2019 IJAC Outstanding Reviewer Award & Most Cited Paper Award

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As the new year is approaching with new hopes, International Journal of Automation and Computing (IJAC) wants to reach out and send our best wishes to you and yours! We hope that 2020 holds success and good fortune in any endeavour you pursue.

 

We are very delighted to take this chance to announce 2019 IJAC Outstanding Reviewer Award and 2019 IJAC Most Cited Paper Award.

 



◆IJAC Outstanding Reviewer Award Recipients in 2019


 

IJAC Outstanding Reviewer Award recognizes individuals who have provided exemplary assistance to IJAC during the previous year. Outstanding Reviewers are those who provide excellent, timely and productive feedback to authors who have submitted manuscripts to IJAC. Outstanding Reviewers are also those who frequently review for the journal, and who provide the editors with productive advice about the submissions they review. The recipients will receive certificates issued by the journal and signed by IJAC Editor-in-Chief, Prof. Tieniu Tan.

 

Congratulations to the recipients:

Zhiqiang Cao, Chinese Academy of Sciences, China

Yongqiang Cheng, University of Hull, UK

Ligang Wu, Harbin Institute of Technology, China

Yudong Zhao, Pusan National University, Korea

Tomasz Wasilewski, Medical University of Gdańsk, Poland

 

 



◆IJAC Most Cited Paper Award Winners in 2019

 

IJAC Most Cited Paper Award is to recognize the papers published in 2017 which have received the largest number of citations in previous years. We believe that this award will highlight papers that have truly generated interest and awareness within the automation and computing community. Citations of papers are based on the data from Web of Science Core Collection that tracks the journal since its first publication. The winners will receive certificates issued by the journal and signed by IJAC Editor-in-Chief, Prof. Tieniu Tan.

 

Congratulations to the winners:

 

Pinning Control and Controllability of Complex Dynamical Networks

Guanrong Chen

IJAC, vol. 14, no. 1, pp. 1-9, 2017

http://www.ijac.net/en/article/doi/10.1007/s11633-016-1052-9

https://link.springer.com/article/10.1007/s11633-016-1052-9

Citation: 43

 

 



Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality:A Review

Tomaso Poggio, Hrushikesh Mhaskar, Lorenzo Rosasco, Brando Miranda, Qianli Liao

2017, vol. 14, no. 5, pp. 503-519

http://www.ijac.net/en/article/doi/10.1007/s11633-017-1054-2

https://link.springer.com/article/10.1007/s11633-017-1054-2

Citation: 36

 

 



A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation

Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan

IJAC, vol. 14, no. 2, pp. 119-135, 2017

http://www.ijac.net/en/article/doi/10.1007/s11633-017-1053-3

https://link.springer.com/article/10.1007/s11633-017-1053-3

Citation: 36

 



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Current Issue

2020 Vol.17 No.1

Table of Contents

ISSN 1476-8186

E-ISSN 1751-8520

CN 11-5350/TP

Editors-in-chief
Tieniu TAN, Chinese Academy of Sciences Guoping LIU, University of South Wales Huosheng HU, University of Essex
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