James Lyons

2.4k total citations
39 papers, 1.8k citations indexed

About

James Lyons is a scholar working on Molecular Biology, Signal Processing and Artificial Intelligence. According to data from OpenAlex, James Lyons has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in James Lyons's work include Machine Learning in Bioinformatics (24 papers), Protein Structure and Dynamics (19 papers) and RNA and protein synthesis mechanisms (11 papers). James Lyons is often cited by papers focused on Machine Learning in Bioinformatics (24 papers), Protein Structure and Dynamics (19 papers) and RNA and protein synthesis mechanisms (11 papers). James Lyons collaborates with scholars based in Australia, Fiji and Japan. James Lyons's co-authors include Kuldip K. Paliwal, Abdollah Dehzangi, Alok Sharma, Rhys Heffernan, Abdul Sattar, Yaoqi Zhou, Yuedong Yang, Jihua Wang, Kamil Wójcicki and Tatsuhiko Tsunoda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

James Lyons

38 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Lyons Australia 22 1.5k 282 196 141 122 39 1.8k
Tanel Pärnamaa Estonia 5 599 0.4× 132 0.5× 73 0.4× 99 0.7× 228 1.9× 8 1.2k
Rui Kuang United States 24 987 0.7× 148 0.5× 57 0.3× 36 0.3× 249 2.0× 74 1.6k
Jerry Ma United States 6 1.3k 0.8× 245 0.9× 125 0.6× 150 1.1× 120 1.0× 7 1.7k
Seonwoo Min South Korea 17 1.7k 1.2× 128 0.5× 58 0.3× 41 0.3× 262 2.1× 32 2.3k
Alexander Schliep Germany 21 1.0k 0.7× 96 0.3× 42 0.2× 60 0.4× 470 3.9× 61 1.6k
Michael Krone Germany 18 376 0.3× 84 0.3× 72 0.4× 28 0.2× 58 0.5× 78 1.1k
Golan Yona United States 19 924 0.6× 65 0.2× 161 0.8× 81 0.6× 275 2.3× 39 1.2k
Qian‐Zhong Li China 26 1.9k 1.3× 220 0.8× 47 0.2× 9 0.1× 89 0.7× 98 2.3k
Deepak Bandyopadhyay United States 12 238 0.2× 99 0.4× 51 0.3× 53 0.4× 58 0.5× 30 795
Sajid Ahmed Saudi Arabia 18 287 0.2× 88 0.3× 23 0.1× 157 1.1× 85 0.7× 59 1.0k

Countries citing papers authored by James Lyons

Since Specialization
Citations

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

Fields of papers citing papers by James Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Lyons

This figure shows the co-authorship network connecting the top 25 collaborators of James Lyons. A scholar is included among the top collaborators of James Lyons 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 James Lyons. James Lyons 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.
Ferguson, Angela L., et al.. (2024). Cutaneous malignancies in chronic lymphocytic leukemia. The Journal of Dermatology. 51(3). 353–364. 1 indexed citations
2.
Lyons, James, et al.. (2018). Sibling Acoustics: Phonetic Measurements of the Vowels Produced by Three Brothers Who "Sound Alike". 7(1). 6. 1 indexed citations
3.
Nicolson, Aaron, Jack Hanson, James Lyons, & Kuldip K. Paliwal. (2018). Spectral Subband Centroids for Robust Speaker Identification Using Marginalization-based Missing Feature Theory. Griffith Research Online (Griffith University, Queensland, Australia). 6(1). 12–16. 5 indexed citations
4.
Yang, Yuedong, Rhys Heffernan, Kuldip K. Paliwal, et al.. (2016). SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks. Methods in molecular biology. 1484. 55–63. 132 indexed citations
5.
Lyons, James, Kuldip K. Paliwal, Abdollah Dehzangi, et al.. (2016). Protein fold recognition using HMM–HMM alignment and dynamic programming. Journal of Theoretical Biology. 393. 67–74. 28 indexed citations
6.
Sharma, Alok, Sunil Pranit Lal, Abdollah Dehzangi, et al.. (2015). Probabilistic expression of spatially varied amino acid dimers into general form of Chou׳s pseudo amino acid composition for protein fold recognition. Journal of Theoretical Biology. 380. 291–298. 22 indexed citations
7.
Heffernan, Rhys, Kuldip K. Paliwal, James Lyons, et al.. (2015). Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning. Scientific Reports. 5(1). 11476–11476. 270 indexed citations
8.
Paliwal, Kuldip K., James Lyons, & Rhys Heffernan. (2015). A Short Review of Deep Learning Neural Networks in Protein Structure Prediction Problems. 3(3). 15 indexed citations
9.
Sharma, Alok, Ronesh Sharma, Abdollah Dehzangi, et al.. (2015). Importance of dimensionality reduction in protein fold recognition. Griffith Research Online (Griffith University, Queensland, Australia). 6. 1–6. 1 indexed citations
10.
Sharma, Alok, Abdollah Dehzangi, James Lyons, et al.. (2014). Evaluation of Sequence Features from Intrinsically Disordered Regions for the Estimation of Protein Function. PLoS ONE. 9(2). e89890–e89890. 19 indexed citations
11.
Lyons, James, et al.. (2014). Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping. Journal of Theoretical Biology. 354. 137–145. 27 indexed citations
12.
Lyons, James, Abdollah Dehzangi, Rhys Heffernan, et al.. (2014). Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network. Journal of Computational Chemistry. 35(28). 2040–2046. 118 indexed citations
13.
Lal, Sunil Pranit, Abdollah Dehzangi, James Lyons, et al.. (2014). Genetic algorithm for an optimized weighted voting scheme incorporating k-separated bigram transition probabilities to improve protein fold recognition. Griffith Research Online (Griffith University, Queensland, Australia). 1–7. 3 indexed citations
14.
Dehzangi, Abdollah, Rhys Heffernan, Alok Sharma, et al.. (2014). Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC. Journal of Theoretical Biology. 364. 284–294. 222 indexed citations
15.
Paliwal, Kuldip K., Alok Sharma, James Lyons, & Abdollah Dehzangi. (2014). Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information. BMC Bioinformatics. 15(S16). S12–S12. 26 indexed citations
16.
Sharma, Alok, Sunil Pranit Lal, Abdollah Dehzangi, et al.. (2014). Protein Structural Class Prediction viak-Separated Bigrams Using Position Specific Scoring Matrix. Journal of Advanced Computational Intelligence and Intelligent Informatics. 18(4). 474–479. 21 indexed citations
17.
Sharma, Alok, Kuldip K. Paliwal, Abdollah Dehzangi, et al.. (2013). A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinformatics. 14(1). 233–233. 43 indexed citations
18.
Sharma, Alok, James Lyons, Abdollah Dehzangi, & Kuldip K. Paliwal. (2012). A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition. Journal of Theoretical Biology. 320. 41–46. 130 indexed citations
19.
Paliwal, Kuldip K., James Lyons, & Kamil Wójcicki. (2010). Preference for 20-40 ms window duration in speech analysis. Griffith Research Online (Griffith University, Queensland, Australia). 1–4. 39 indexed citations
20.

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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