2026 Bin Yang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6268	6087	19	19	199	6026

Overview

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:

arXiv (Cornell University)
Proceedings of the VLDB Endowment
IEEE Transactions on Knowledge and Data Engineering
2022 IEEE 38th International Conference on Data Engineering (ICDE)
Proceedings of the ACM on Management of Data

Best Publications

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

Tung Kieu;Bin Yang;Chenjuan Guo;Christian S. Jensen

270
Citations
Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings

Zhijian Wang;Xinxin He;Bin Yang;Naipeng Li

241
Citations
Graph Model Based Indoor Tracking

Christian S. Jensen;Hua Lu;Bin Yang

234
Citations
Personalized route recommendation using big trajectory data

Jian Dai;Bin Yang;Chenjuan Guo;Zhiming Ding

226
Citations
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks

Tung Kieu;Bin Yang;Christian S. Jensen

192
Citations
Bayesian Differential Privacy on Correlated Data

Unknown

176
Citations
Travel cost inference from sparse, spatio temporally correlated time series using Markov models

Bin Yang;Chenjuan Guo;Christian S. Jensen

160
Citations
Finding Top-k Shortest Paths with Diversity

Huiping Liu;Cheqing Jin;Bin Yang;Aoying Zhou

154
Citations
Stochastic skyline route planning under time-varying uncertainty

Bin Yang;Chenjuan Guo;Christian S. Jensen;Manohar Kaul

147
Citations
Finding Top-k Shortest Paths with Diversity

Huiping Liu;Cheqing Jin;Bin Yang;Aoying Zhou

145
Citations
Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space

Bin Yang;Hua Lu;Christian S. Jensen

128
Citations
Query processing of massive trajectory data based on mapreduce

Qiang Ma;Bin Yang;Weining Qian;Aoying Zhou

126
Citations
Indexing the Trajectories of Moving Objects in Symbolic Indoor Space

Christian S. Jensen;Hua Lu;Bin Yang

118
Citations
Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve

Yongfu Li;Bin Yang;Taixiong Zheng;Yinguo Li

109
Citations
Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems

Manohar Kaul;Bin Yang;Christian S. Jensen

102
Citations
Toward personalized, context-aware routing

Bin Yang;Chenjuan Guo;Yu Ma;Christian S. Jensen

101
Citations
Using Incomplete Information for Complete Weight Annotation of Road Networks

Bin Yang;Manohar Kaul;Christian S. Jensen

95
Citations
Harvesting facts from textual web sources by constrained label propagation

Yafang Wang;Bin Yang;Lizhen Qu;Marc Spaniol

91
Citations
Enabling Smart Transportation Systems: A Parallel Spatio-Temporal Database Approach

Zhiming Ding;Bin Yang;Yuanying Chi;Limin Guo

90
Citations
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks

Jilin Hu;Bin Yang;Chenjuan Guo;Christian S. Jensen

87
Citations
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks

Razvan-Gabriel Cirstea;Darius-Valer Micu;Gabriel-Marcel Muresan;Chenjuan Guo

85
Citations
PACE: a PAth-CEntric paradigm for stochastic path finding

Bin Yang;Jian Dai;Chenjuan Guo;Christian S. Jensen

83
Citations
EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data

Chenjuan Guo;Bin Yang;Ove Andersen;Christian S. Jensen

83
Citations
Indoor—A New Data Management Frontier

Christian Søndergaard Jensen;Hua Lu;Bin Yang

82
Citations
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks

Jilin Hu;Chenjuan Guo;Bin Yang;Christian S. Jensen

82
Citations
EcoMark: evaluating models of vehicular environmental impact

Chenjuan Guo;Yu Ma;Bin Yang;Christian S. Jensen

81
Citations

Frequent Co-Authors

Christian S. Jensen Aalborg University

Aoying Zhou East China Normal University

Hua Lu Aalborg University

Gerhard Weikum Max Planck Institute for Informatics

Takahiro Hara Osaka University

Kai Zheng University of Electronic Science and Technology of China

Srinivas Peeta Georgia Institute of Technology

Torben Bach Pedersen Aalborg University

Panos Kalnis King Abdullah University of Science and Technology

Ralf Hartmut Güting University of Hagen

External Links

Personal website of Bin Yang Google Scholar page

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