Aug 2017     Issue 5
News
CUHK Research Appears in "Classic Papers: Articles That Have Stood The Test of Time" by Google Scholar

The paper "The Gaussian mixture probability hypothesis density filter" by Prof. Ken Ma is listed among "Classic papers: Top cited papers that have stood the test of time" in signal processing by Google Scholar.  Another paper "Hot topic: Physical-layer network coding" by Prof. Soung Liew's team is among the 10 Google Classic Papers in computer networks and wireless communication. 

The paper "Hot topic: Physical-layer network coding" by Prof. Shengli Zhang, Prof. Soung-chang Liew and Dr. Patrick P. Lam was first released in MobiCom '06 Proceedings of the 12th Annual International Conference on Mobile Computing and Networking. Prof. Shengli Zhang and Dr. Patrick Lam were Prof. Liew's PhD students.

Classic papers are highly-cited papers in their area of research that have stood the test of time. For each area, Google Scholar lists the ten most-cited articles that were published ten years earlier.

For more details, please check:
https://scholar.googleblog.com/2017/06/classic-papers-articles-that-have-stood.html

  
		Prof. Ma Wing Kin
Prof. Ma Wing Kin
  
		Prof. Liew Soung Chang
Prof. Liew Soung Chang
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