Ke Yang

7.7k citations
63 papers · 3.4k · 2 hit papers · h-index 14

Impact in

Papers in

Ke Yang

54 papers receiving 3.2k citations

Ke Yang's Hit Papers

On rectified linear units for speech processing 2013 · 316 citations
3160+4+9Years since publication50010001.5k

Peers

Ke Yang
Comparison fields: 5 of 137
  • Signal Processing 660
  • Artificial Intelligence 1.9k
  • Computer Vision and Pattern Recognition 1.2k
  • Hardware and Architecture 316
  • Computer Networks and Communications 864
Replace M. Mao with:
M. Mao United States
Rajat Monga United States
Zheng Qin China
Matthieu Devin United States
Suman Jana United States
Pasquale Foggia Italy
Yen-Kuang Chen United States
Jun Wu China
Li Zhang China
Ray C. C. Cheung Hong Kong
Ke Yang relative to M. Mao United States M. Mao's profile →
Citations per field
00.5×1.5×2.2×
M. Mao · 1×
Citations per year

Countries citing papers authored by Ke Yang

Since Specialization
Citations

This map shows the geographic impact of Ke Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ke Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yang more than expected).

Fields of papers citing papers by Ke Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ke Yang. The network helps show where Ke Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ke Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ke Yang Line = papers co-authored together Ke Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large Scale Distributed Deep Networks
Hit paper breakdown →
20121718
2
On rectified linear units for speech processing
Hit paper breakdown →
2013316
3 2008251
4
An Investigation of Practical Approximate Nearest Neighbor Algorithms
2004241
5 2012196
6 2009195
7 2013116
8
Parallel Data Mining on Graphics Processors
201163
9 201856
10 200742
11 202024
12 200518
13 200417
14 200617
15 200712
16
Alternatives to Non-malleability: Definitions, Constructions, and Applications (Extended Abstract)
200411
17 20108
18 20098
19
DESIGN OF THE HORIZONTAL AXIS WIND TURBINE AIRFOIL FAMILY
20108
20
Overview of Web Spammer Detection
20148

About Ke Yang

Ke Yang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Aerospace Engineering and Information Systems, having authored 63 papers that have together received 3.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (10 papers), Advanced Authentication Protocols Security (8 papers), Algorithms and Data Compression (7 papers), Cryptography and Data Security (5 papers), User Authentication and Security Systems (5 papers), Aerodynamics and Fluid Dynamics Research (4 papers), Vibration and Dynamic Analysis (4 papers) and Engineering Applied Research (4 papers). The work is most often cited by research in Signal Processing (660 citations), Artificial Intelligence (1.9k citations), Computer Vision and Pattern Recognition (1.2k citations), Hardware and Architecture (316 citations) and Computer Networks and Communications (864 citations). Ke Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Andrew Senior, Jay B. Dean, Rajat Monga, Marc’Aurelio Ranzato, M. Mao, Quoc V. Le, Greg S. Corrado, Kai Chen, Paul A. Tucker and Andrew Y. Ng. Their work appears in journals such as IEEE Access, Journal of Cryptology, Applied Sciences, Journal of Computer and System Sciences and Science China Physics Mechanics and Astronomy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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