This map shows the geographic impact of Joan Lu'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 Joan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Lu more than expected).
This network shows the impact of papers produced by Joan Lu. 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 Joan Lu. The network helps show where Joan Lu may publish in the future.
Co-authorship network of co-authors of Joan Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Lu.
A scholar is included among the top collaborators of Joan Lu 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 Joan Lu. Joan Lu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cherrington, Marianne, Joan Lu, Qiang Xu, David Airehrour, & Stephen Wade. (2021). The digital asset management microcosm: a high-dimensional New Zealand view. 24(2). 21–27.3 indexed citations
Thabtah, Fadi, et al.. (2018). An Improved Associative Classification Algorithm based on Incremental Rules. Journal of the Association for Information Systems.1 indexed citations
6.
Ahmed, Omed Hassan, et al.. (2018). Human identification based on thinning minutiae of fingerprint. Journal of Theoretical and Applied Information Technology. 96(17). 5918–5929.2 indexed citations
7.
Lu, Joan, et al.. (2016). Arabic Information Retrieval: A Relevancy Assessment Survey. University of Huddersfield Repository (University of Huddersfield). 345–357.4 indexed citations
Liu, Dezheng, et al.. (2013). The Development of Finite Element Analysis Software for Creep Damage Analysis. University of Huddersfield Repository (University of Huddersfield).2 indexed citations
10.
Lu, Joan, et al.. (2012). Developing a Domain ontology of Information Science (OIS). Huddersfield Research Portal (University of Huddersfield).2 indexed citations
Tan, Feng, Qiang Xu, Joan Lu, & Donglai Xu. (2012). The preliminary development of computational software system for creep damage analysis in weldment. TeesRep (Teesside University). 1–4.3 indexed citations
13.
Lu, Joan, et al.. (2010). Ontology of Information Science Based On OWL for the Semantic Web. University of Huddersfield Repository (University of Huddersfield).2 indexed citations
14.
Lu, Joan, et al.. (2009). A Generic Model of Knowledge Mapping Through Virtual Communities of Practice in Information Science. University of Huddersfield Repository (University of Huddersfield).2 indexed citations
15.
Lu, Joan, et al.. (2009). Vague Content and Structure (VCAS) Retrieval for XML Electronic Healthcare Records (EHR). University of Salford Institutional Repository (University of Salford).2 indexed citations
Lu, Joan, et al.. (2007). Effectively storing and querying XML. University of Huddersfield Repository (University of Huddersfield).2 indexed citations
18.
Lu, Joan, et al.. (2006). XML security in certificate management. University of Huddersfield Repository (University of Huddersfield).1 indexed citations
19.
Lu, Joan, et al.. (2005). An Approach to XML Key Management Specification in X-Certificator. Huddersfield Research Portal (University of Huddersfield). 488–493.2 indexed citations
20.
Lu, Joan, et al.. (2004). Intelligent search technology for extracting scientific data/documents on web. University of Huddersfield Repository (University of Huddersfield).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.