Shengdong Du

2.7k total citations · 3 hit papers
41 papers, 1.8k citations indexed

About

Shengdong Du is a scholar working on Building and Construction, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shengdong Du has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Building and Construction, 14 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Shengdong Du's work include Traffic Prediction and Management Techniques (15 papers), Transportation Planning and Optimization (7 papers) and Time Series Analysis and Forecasting (7 papers). Shengdong Du is often cited by papers focused on Traffic Prediction and Management Techniques (15 papers), Transportation Planning and Optimization (7 papers) and Time Series Analysis and Forecasting (7 papers). Shengdong Du collaborates with scholars based in China, Taiwan and Australia. Shengdong Du's co-authors include Tianrui Li, Shi‐Jinn Horng, Yan Yang, Peng Xie, Xin Yang, Jia Liu, Junbo Zhang, Fei Teng, Xun Gong and Jia Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Shengdong Du

40 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multivariate time series forecasting via attention-based encoder–decoder framework

2020 327 citations Shengdong Du, Tianrui Li et al. Neurocomputing profile →
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

2019 316 citations Shengdong Du, Tianrui Li et al. IEEE Transactions on Knowledge and Data Engineering profile →
Urban flow prediction from spatiotemporal data using machine learning: A survey

2020 215 citations Peng Xie, Tianrui Li et al. Information Fusion profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shengdong Du China	18	556	512	400	392	242	41	1.8k
Guojie Song China	25	861 1.5×	1.2k 2.4×	363 0.9×	810 2.1×	258 1.1×	106	3.7k
Xun Zhou United States	26	521 0.9×	484 0.9×	214 0.5×	601 1.5×	103 0.4×	119	2.4k
Xiuwen Yi China	15	1.2k 2.1×	311 0.6×	547 1.4×	953 2.4×	355 1.5×	23	2.2k
Yuxuan Liang China	27	1.2k 2.1×	796 1.6×	278 0.7×	840 2.1×	106 0.4×	130	3.1k
Xiucheng Li China	11	476 0.9×	258 0.5×	161 0.4×	396 1.0×	79 0.3×	27	1.1k
Christos G. Panayiotou Cyprus	32	369 0.7×	380 0.7×	186 0.5×	273 0.7×	40 0.2×	309	3.5k
Xuebo Jin China	25	166 0.3×	526 1.0×	297 0.7×	50 0.1×	106 0.4×	76	2.1k
Harri Niska Finland	14	204 0.4×	256 0.5×	447 1.1×	64 0.2×	255 1.1×	38	1.5k
Jia Wu China	16	219 0.4×	472 0.9×	138 0.3×	227 0.6×	26 0.1×	58	2.0k
Jun-Seok Oh United States	23	632 1.1×	167 0.3×	89 0.2×	745 1.9×	116 0.5×	141	1.9k

Countries citing papers authored by Shengdong Du

Since Specialization

Citations

This map shows the geographic impact of Shengdong Du's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shengdong Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengdong Du more than expected).

Fields of papers citing papers by Shengdong Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shengdong Du. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shengdong Du. The network helps show where Shengdong Du may publish in the future.

Co-authorship network of co-authors of Shengdong Du

This figure shows the co-authorship network connecting the top 25 collaborators of Shengdong Du. A scholar is included among the top collaborators of Shengdong Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengdong Du. Shengdong Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hu, Jie, et al.. (2025). LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting. IEEE Transactions on Big Data. 11(5). 2517–2528. 2 indexed citations

Wang, Chao, et al.. (2025). Pre-training Enhanced Transformer for multivariate time series anomaly detection. Information Fusion. 121. 103171–103171. 1 indexed citations

Du, Shengdong, et al.. (2024). Graph Deep Active Learning Framework for Data Deduplication. Big Data Mining and Analytics. 7(3). 753–764. 4 indexed citations

Li, Tianrui, et al.. (2024). YOLO-SCFormer: A Feature Fusion Model for Small Target Foreign Object Detection in Transmission Lines. 176–183.

Hu, Jie, et al.. (2024). A knowledge graph completion model based on triple level interaction and contrastive learning. Pattern Recognition. 156. 110783–110783. 7 indexed citations

Yang, Yan, et al.. (2023). Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction. Knowledge-Based Systems. 278. 110885–110885. 22 indexed citations

Xie, Peng, Minbo Ma, Tianrui Li, et al.. (2023). Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. IEEE Transactions on Knowledge and Data Engineering. 35(10). 9973–9984. 26 indexed citations

Hu, Jie, et al.. (2023). Multi-view subspace clustering for learning joint representation via low-rank sparse representation. Applied Intelligence. 53(19). 22511–22530. 26 indexed citations

Hu, Jie, et al.. (2023). Text semantic matching with an enhanced sample building method based on contrastive learning. International Journal of Machine Learning and Cybernetics. 14(9). 3105–3112. 3 indexed citations

10.

Hu, Jie, et al.. (2023). An effective relation-first detection model for relational triple extraction. Expert Systems with Applications. 238. 122007–122007. 6 indexed citations

11.

Hu, Jie, et al.. (2023). A contrastive learning based universal representation for time series forecasting. Information Sciences. 635. 86–98. 12 indexed citations

12.

Du, Shengdong, et al.. (2023). A missing value filling model based on feature fusion enhanced autoencoder. 585–592. 1 indexed citations

13.

Liu, Wenwen, Jie Hu, Shengdong Du, Hongmei Chen, & Fei Teng. (2022). A Method of Sharing Sentence Vectors for Opinion Triplet Extraction. Neural Processing Letters. 55(1). 751–772. 1 indexed citations

14.

Huang, Dan, Jie Hu, Tianrui Li, Shengdong Du, & Hongmei Chen. (2022). Consistency regularization for deep semi-supervised clustering with pairwise constraints. International Journal of Machine Learning and Cybernetics. 13(11). 3359–3372. 3 indexed citations

15.

Hu, Jie, et al.. (2022). An effective multi-task learning model for end-to-end emotion-cause pair extraction. Applied Intelligence. 53(3). 3519–3529. 8 indexed citations

16.

Hu, Jie, et al.. (2022). Deep linear graph attention model for attributed graph clustering. Knowledge-Based Systems. 246. 108665–108665. 19 indexed citations

17.

Zhang, Pengfei, Tianrui Li, Zhong Yuan, et al.. (2021). A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. Information Fusion. 80. 87–103. 83 indexed citations

18.

Huang, Wei, Tianrui Li, Jia Liu, et al.. (2021). An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability. Information Fusion. 75. 28–40. 51 indexed citations

19.

Du, Shengdong, Tianrui Li, Yan Yang, & Shi‐Jinn Horng. (2020). Multivariate time series forecasting via attention-based encoder–decoder framework. Neurocomputing. 388. 269–279. 327 indexed citations breakdown →

20.

Du, Shengdong, Tianrui Li, Yan Yang, & Shi‐Jinn Horng. (2019). Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. IEEE Transactions on Knowledge and Data Engineering. 33(6). 2412–2424. 316 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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