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:

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
Bin Lü, Xiaoying Gan, Weinan Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 1162-1172
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5388-5408
Open Access | Times Cited: 123

Graph Neural Network for Traffic Forecasting: The Research Progress
Weiwei Jiang, Jiayun Luo, Miao He, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 3, pp. 100-100
Open Access | Times Cited: 66

A Survey on Time-Series Pre-Trained Models
Qianli Ma, Zhen Liu, Zhenjing Zheng, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7536-7555
Open Access | Times Cited: 12

UrbanGPT: Spatio-Temporal Large Language Models
Zhonghang Li, Lianghao Xia, Jiabin Tang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5351-5362
Open Access | Times Cited: 10

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan, Jingtao Ding, Jie Feng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4095-4106
Open Access | Times Cited: 6

Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities
Yilun Jin, Kai Chen, Qiang Yang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1032-1043
Closed Access | Times Cited: 14

Semantic-fused multi-granularity cross-city traffic prediction
Kehua Chen, Yuxuan Liang, Jindong Han, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 162, pp. 104604-104604
Open Access | Times Cited: 4

Transfer-Mamba: Selective state space models with spatio–temporal knowledge transfer for few-shot traffic prediction across cities
Shaokang Cheng, Shiru Qu, Junxi Zhang
Simulation Modelling Practice and Theory (2025), pp. 103066-103066
Closed Access

Spatial homogeneity-aware transfer learning for urban flow prediction
Yinghui Liu, Guojiang Shen, Yanjie Fu, et al.
Knowledge and Information Systems (2025)
Closed Access

Origin–destination prediction via knowledge‐enhanced hybrid learning
Z. Xing, Edward Chung, Yiyang Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
Zheng Dong, Renhe Jiang, Haotian Gao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 631-641
Open Access | Times Cited: 3

Urban Foundation Models: A Survey
Weijia Zhang, Jindong Han, Xu Zhao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6633-6643
Closed Access | Times Cited: 1

Improving Graph Domain Adaptation with Network Hierarchy
Boshen Shi, Yongqing Wang, Fangda Guo, et al.
(2023), pp. 2249-2258
Open Access | Times Cited: 2

StableMiss+: Prediction with Incomplete Data Under Agnostic Mask Distribution Shift
Yichen Zhu, Bo Jiang
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7190-7194
Closed Access

MGCN-CT: Multi-type Vehicle Fuel Consumption Prediction Based on Module-GCN and Config-Transfer
Hao Li, Qianwen Cheng, Zhao-Hui Peng, et al.
Lecture notes in computer science (2024), pp. 312-327
Closed Access

Multiview Spatial-Temporal Meta-Learning for Multivariate Time Series Forecasting
Liang Zhang, Jianping Zhu, Bo Jin, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4473-4473
Open Access

A Survey on Knowledge Graph Related Research in Smart City Domain
Zhu Wang, Fengxia Han, Shengjie Zhao
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 9, pp. 1-31
Closed Access

Exploring of STGNN for Traffic Forecasting at Expanding Traffic Network
Tomoki Kawabata, Hiroyuki Toda
Lecture notes in computer science (2024), pp. 116-121
Closed Access

Neighbor Distribution Learning for Minority Class Augmentation
Mengting Zhou, Zhiguo Gong
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 8901-8913
Closed Access

CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control
Sun Qian, Rui Zha, Le Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2765-2774
Closed Access

Frequency Enhanced Pre-training for Cross-City Few-shot Traffic Forecasting
Zhanyu Liu, Jianrong Ding, Guanjie Zheng
Lecture notes in computer science (2024), pp. 35-52
Closed Access

Transfer Learning for Cross-City Traffic Prediction to Solve Data Scarcity
Xijun Zhang, Guangyu Wan, Hong Zhang
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access

Dynamic Spatial-Temporal Memory Augmentation Network for Traffic Prediction
Huibing Zhang, Qianxin Xie, Zhaoyu Shou, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6659-6659
Open Access

FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference
Yuhao Zheng, Yishuo Cai, Zihao Cai, et al.
(2024), pp. 3415-3423
Closed Access

Prompt-Based Spatio-Temporal Graph Transfer Learning
Junfeng Hu, Xu Liu, Zhencheng Fan, et al.
(2024), pp. 890-899
Closed Access

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