Llion Jones

11.9k total citations · 2 hit papers
11 papers, 2.2k citations indexed

About

Llion Jones is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Organic Chemistry. According to data from OpenAlex, Llion Jones has authored 11 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Organic Chemistry. Recurrent topics in Llion Jones's work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Llion Jones is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Llion Jones collaborates with scholars based in United States, United Kingdom and Netherlands. Llion Jones's co-authors include Ghalia Rehawi, Christian Dallago, Tom Gibbs, Christoph Angerer, Ahmed Elnaggar, T. Fehér, Burkhard Rost, Yu Wang, Michael Heinzinger and Debsindhu Bhowmik and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry B and Frontiers in Psychology.

In The Last Decade

Llion Jones

10 papers receiving 2.1k citations

Hit Papers

ProtTrans: Toward Understanding the Language of Life Thro... 2019 2026 2021 2023 2021 2019 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Llion Jones United States 7 1.1k 954 395 192 162 11 2.2k
Yu‐Yen Ou Taiwan 24 332 0.3× 1.2k 1.3× 83 0.2× 144 0.8× 43 0.3× 73 1.8k
Siqi Sun China 14 605 0.6× 761 0.8× 180 0.5× 142 0.7× 118 0.7× 46 1.9k
Demi Guo United States 7 279 0.3× 1.3k 1.3× 106 0.3× 244 1.3× 61 0.4× 9 1.7k
Abdollah Dehzangi United States 32 367 0.3× 2.6k 2.7× 177 0.4× 472 2.5× 27 0.2× 102 3.5k
Liang Huang United States 20 1.3k 1.3× 718 0.8× 177 0.4× 167 0.9× 75 0.5× 73 2.1k
Xiucai Ye Japan 18 184 0.2× 801 0.8× 85 0.2× 219 1.1× 46 0.3× 101 1.2k
Seonwoo Min South Korea 17 262 0.2× 1.7k 1.8× 89 0.2× 128 0.7× 16 0.1× 32 2.3k
Alfonso Rodríguez‐Patón Spain 25 262 0.2× 1.7k 1.8× 96 0.2× 557 2.9× 31 0.2× 86 2.2k
Maqsood Hayat Pakistan 36 258 0.2× 3.0k 3.1× 77 0.2× 471 2.5× 37 0.2× 72 3.5k
Alex Wang United States 10 2.2k 2.1× 115 0.1× 665 1.7× 37 0.2× 290 1.8× 19 3.2k

Countries citing papers authored by Llion Jones

Since Specialization
Citations

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

Fields of papers citing papers by Llion Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Llion Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Llion Jones. A scholar is included among the top collaborators of Llion Jones 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 Llion Jones. Llion Jones is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Robertson, Claire, Llion Jones, J. S. Loveday, et al.. (2025). Subcritical Determination of the Frenkel Line in Liquid Nitrogen, the Emergent Final Picture, and a Universal Equation for the Coordination Number of Real Fluids. The Journal of Physical Chemistry B. 129(13). 3420–3427. 1 indexed citations
2.
Jones, Llion, et al.. (2025). Transformer Layers as Painters. Proceedings of the AAAI Conference on Artificial Intelligence. 39(24). 25219–25227. 1 indexed citations
4.
Jones, Llion, et al.. (2023). Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation. Transactions of the Association for Computational Linguistics. 11. 85–101. 1 indexed citations
5.
Elnaggar, Ahmed, Michael Heinzinger, Christian Dallago, et al.. (2021). ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 7112–7127. 1057 indexed citations breakdown →
6.
Kwiatkowski, Tom, Jennimaria Palomaki, Michael Collins, et al.. (2019). Natural Questions: A Benchmark for Question Answering Research. Transactions of the Association for Computational Linguistics. 7. 453–466. 984 indexed citations breakdown →
7.
Jones, Llion, David E. Golan, Sammy A. Hanna, & Manoj Ramachandran. (2018). Artificial intelligence, machine learning and the evolution of healthcare. Bone and Joint Research. 7(3). 223–225. 91 indexed citations
8.
Kenter, Tom, Llion Jones, & Daniel Hewlett. (2018). Byte-Level Machine Reading Across Morphologically Varied Languages. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 9 indexed citations
9.
Hewlett, Daniel, Llion Jones, Alexandre Lacoste, & İzzeddin Gür. (2017). Accurate Supervised and Semi-Supervised Machine Reading for Long Documents. 2011–2020. 13 indexed citations
10.
Jones, Llion, et al.. (2016). Implicit Detection of Poetic Harmony by the Naïve Brain. Frontiers in Psychology. 7. 1859–1859. 12 indexed citations
11.
Hewlett, Daniel, Alexandre Lacoste, Llion Jones, et al.. (2016). WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia. 49 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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