News Release

2023 Excellent Paper Awards and Best Paper Award-Five-Year Excellence of the International Journal of Crowd Science

Grant and Award Announcement

Tsinghua University Press

It is delighted to share the news that the 2023 Excellent Paper Awards and 2023 Best Paper Award-Five-Year Excellence of the International Journal of Crowd Science were awarded. Congratulations to the winners.

The 2023 Excellent Paper Awards recognize the top 4 high impact papers out of 24 papers published in 2022. The 2023 Best Paper Award-Five-Year Excellence recognize the top impact paper out of 108 papers published from 2018 to 2022.

 

The winners are as follows:

2023 Best Paper Award-Five-Year Excellence (2018-2022)

Xiao Xue, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, and Shizhan Chen, Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective, International Journal of Crowd Science, vol. 6, no. 4, pp. 195-222, 2022.

doi: 10.26599/IJCS.2022.9100026.

Link: https://ieeexplore.ieee.org/document/9969552

 

 

2023 Excellent Paper Award

Xiao Xue, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, and Shizhan Chen, Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective, International Journal of Crowd Science, vol. 6, no. 4, pp. 195-222, 2022.

doi: 10.26599/IJCS.2022.9100026.

Link: https://ieeexplore.ieee.org/document/9969552

 

Michael Safo Oduro, Han Yu, and Hong Huang, Predicting the Entrepreneurial Success of Crowdfunding Campaigns Using Model-Based Machine Learning Methods, International Journal of Crowd Science, vol. 6, no. 1, pp. 7-16, 2022.

doi: 10.26599/IJCS.2022.9100003.

Link: https://ieeexplore.ieee.org/document/9758663/

 

Jine Tang, Shuang Wu, Lingxiao Wei, Weijing Liu, Taishan Qin, Zhangbing Zhou, and Junhua Gu, Energy-Efficient Sensory Data Collection Based on Spatiotemporal Correlation in IoT Networks, International Journal of Crowd Science, vol. 6, no. 1, pp. 34-43, 2022.

doi: 10.26599/IJCS.2022.9100007.

Link: https://ieeexplore.ieee.org/document/9758664

 

Yulei Jiao and Cexun Wang, A Blockchain-Based Trusted Upload Scheme for the Internet of Things Nodes, International Journal of Crowd Science, vol. 6, no. 2, pp. 92-97, 2022.

doi: 10.26599/IJCS.2022.9100010.

Link: https://ieeexplore.ieee.org/document/9815842/

 

 

About International Journal of Crowd Science

International Journal of Crowd Science, published by Tsinghua University Press Limited, with the collaboration of Association for Crowd Science and Engineering (ACE), is an international, peer-reviewed open-access academic journal, which publishes inter-disciplinary research on crowd intelligence. Crowd intelligence phenomena are widespread, including collective intelligence, swarm intelligence, as well as other new group phenomena with larger scale and closer interconnection between human intelligence and artificial intelligence. The journal aims to facilitate the discovery of fundamental theories in understanding the networked society of human in the loop AI and crowd intelligence, and to explore related technologies and new ways of developing and harnessing crowd intelligence to improve the efficiency of crowd intelligence network system, as well as socioeconomic outcomes.

 

International Journal of Crowd Science is indexed and abstracted in Ei Compendex, Scopus, Inspec, DOAJ, etc.

 

Excellent Paper Awards and Best Paper Award-Five-Year Excellence established by the International Journal of Crowd Science, together with TUP and IEEE Xplore, are for the outstanding papers published in the past year and past 5 years based on the high quality and international impact.

 

Journal websites:

https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9736195

https://www.sciopen.com/journal/2398-7294?issn=2398-729


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