Question 1

What does Kekai Sheng research?

Accepted Answer

Kekai Sheng publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Visual Attention and Saliency Detection, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.

Question 2

Which keywords describe Kekai Sheng's research?

Accepted Answer

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Saliency Detection, Visual Attention, Domain Adaptation, Face Recognition and Facial Landmark Detection.

Question 3

Where does Kekai Sheng work?

Accepted Answer

Kekai Sheng's main affiliation in the publication record is Tencent (China), China.

Question 4

How many publications and citations does Kekai Sheng have?

Accepted Answer

OpenAlex counts 34 works and 1,489 citations for Kekai Sheng, an h-index of 15, ranking #805,277 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Kekai Sheng's h-index high?

Accepted Answer

An h-index of 15 is at or above that of 79% of the 89,309 ranked researchers whose main subfield is Computer Vision and Pattern Recognition, which is in the top 23%.