Fan Yang-Turner

846 total citations
11 papers, 63 citations indexed

About

Fan Yang-Turner is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Fan Yang-Turner has authored 11 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in Fan Yang-Turner's work include Semantic Web and Ontologies (4 papers), Service-Oriented Architecture and Web Services (2 papers) and Bacteriophages and microbial interactions (2 papers). Fan Yang-Turner is often cited by papers focused on Semantic Web and Ontologies (4 papers), Service-Oriented Architecture and Web Services (2 papers) and Bacteriophages and microbial interactions (2 papers). Fan Yang-Turner collaborates with scholars based in United Kingdom and Vietnam. Fan Yang-Turner's co-authors include Lydia Lau, Derrick W. Crook, Dhavalkumar Thakker, Vania Dimitrova, Denis Volk, Yifei Xu, Ahmed Chiheb Ammari, Esther Robinson, A Sarah Walker and Marc Choisy and has published in prestigious journals such as Nucleic Acids Research, The Lancet Regional Health - Europe and International Journal of Distributed Systems and Technologies.

In The Last Decade

Fan Yang-Turner

11 papers receiving 63 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fan Yang-Turner United Kingdom	5	20	18	17	11	11	11	63
Yingtong Liu China	7	21 1.1×	62 3.4×	61 3.6×	13 1.2×	3 0.3×	15	151
Jonathan Lawson United States	6	14 0.7×	32 1.8×	11 0.6×	7 0.6×	13 1.2×	12	82
Gabe Rudy United States	5	12 0.6×	68 3.8×	13 0.8×	3 0.3×	6 0.5×	6	147
Kent Shefchek United States	6	6 0.3×	81 4.5×	36 2.1×	12 1.1×	9 0.8×	9	163
Vinhthuy Phan United States	8	11 0.6×	111 6.2×	30 1.8×	6 0.5×	21 1.9×	41	194
N.A. Shankaracharya India	8	12 0.6×	80 4.4×	38 2.2×	5 0.5×	7 0.6×	13	206
Marco Alvarado Cano United States	5	11 0.6×	29 1.6×	7 0.4×	21 1.9×		8	63
Tobias Walter Germany	5	37 1.9×	6 0.3×	41 2.4×	9 0.8×		16	144
Karen Kennedy United Kingdom	5	14 0.7×	63 3.5×	11 0.6×		16 1.5×	5	132

Countries citing papers authored by Fan Yang-Turner

Since Specialization

Citations

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

Fields of papers citing papers by Fan Yang-Turner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fan Yang-Turner. 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 Fan Yang-Turner. The network helps show where Fan Yang-Turner may publish in the future.

Co-authorship network of co-authors of Fan Yang-Turner

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

All Works

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11 of 11 papers shown

Walker, A Sarah, Marc Choisy, Martin Dedicoat, et al.. (2022). Mycobacterium tuberculosis transmission in Birmingham, UK, 2009–19: An observational study. The Lancet Regional Health - Europe. 17. 100361–100361. 12 indexed citations

Xu, Yifei, Fan Yang-Turner, Denis Volk, & Derrick W. Crook. (2020). NanoSPC: a scalable, portable, cloud compatible viral nanopore metagenomic data processing pipeline. Nucleic Acids Research. 48(W1). W366–W371. 14 indexed citations

Yang-Turner, Fan, Denis Volk, Philip W. Fowler, et al.. (2019). Scalable Pathogen Pipeline Platform (SP^3): Enabling Unified Genomic Data Analysis with Elastic Cloud Computing. ORCA Online Research @Cardiff (Cardiff University). 9. 478–480. 1 indexed citations

Yang-Turner, Fan, Jeremy Swann, Dona Foster, et al.. (2018). An Open-Source Azure Solution for Scalable Genomics Workflows. Oxford University Research Archive (ORA) (University of Oxford). 18. 39–40. 2 indexed citations

Thakker, Dhavalkumar, et al.. (2016). User Interaction with Linked Data. International Journal of Distributed Systems and Technologies. 7(1). 79–91. 4 indexed citations

Ammari, Ahmed Chiheb, et al.. (2013). Diverse blended learning. 7. 111–117. 3 indexed citations

Dimitrova, Vania, et al.. (2013). Exploring exploratory search. 1–8. 10 indexed citations

Yang-Turner, Fan, Lydia Lau, & Vania Dimitrova. (2012). A Model-Driven Prototype Evaluation to Elicit Requirements for a Sensemaking Support Tool. 380–385. 3 indexed citations

Yang-Turner, Fan & Lydia Lau. (2011). Extending use case diagrams to support requirements discovery. Zenodo (CERN European Organization for Nuclear Research). 32–35. 4 indexed citations

10.

Yang-Turner, Fan & Lydia Lau. (2011). A pragmatic strategy for creative requirements elicitation: From current work practice to future work practice. Zenodo (CERN European Organization for Nuclear Research). 28–31. 3 indexed citations

11.

Thakker, Dhavalkumar, et al.. (2011). A priori ontology modularisation in ill-defined domains. RMIT Research Repository (RMIT University Library). 167–170. 7 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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