán, José Luis, Chrisina Jayne, Antonio Bernardo-Sánchez, Juan Manuel Carrillo de Gea, & Ambrosio Toval. (2012). Neural network-based data analysis for medical-surgical nursing learning. PubMed. 3. 6036–6039. 2 indexed citations
16.
Jayne, Chrisina, Andreas Lanitis, & Chris Christodoulou. (2012). One-to-many neural network mapping techniques for face image synthesis. Expert Systems with Applications. 39(10). 9778–9787. 4 indexed citations
17.
Jayne, Chrisina, et al.. (2012). Evaluation and Neuronal Network-Based Classification of the PHRs Privacy Policies. 3. 2840–2849. 5 indexed citations
19.
Palmer-Brown, Dominic & Chrisina Jayne. (2011). Snap–drift neural network for self-organisation and sequence learning. Neural Networks. 24(8). 897–905. 3 indexed citations
20.
Yang, Qingxiong, et al.. (2005). Learning the probability of correspondences without ground truth. 1140–1147 Vol. 2. 1 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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