The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Haibin Zhu sits on this spectrum.
This scientist: 215 publications — 52nd percentile
52% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Haibin Zhu sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Haibin Zhu is affiliated with Nipissing University in Canada and specializes in the field of Computer Science, with a particular focus on Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering, Management Science and Operations Research, and Information Systems.
The scientist's research has been published extensively, contributing significantly to several areas including Multi-Agent Systems and Negotiation, Privacy-Preserving Technologies in Data, Auction Theory and Applications, Collaboration in agile enterprises, Advanced Manufacturing and Logistics Optimization, Mobile Crowdsensing and Crowdsourcing, and Vehicle Routing Optimization Methods.
Haibin Zhu has authored a variety of papers notable for their publication in respected venues. Recent papers include:
Frequent co-authors collaborate closely with Haibin Zhu, including Sam Kwong, Karen Panetta, Gina Tang, Dongrui Wu, and Róbert Kozma, indicating a collaborative research environment and cross-disciplinary engagement.
Haibin Zhu has contributed extensively to numerous publication venues. The primary venues of publication include:
The main research topics reflect a focus on the design and optimization of systems involving negotiation among agents, security and privacy in data sharing, and logistical challenges in manufacturing and vehicle routing. This interdisciplinary approach links computational methods with practical applications in dynamic and distributed environments.
Wenqian Shang;Houkuan Huang;Haibin Zhu;Yongmin Lin
Haibin Zhu;MengChu Zhou
Haibin Zhu;MengChu Zhou;R. Alkins
Fan Wang;Haibin Zhu;Gautam Srivastava;Shancang Li
Yiwen Zhang;Chunhui Yin;Qilin Wu;Qiang He
Shaohua Teng;Naiqi Wu;Haibin Zhu;Luyao Teng
Haibin Zhu;MengChu Zhou
Haibin Zhu;Dongning Liu;Siqin Zhang;Yu Zhu
Haibin Zhu
Haibin Zhu;MengChu Zhou
Tianxing Wang;Huaxiong Li;Xianzhong Zhou;Bing Huang
Haibin Zhu
Xiaolong Xu;Qihe Huang;Haibin Zhu;Suraj Sharma
Haibin Zhu;MengChu Zhou;P. Seguin
Ming Hou;Haibin Zhu;MengChu Zhou;G G Arrabito
Haibin Zhu;MengChu Zhou
Yingxu Wang;George Baciu;Yiyu Yao;Witold Kinsner
Haibin Zhu;Yin Sheng;Xianzhong Zhou;Yu Zhu
Dongme Sun;Shaohua Teng;Wei Zhang;Haibin Zhu
Haibin Zhu;MengChu Zhou
Haibin Zhu;Dongning Liu;Siqin Zhang;Shaohua Teng
Dongning Liu;Yunyi Yuan;Haibin Zhu;Shaohua Teng
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