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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Fast autoregressive tensor decomposition for online real-time traffic flow prediction
Zhihao Xu, Zhiqiang Lv, Benjia Chu, et al.
Knowledge-Based Systems (2023) Vol. 282, pp. 111125-111125
Closed Access | Times Cited: 19

Showing 19 citing articles:

Robust tensor decomposition with kernel rescaled error loss for feature extraction and dimensionality reduction
Shuaishuai Zhang, Xiaofeng Wang
Expert Systems with Applications (2025), pp. 126514-126514
Closed Access
World Hyper-Heuristic: A novel reinforcement learning approach for dynamic exploration and exploitation
Arman Daliri, Mahmoud Alimoradi, Mahdieh Zabihimayvan, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122931-122931
Closed Access | Times Cited: 12
Transfer learning-based nonstationary traffic flow prediction using AdaRNN and DCORAL
Linlin Zang, Tao Wang, Bo Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125143-125143
Closed Access | Times Cited: 4
A survey of sustainable development of intelligent transportation system based on urban travel demand
Hongyu Yan, Zhiqiang Lv
Sustainable Social Development (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 3
Two-step affinity matrix learning for multi-view subspace clustering
Tao Zhang, Yunhao Yuan, Xiaobo Shen, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122765-122765
Closed Access | Times Cited: 7
Tensor decomposition based attention module for spiking neural networks
Haoyu Deng, Ruijie Zhu, Xuerui Qiu, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111780-111780
Open Access | Times Cited: 2
Enhancing road traffic flow in sustainable cities through transformer models: Advancements and challenges
Shahriar Soudeep, Most. Lailun Nahar Aurthy, Jamin Rahman Jim, et al.
Sustainable Cities and Society (2024) Vol. 116, pp. 105882-105882
Closed Access | Times Cited: 2
Spatio-temporal envolutional graph neural network for traffic flow prediction in UAV-based urban traffic monitoring system
Wenming Ma, Zihao Chu, Hao Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Forecasting the Mitigation Potential of Greenhouse Gas Emissions in Shenzhen through Municipal Solid Waste Treatment: A Combined Weight Forecasting Model
Xia Zhang, Bingchun Liu, Ningbo Zhang
Atmosphere (2024) Vol. 15, Iss. 4, pp. 507-507
Open Access | Times Cited: 1
A fast matrix autoregression algorithm based on Tucker decomposition for online prediction of nonlinear real-time taxi-hailing demand without pre-training
Zhihao Xu, Zhiqiang Lv, Benjia Chu, et al.
Chaos Solitons & Fractals (2024) Vol. 189, pp. 115660-115660
Closed Access | Times Cited: 1
MuGIL: A Multi-Graph Interaction Learning Network for Multi-Task Traffic Prediction
Shuai Liu, Haiyang Yu, Han Jiang, et al.
Knowledge-Based Systems (2024), pp. 112709-112709
Closed Access | Times Cited: 1
Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution
Peng Yu, Xu Zhang, Yongshun Gong, et al.
Expert Systems with Applications (2024), pp. 125679-125679
Closed Access | Times Cited: 1
Progress and prospects of future urban health status prediction
Zhihao Xu, Zhiqiang Lv, Benjia Chu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107573-107573
Closed Access | Times Cited: 4
A Novel Hybrid Model Based on Rule Learning and Dilated Convolution for Vehicle Collision Prediction
Nan Wu, Xue Liu, Zhiqiang Lv
Annals of applied sciences. (2024)
Open Access
Tensor-based Trajectory Data Mining: A Block-Term Decomposition Approach
Eleftherios Kofidis
(2024), pp. 1-9
Open Access
Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach
Peixiao Wang, Hengcai Zhang, Shifen Cheng, et al.
Sustainable Cities and Society (2024) Vol. 118, pp. 106044-106044
Closed Access
Multi-Granularity Temporal Embedding Transformer Network for Traffic Flow Forecasting
Jiani Huang, He Yan, Qixiu Chen, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8106-8106
Open Access
Incorporating Tucker Decomposition and Deep Learning for Taxi Demand Forecasting—A Lightweight Solution for Urban Taxi Demand Forecasting
本嘉 楚
Software Engineering and Applications (2024) Vol. 13, Iss. 05, pp. 660-669
Closed Access
A Deep Spatiotemporal Model for Traffic Flow Prediction Based on Discrete Wavelet Transform
浩 曲
Computer Science and Application (2023) Vol. 13, Iss. 12, pp. 2417-2431
Closed Access
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