Guangyin Jin

2.0k total citations · 3 hit papers
32 papers, 1.1k citations indexed

About

Guangyin Jin is a scholar working on Building and Construction, Transportation and Control and Systems Engineering. According to data from OpenAlex, Guangyin Jin has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Building and Construction, 16 papers in Transportation and 7 papers in Control and Systems Engineering. Recurrent topics in Guangyin Jin's work include Traffic Prediction and Management Techniques (22 papers), Transportation Planning and Optimization (15 papers) and Traffic control and management (7 papers). Guangyin Jin is often cited by papers focused on Traffic Prediction and Management Techniques (22 papers), Transportation Planning and Optimization (15 papers) and Traffic control and management (7 papers). Guangyin Jin collaborates with scholars based in China, Hong Kong and United Kingdom. Guangyin Jin's co-authors include Jincai Huang, Fuxian Li, Huan Yan, Yong Li, Depeng Jin, Jincai Huang, Funing Sun, Jie Feng, Fan Yang and Zezhi Shao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Guangyin Jin

27 papers receiving 1.1k citations

Hit Papers

3 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.

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

2022 316 citations Fuxian Li, Huan Yan et al. profile →
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

2023 199 citations Guangyin Jin, Yuxuan Liang et al. IEEE Transactions on Knowledge and Data Engineering profile →
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

2024 61 citations Zezhi Shao, Fei Wang et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangyin Jin China	16	777	544	276	224	213	32	1.1k
Chuanpan Zheng China	8	1.0k 1.3×	670 1.2×	401 1.5×	305 1.4×	235 1.1×	12	1.3k
Kristian Henrickson United States	11	661 0.9×	513 0.9×	310 1.1×	91 0.4×	171 0.8×	15	1.1k
Ibai Laña Spain	12	471 0.6×	335 0.6×	221 0.8×	113 0.5×	140 0.7×	41	808
Xiucheng Li China	11	476 0.6×	396 0.7×	152 0.6×	335 1.5×	258 1.2×	27	1.1k
Renhe Jiang Japan	20	679 0.9×	551 1.0×	118 0.4×	326 1.5×	316 1.5×	87	1.2k
Vadim Sokolov United States	14	690 0.9×	608 1.1×	489 1.8×	101 0.5×	159 0.7×	45	1.2k
Xianxuan Lin China	3	518 0.7×	354 0.7×	313 1.1×	91 0.4×	104 0.5×	7	817
Jiayun Luo Singapore	5	485 0.6×	316 0.6×	199 0.7×	116 0.5×	236 1.1×	6	838
Yong Qi China	17	412 0.5×	380 0.7×	263 1.0×	68 0.3×	152 0.7×	49	988

Countries citing papers authored by Guangyin Jin

Since Specialization

Citations

This map shows the geographic impact of Guangyin Jin'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 Guangyin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyin Jin more than expected).

Fields of papers citing papers by Guangyin Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guangyin Jin. 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 Guangyin Jin. The network helps show where Guangyin Jin may publish in the future.

Co-authorship network of co-authors of Guangyin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyin Jin. A scholar is included among the top collaborators of Guangyin Jin 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 Guangyin Jin. Guangyin Jin 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

Jin, Guangyin, et al.. (2025). Will the technological singularity come soon? Modeling the dynamics of artificial intelligence development via multi-logistic growth process. Physica A Statistical Mechanics and its Applications. 664. 130450–130450.

Shao, Zezhi, Tao Sun, Chengqing Yu, et al.. (2025). HUTFormer: Hierarchical U-Net transformer for long-term traffic forecasting. SHILAP Revista de lepidopterología. 5. 100218–100218.

Yin, Rong, et al.. (2025). DADA++: Dual Alignment Domain Adaptation for Unsupervised Video-Text Retrieval. ACM Transactions on Multimedia Computing Communications and Applications.

Jin, Guangyin, et al.. (2025). M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction. 4847–4851. 1 indexed citations

Gao, Ming, et al.. (2024). Dynamic multi-scale spatial-temporal graph convolutional network for traffic flow prediction. Knowledge-Based Systems. 305. 112586–112586. 7 indexed citations

Wen, Haomin, Youfang Lin, Lixia Wu, et al.. (2024). A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7516–7535. 3 indexed citations

Shao, Zezhi, Fei Wang, Yongjun Xu, et al.. (2024). Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Transactions on Knowledge and Data Engineering. 37(1). 291–305. 61 indexed citations breakdown →

Zhang, Jinlei, Hua Li, Shuxin Zhang, et al.. (2023). A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems. International Journal of General Systems. 52(6). 694–721. 20 indexed citations

Jin, Guangyin, Huan Yan, Fuxian Li, Yong Li, & Jincai Huang. (2023). Dual Graph Convolution Architecture Search for Travel Time Estimation. ACM Transactions on Intelligent Systems and Technology. 14(4). 1–23. 16 indexed citations

10.

Jin, Guangyin, Lingbo Liu, Fuxian Li, & Jincai Huang. (2023). Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14268–14276. 34 indexed citations

11.

Zhang, Jinlei, Feng Chen, Lixing Yang, et al.. (2022). Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach. IEEE Transactions on Intelligent Transportation Systems. 23(11). 21034–21049. 11 indexed citations

12.

Jin, Guangyin, et al.. (2022). Deep multi-view graph-based network for citywide ride-hailing demand prediction. Neurocomputing. 510. 79–94. 29 indexed citations

13.

Jin, Guangyin, et al.. (2022). Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems. 24(8). 8820–8830. 67 indexed citations

14.

Jin, Guangyin, et al.. (2021). Adaptive Dual-View WaveNet for urban spatial–temporal event prediction. Information Sciences. 588. 315–330. 41 indexed citations

15.

Jin, Guangyin, et al.. (2021). GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction. Neurocomputing. 455. 353–367. 18 indexed citations

16.

Jin, Guangyin, et al.. (2020). Addressing Crime Situation Forecasting Task with Temporal Graph Convolutional Neural Network Approach. 474–478. 17 indexed citations

17.

Jin, Guangyin, et al.. (2020). UFSP-Net: a neural network with spatio-temporal information fusion for urban fire situation prediction. IOP Conference Series Materials Science and Engineering. 853(1). 12050–12050. 12 indexed citations

18.

Jin, Guangyin, et al.. (2019). Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. 1460–1469. 9 indexed citations

19.

Gao, Yingying, et al.. (2019). Weighted area coverage of maritime joint search and rescue based on multi-agent reinforcement learning. 593–597. 4 indexed citations

20.

Wang, Qi, et al.. (2019). CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale. Knowledge-Based Systems. 189. 105120–105120. 36 indexed citations

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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