Research Collaboration Index · 2026

University of Hong Kong

Asia-Pacific · Platinum standing

#1World rank
97.8RCI score
1,172Collaborating institutions
81Partner countries
81,456Joint works, 5 yr
3.93FWCI

Strongest in Economics, Econometrics & Finance, at #1 in the world.

The profile

Collaboration profile

98Influence
96Brokerage
98Reach
98Diversity
98Sustained
97Impact
99International

By subject

Subject standings

World rank in each of the 26 subject indices; gold cards mark top-500 standings. Click through to any full subject ranking.

Collaboration and Funding Blueprint

This page shows where University of Hong Kong stands. The Blueprint says who it should work with next.

A decision document for research leadership and partnership offices: the universities to partner with next, the field that justifies each one, and the route that would fund it, read across all 1,195 ranked universities. It cannot move a position: the index is free, public and closed to money.

Enquire about the Blueprint for University of Hong Kong →

Featured academics

The researchers behind the standing

Independently verified: current affiliation, public profile and published contact confirmed from the open record.

Paul S. F. Yip

Paul S. F. YipSubject Award Winner 2026

Social Sciences · featured academic

Professor Yip directs the HKJC Centre for Suicide Research and Prevention at the University of Hong Kong. He co-authored the Lancet Psychiatry interrupted time series analysis of preliminary suicide data from 21 countries, which found no evidence of an early pandemic rise in suicide numbers and informed international prevention policy.

Haipeng Shen

Haipeng Shen

Business, Management & Accounting · featured academic

Patrick S C Poon Professor in Analytics and Innovation and Associate Dean at HKU Business School, Haipeng Shen researches data-driven decision making in healthcare and service operations. With co-authors at the University of Toronto and Emory University, his Service Science paper tests whether customer arrival rates can be modelled by sine waves, guiding demand forecasting and staffing in service systems.

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