X. Rosalind Wang

1.1k total citations
40 papers, 577 citations indexed

About

X. Rosalind Wang is a scholar working on Biomedical Engineering, Molecular Biology and Astronomy and Astrophysics. According to data from OpenAlex, X. Rosalind Wang has authored 40 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 9 papers in Molecular Biology and 8 papers in Astronomy and Astrophysics. Recurrent topics in X. Rosalind Wang's work include Advanced Chemical Sensor Technologies (12 papers), Analytical Chemistry and Chromatography (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). X. Rosalind Wang is often cited by papers focused on Advanced Chemical Sensor Technologies (12 papers), Analytical Chemistry and Chromatography (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). X. Rosalind Wang collaborates with scholars based in Australia, United States and China. X. Rosalind Wang's co-authors include Joseph T. Lizier, Mikhail Prokopenko, Amalia Z. Berna, Stephen Trowell, Oliver Obst, Julie Cassells, Mike Li, Louis F. Rossi, James McCarthy and R. P. Norris and has published in prestigious journals such as PLoS ONE, Monthly Notices of the Royal Astronomical Society and The Journal of Infectious Diseases.

In The Last Decade

X. Rosalind Wang

34 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
X. Rosalind Wang Australia 15 191 103 96 77 74 40 577
Alexey V. Melkikh Russia 15 68 0.4× 221 2.1× 177 1.8× 161 2.1× 54 0.7× 92 747
David Allingham Australia 10 13 0.1× 37 0.4× 79 0.8× 34 0.4× 54 0.7× 28 370
Hubertus F. von Bremen United States 12 17 0.1× 22 0.2× 205 2.1× 23 0.3× 16 0.2× 17 497
Thomas W Murphy United States 14 65 0.3× 41 0.4× 347 3.6× 85 1.1× 33 0.4× 62 989
Yujia Zhang China 18 66 0.3× 112 1.1× 685 7.1× 11 0.1× 9 0.1× 59 1.2k
David Andrews United States 21 98 0.5× 263 2.6× 18 0.2× 5 0.1× 5 0.1× 100 1.5k
Jianye Zhao China 15 43 0.2× 26 0.3× 73 0.8× 5 0.1× 38 0.5× 88 782
J. C. Sartorelli Brazil 17 114 0.6× 28 0.3× 361 3.8× 11 0.1× 77 1.0× 49 692
Artemy Kolchinsky United States 13 28 0.1× 129 1.3× 171 1.8× 32 0.4× 202 2.7× 36 687

Countries citing papers authored by X. Rosalind Wang

Since Specialization
Citations

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

Fields of papers citing papers by X. Rosalind Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X. Rosalind Wang. 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 X. Rosalind Wang. The network helps show where X. Rosalind Wang may publish in the future.

Co-authorship network of co-authors of X. Rosalind Wang

This figure shows the co-authorship network connecting the top 25 collaborators of X. Rosalind Wang. A scholar is included among the top collaborators of X. Rosalind Wang 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 X. Rosalind Wang. X. Rosalind Wang 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
2.
Wang, X. Rosalind, et al.. (2026). Research advances on whole grains benefit on metabolic syndrome via gut homeostasis regulation. Critical Reviews in Food Science and Nutrition. 1–26.
3.
Huang, Jingyi, et al.. (2026). The influence of W and V elements on the mechanical properties and fracture ignition behavior of TiZrNb-based high-entropy alloys. International Journal of Refractory Metals and Hard Materials. 137. 107684–107684.
4.
Gupta, N., R. P. Norris, Zeeshan Hayder, et al.. (2025). Discovery of odd radio circles and other peculiars in the first year of the EMU survey using object detection. Publications of the Astronomical Society of Australia. 42.
5.
Wang, X. Rosalind, et al.. (2025). Maximizing economic and sustainable energy transition: An integrated framework for renewable energy communities. Energy. 317. 134544–134544. 7 indexed citations
6.
Gupta, N., R. P. Norris, Zeeshan Hayder, et al.. (2024). RG-CAT: Detection pipeline and catalogue of radio galaxies in the EMU pilot survey. Publications of the Astronomical Society of Australia. 41. 3 indexed citations
7.
Vantyghem, A. N., Timothy J. Galvin, C. P. O’Dea, et al.. (2024). Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images. Astronomy and Computing. 47. 100824–100824. 4 indexed citations
8.
Berna, Amalia Z., et al.. (2024). Breath Biomarkers of Pediatric Malaria: Reproducibility and Response to Antimalarial Therapy. The Journal of Infectious Diseases. 230(4). 1013–1022. 1 indexed citations
9.
Berna, Amalia Z., et al.. (2023). Evaluation of performance of metal oxide electronic nose for detection of aflatoxin in artificially and naturally contaminated maize. Sensors and Actuators B Chemical. 381. 133446–133446. 18 indexed citations
10.
Norris, R. P., et al.. (2022). Estimating galaxy redshift in radio-selected datasets using machine learning. Astronomy and Computing. 39. 100557–100557. 4 indexed citations
11.
Gupta, N., Minh Huynh, R. P. Norris, et al.. (2022). Discovery of peculiar radio morphologies with ASKAP using unsupervised machine learning. Publications of the Astronomical Society of Australia. 39. 15 indexed citations
12.
Galvin, Timothy J., Minh Huynh, R. P. Norris, et al.. (2020). Cataloguing the radio-sky with unsupervised machine learning: a new approach for the SKA era. Monthly Notices of the Royal Astronomical Society. 497(3). 2730–2758. 38 indexed citations
13.
Li, Mike & X. Rosalind Wang. (2019). Peak alignment of gas chromatography–mass spectrometry data with deep learning. Journal of Chromatography A. 1604. 460476–460476. 34 indexed citations
14.
Berna, Amalia Z., et al.. (2018). Diurnal variation in expired breath volatiles in malaria-infected and healthy volunteers. Journal of Breath Research. 12(4). 46014–46014. 13 indexed citations
15.
Cliff, Oliver M., Joseph T. Lizier, X. Rosalind Wang, et al.. (2017). Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics. Artificial Life. 23(1). 34–57. 14 indexed citations
16.
Wang, X. Rosalind, Joseph T. Lizier, Thomas Nowotny, et al.. (2014). Feature Selection for Chemical Sensor Arrays Using Mutual Information. PLoS ONE. 9(3). e89840–e89840. 16 indexed citations
17.
Wang, X. Rosalind, et al.. (2012). Quantifying and Tracing Information Cascades in Swarms. PLoS ONE. 7(7). e40084–e40084. 65 indexed citations
18.
Wang, X. Rosalind, Joseph T. Lizier, & Mikhail Prokopenko. (2010). A Fisher Information Study of Phase Transitions in Random Boolean Networks. Artificial Life. 305–312. 4 indexed citations
19.
Obst, Oliver, X. Rosalind Wang, & Mikhail Prokopenko. (2008). Using Echo State Networks for Anomaly Detection in Underground Coal Mines. 219–229. 14 indexed citations
20.
Held, Jason M., et al.. (2007). Supply requirement prediction during long duration space missions using Bayesian estimation. International Journal of Logistics Research and Applications. 10(4). 351–366. 2 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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