Author: HKUL Scholarly Communication Services
The Present and Potential of Opening Reference Lists
— by Fanny Liu “Open citations” (open references) refers to sharing bibliographic references openly, making the information freely accessible and reusable. Citations are the links between published works and the other works which influence them, usually acknowledged in the reference lists. Scholars analyse citations to study the development of knowledge over time, finding relevant papers…
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Data Citation: How to Credit Datasets
— by Chloe Ng Following our previous blog post on data discovery, this post focuses on how to cite the data we have discovered and reused. Data citation refers to the practice of formally referencing data, in the same way that researchers provide bibliographic citations for articles, books, or other scholarly sources. Reasons to cite…
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Evolving Benchmarks – Clarivate’s Highly Cited Researcher Methodology Updates in 2025
— by River Mi HKU’s Performance in 2025 Highly Cited Researcher HKU achieved a new record with 54 scholars named in Clarivate’s “Highly Cited Researchers 2025” list (HCR list) with 38% of Hong Kong Highly Cited Researchers affiliated. In 2025, Clarivate awarded 6,868 individuals worldwide, among whom 145 had primary affiliation in Hong Kong. Behind…
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Paywalls Down, Impact Up: An Overview of Participation of HKU Authors in Open Access Publishing 2025
— by Fanny Liu Introduction Similar to last year’s post, this post presents an overview of open access publications authored by researchers of the University of Hong Kong (HKU) for 2025. Data Publication and Category Normalized Citation Impact (CNCI) data were extracted from InCites (data from the Web of Science Core Collection) on 21 January…
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HeinOnline’s Scholarly Impact Rankings: Another Set of League Tables Based on Citation Counts?
— by Eddie Ko HeinOnline released its Scholarly Impact Rankings (SIR) in late January 2026. HKU staff and students can access SIR via HeinOnline > Law Journal Library database. The steps for access are illustrated in the figure below: An open-access version SIR is also available. While both versions provide the same data, the subscriber…
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HKU Research in the first half of 2020s: An SDG Perspective
— by Christina Wong Introduction The University of Hong Kong continues to advance research that aligns with the United Nations Sustainable Development Goals (SDGs). Given the absence of SDG 17 (Partnerships of the Goals) in Elsevier’s (2024) index due to the difficulty of classification, this article explores insights from bibliometric data of HKU’s scholarly outputs…
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Data Discovery: Where to Find the Right Datasets
— by Chloe Ng Every day, vast amounts of data are collected or generated by scholars, governments, NGOs, businesses, and other organizations. By discovering existing datasets, researchers can reuse data to save time and costs in data collection, conduct replication studies, compare findings, or incorporate validated components of research design (CESSDA, 2022). This post provides…
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Capturing Impacts of Non-Traditional Research Outputs (NTROs)
— by Fanny Liu Introduction to NTROs Non-Traditional Research Outputs (NTROs) are research outputs beyond the traditional research outputs (academic journal articles, conference papers, academic books, and book chapters). They represent a diverse spectrum of creative and practice-based works, reflecting the innovative nature of research, particularly within the humanities and social sciences. For example, in…
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Where Research Is Heading: Identifying Emerging Topics
— by Chloe Ng Identifying emerging research topics helps researchers track areas gaining momentum in their fields. With the growing volume of publications, bibliometric tools help to detect these trends. This blog post outlines what defines an emerging topic, why topic growth matters, and how tools like InCites and SciVal can support this process. What…
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Text and Data Mining (TDM) Exception: What It Means for Researchers
— by Eddie Ko Earlier this year, the Hong Kong government published the Outcomes of Public Consultation and Proposed Way Forward on Enhancement of the Copyright Ordinance regarding Protection for Artificial Intelligence Technology Development. A key highlight is the proposed introduction of a Text and Data Mining (TDM) exception, which could be a game-changer for…
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