Personal profile
Author IDs
ORCID iD: 0000-0002-2345-0528
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 10 Reduced Inequalities
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Dive into the research topics where Zhaojun DING is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
- 2 RGC 21 - Publication in refereed journal
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Viral traits from deep mutational scanning and socio-demographic context predict SARS-CoV-2 lineage fitness across diverse countries
Ding, Z. & Yuan, H.-Y., Feb 2026, In: International Journal of Infectious Diseases. 163, 9 p., 108260.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile7 Downloads (CityUHK Scholars) -
Identification of critical SARS-CoV-2 amino acids associated with COVID-19 hospitalization rate using machine learning and statistical modeling: An observational study in the United States
Liang, J. (Co-first Author), Ding, Z. (Co-first Author) & Liu, K., Sept 2023, In: Infection, Genetics and Evolution. 113, 105480.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)56 Downloads (CityUHK Scholars)
Prizes
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Outstanding Academic Performance Award for Research Degree Students (non UGC-funded students)
DING, Z. (Recipient), 16 Aug 2024
Prize: RGC 64B - Prizes and awards
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INFECTION 2024
DING, Z. (Invited Speaker)
24 Jun 2024 → 25 Jun 2024Activity: Talk/lecture or presentation › Presentation
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Individual and population immunity to respiratory viruses
DING, Z. (Participant)
8 Nov 2023 → 10 Nov 2023Activity: Organizing or Participating in a conference / an event › Conference / Symposium
Thesis
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Predicting SARS-CoV-2 Variant Fitness Using Mechanistic and AI-Based Models with Viral Traits
DING, Z. (Author), YUAN, H.-Y. S. (Supervisor), 9 Sept 2025Student thesis: Doctoral Thesis