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 Bin Yang sits on this spectrum.
This scientist: 199 publications — 46th percentile
46% 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 Bin Yang sits on this spectrum.
This scientist: 48 D-Index — 58th percentile
58% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Bin Yang is affiliated with Aalborg University in Denmark and specializes in computer science with a focus on artificial intelligence, signal processing, and computer vision and pattern recognition. Their research also covers management science and operations research as well as building and construction. The primary research topics revolve around time series analysis and forecasting, traffic prediction and management techniques, anomaly detection techniques and applications, stock market forecasting methods, domain adaptation and few-shot learning, data management and algorithms, and human mobility and location-based analysis.
Their recent research contributions include studies published in prominent venues. Notable papers include Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs (2022) published in IEEE Transactions on Knowledge and Data Engineering; Towards Spatio-Temporal Aware Traffic Time Series Forecasting (2022) presented at the 2022 IEEE 38th International Conference on Data Engineering (ICDE); Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting (2022) in the Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence; TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (2024) published in the Proceedings of the VLDB Endowment; and LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation (2023) in the Proceedings of the ACM on Management of Data.
Frequent co-authors collaborating with Bin Yang include Chenjuan Guo, Christian S. Jensen, Jilin Hu, Tung Kieu, and Kai Zheng. These collaborations reflect their integration in a network of research in the field of time series and data management.
Their work is regularly published in several key venues, notably:
Tung Kieu;Bin Yang;Chenjuan Guo;Christian S. Jensen
Zhijian Wang;Xinxin He;Bin Yang;Naipeng Li
Christian S. Jensen;Hua Lu;Bin Yang
Jian Dai;Bin Yang;Chenjuan Guo;Zhiming Ding
Tung Kieu;Bin Yang;Christian S. Jensen
Unknown
Bin Yang;Chenjuan Guo;Christian S. Jensen
Huiping Liu;Cheqing Jin;Bin Yang;Aoying Zhou
Bin Yang;Chenjuan Guo;Christian S. Jensen;Manohar Kaul
Huiping Liu;Cheqing Jin;Bin Yang;Aoying Zhou
Bin Yang;Hua Lu;Christian S. Jensen
Qiang Ma;Bin Yang;Weining Qian;Aoying Zhou
Christian S. Jensen;Hua Lu;Bin Yang
Yongfu Li;Bin Yang;Taixiong Zheng;Yinguo Li
Manohar Kaul;Bin Yang;Christian S. Jensen
Bin Yang;Chenjuan Guo;Yu Ma;Christian S. Jensen
Bin Yang;Manohar Kaul;Christian S. Jensen
Yafang Wang;Bin Yang;Lizhen Qu;Marc Spaniol
Zhiming Ding;Bin Yang;Yuanying Chi;Limin Guo
Jilin Hu;Bin Yang;Chenjuan Guo;Christian S. Jensen
Razvan-Gabriel Cirstea;Darius-Valer Micu;Gabriel-Marcel Muresan;Chenjuan Guo
Bin Yang;Jian Dai;Chenjuan Guo;Christian S. Jensen
Chenjuan Guo;Bin Yang;Ove Andersen;Christian S. Jensen
Christian Søndergaard Jensen;Hua Lu;Bin Yang
Jilin Hu;Chenjuan Guo;Bin Yang;Christian S. Jensen
Chenjuan Guo;Yu Ma;Bin Yang;Christian S. Jensen
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