Victoria Wang

1.2k total citations
42 papers, 709 citations indexed

About

Victoria Wang is a scholar working on Sociology and Political Science, Information Systems and Communication. According to data from OpenAlex, Victoria Wang has authored 42 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 11 papers in Information Systems and 6 papers in Communication. Recurrent topics in Victoria Wang's work include Cybercrime and Law Enforcement Studies (7 papers), Privacy, Security, and Data Protection (6 papers) and Analog and Mixed-Signal Circuit Design (5 papers). Victoria Wang is often cited by papers focused on Cybercrime and Law Enforcement Studies (7 papers), Privacy, Security, and Data Protection (6 papers) and Analog and Mixed-Signal Circuit Design (5 papers). Victoria Wang collaborates with scholars based in United Kingdom, United States and China. Victoria Wang's co-authors include David Shepherd, John V. Tucker, Hui Fang, Mark Button, Jingjie Wang, Yining Hua, Haining Yin, Simon Edwards, Dewei Yi and Weijun Lin and has published in prestigious journals such as Journal of Clinical Epidemiology, Annals of Oncology and IEEE Access.

In The Last Decade

Victoria Wang

41 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria Wang United Kingdom 15 281 160 87 86 68 42 709
Pierangelo Rosati Ireland 18 352 1.3× 220 1.4× 20 0.2× 124 1.4× 141 2.1× 53 864
Arief Ramadhan Indonesia 13 130 0.5× 94 0.6× 28 0.3× 70 0.8× 31 0.5× 99 480
Suree Funilkul Thailand 19 189 0.7× 285 1.8× 39 0.4× 253 2.9× 156 2.3× 49 1.1k
Răzvan Nicolescu United Kingdom 11 124 0.4× 230 1.4× 36 0.4× 46 0.5× 109 1.6× 20 686
Jackson Phiri Zambia 12 103 0.4× 78 0.5× 43 0.5× 39 0.5× 38 0.6× 122 557
Andréa Cullen United Kingdom 17 345 1.2× 80 0.5× 81 0.9× 142 1.7× 280 4.1× 39 840
Trevor Clohessy Ireland 8 369 1.3× 147 0.9× 15 0.2× 87 1.0× 58 0.9× 28 646
Azah Anir Norman Malaysia 14 259 0.9× 271 1.7× 15 0.2× 208 2.4× 60 0.9× 54 810
Darmawan Napitupulu Indonesia 20 450 1.6× 127 0.8× 136 1.6× 221 2.6× 19 0.3× 109 1.1k
George Drosatos Greece 13 344 1.2× 144 0.9× 13 0.1× 246 2.9× 111 1.6× 50 636

Countries citing papers authored by Victoria Wang

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Wang. A scholar is included among the top collaborators of Victoria 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 Victoria Wang. Victoria 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
1.
Sangiorgi, Luca, Marina Mordenti, Victoria Wang, et al.. (2024). SATURN: assessing the feasibility of utilising existing registries for real-world evidence data collection to meet patients, regulatory, health technology assessment and payer requirements. Orphanet Journal of Rare Diseases. 19(1). 336–336. 1 indexed citations
2.
Sangiorgi, Luca, et al.. (2024). Project SATURN– a real-world evidence data collaboration with existing European datasets in Osteogenesis Imperfecta to support future therapies. Orphanet Journal of Rare Diseases. 19(1). 184–184. 1 indexed citations
3.
Liu, Xiyao, et al.. (2023). Semantics‐guided generative diffusion model with a 3DMM model condition for face swapping. Computer Graphics Forum. 42(7).
4.
Ku, Geoffrey Y., Liguo Shen, Hongming Pan, et al.. (2023). 1039P First-in-human phase I study of givastomig, a novel Claudin 18.2/4-1BB bispecific antibody in advanced solid tumors. Annals of Oncology. 34. S631–S631. 1 indexed citations
5.
Wang, Victoria & John V. Tucker. (2022). People watching: Abstractions and orthodoxies of monitoring. Technology in Society. 72. 102178–102178. 2 indexed citations
6.
Wang, Victoria & John V. Tucker. (2021). ‘I am not a number’: Conceptualising identity in digital surveillance. Technology in Society. 67. 101772–101772. 6 indexed citations
7.
Bigelow, David, Christopher A. Ahern, Victoria Wang, et al.. (2020). INSPIRE standards as a framework for artificial intelligence applications: a landslide example. Natural hazards and earth system sciences. 20(12). 3455–3483. 4 indexed citations
8.
Wang, Victoria, et al.. (2020). Internet banking in Nigeria: Cyber security breaches, practices and capability. International journal of law, crime and justice. 62. 100415–100415. 32 indexed citations
9.
Junger, Marianne, et al.. (2020). Fraud against businesses both online and offline: crime scripts, business characteristics, efforts, and benefits. Crime Science. 9(1). 20 indexed citations
10.
Wang, Victoria, David Shepherd, & Mark Button. (2019). The barriers to the opening of government data in the UK: A view from the bottom. Information Polity. 24(1). 59–74. 15 indexed citations
11.
Wang, Victoria & David Shepherd. (2019). Exploring the extent of openness of open government data – A critique of open government datasets in the UK. Government Information Quarterly. 37(1). 101405–101405. 69 indexed citations
12.
Marshall, Alasdair, Udechukwu Ojiako, Victoria Wang, Fenfang Lin, & Maxwell Chipulu. (2018). Forecasting unknown-unknowns by boosting the risk radar within the risk intelligent organisation. International Journal of Forecasting. 35(2). 644–658. 41 indexed citations
13.
Pradhan, Richeek, et al.. (2018). Automatic extraction of quantitative data from ClinicalTrials.gov to conduct meta-analyses. Journal of Clinical Epidemiology. 105. 92–100. 26 indexed citations
14.
Water, Erik de, Erika Proal, Victoria Wang, et al.. (2017). Prenatal manganese exposure and intrinsic functional connectivity of emotional brain areas in children. NeuroToxicology. 64. 85–93. 39 indexed citations
15.
Wang, Victoria & John V. Tucker. (2017). Surveillance and identity: conceptual framework and formal models. Cronfa (Swansea University). 3(3). 145–158. 7 indexed citations
16.
Wang, Victoria & John V. Tucker. (2016). Phatic systems in digital society. Technology in Society. 46. 140–148. 4 indexed citations
17.
Wang, Victoria, John V. Tucker, & Kevin Haines. (2013). Viewing Cybercommunities through the Lens of Modernity. RePEc: Research Papers in Economics. 5(1). 75–90. 3 indexed citations
18.
Wang, Victoria, John V. Tucker, & T. E. Rihll. (2011). On Phatic Technologies for Creating and Maintaining Human Relationships. SSRN Electronic Journal. 1 indexed citations
19.
Wang, Victoria, Kevin Haines, & John V. Tucker. (2011). Deviance and Control in Communities with Perfect Surveillance – The Case of Second Life. Surveillance & Society. 9(1/2). 31–46. 4 indexed citations
20.
Wang, Victoria & Dejan Marković. (2008). Linear analysis of random process variability. 292–296. 5 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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