Di Zang

795 total citations
44 papers, 511 citations indexed

About

Di Zang is a scholar working on Computer Vision and Pattern Recognition, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Di Zang has authored 44 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Building and Construction and 8 papers in Control and Systems Engineering. Recurrent topics in Di Zang's work include Traffic Prediction and Management Techniques (12 papers), Traffic control and management (7 papers) and Transportation Planning and Optimization (6 papers). Di Zang is often cited by papers focused on Traffic Prediction and Management Techniques (12 papers), Traffic control and management (7 papers) and Transportation Planning and Optimization (6 papers). Di Zang collaborates with scholars based in China, United States and Japan. Di Zang's co-authors include Jiujun Cheng, Junqi Zhang, Keshuang Tang, Zhihua Wei, MengChu Zhou, Dongdong Zhang, Dongdong Zhang, Cheng Wang, Jie Li and Erez N. Allouche and has published in prestigious journals such as Optics Letters, IEEE Access and Sensors.

In The Last Decade

Di Zang

41 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Di Zang China	14	160	141	90	86	69	44	511
Yifan Zhuang China	11	78 0.5×	193 1.4×	137 1.5×	116 1.3×	44 0.6×	30	525
Jie Hu China	13	170 1.1×	97 0.7×	103 1.1×	24 0.3×	19 0.3×	54	753
Stefano Messelodi Italy	13	504 3.1×	56 0.4×	48 0.5×	42 0.5×	74 1.1×	40	687
Carla Maria Modena Italy	12	468 2.9×	59 0.4×	48 0.5×	44 0.5×	58 0.8×	17	621
Sotiris Karabetsos Greece	8	51 0.3×	104 0.7×	37 0.4×	33 0.4×	33 0.5×	29	560
Claudio Vairo Italy	14	276 1.7×	322 2.3×	49 0.5×	20 0.2×	215 3.1×	27	655
Kadiyala Ramana India	15	91 0.6×	96 0.7×	63 0.7×	43 0.5×	30 0.4×	48	665
Sherif E. Hussein Egypt	10	83 0.5×	45 0.3×	34 0.4×	27 0.3×	24 0.3×	25	501
Ruipeng Gao China	15	213 1.3×	124 0.9×	29 0.3×	132 1.5×	20 0.3×	59	866
Anas Basalamah Saudi Arabia	15	75 0.5×	60 0.4×	24 0.3×	107 1.2×	21 0.3×	35	650

Countries citing papers authored by Di Zang

Since Specialization

Citations

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

Fields of papers citing papers by Di Zang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Zang

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

Zang, Di, et al.. (2024). Predictive resilience assessment featuring diffusion reconstruction for road networks under rainfall disturbances. Engineering Applications of Artificial Intelligence. 138. 109317–109317. 1 indexed citations

Wang, Jing, et al.. (2024). Enhancing Neural Network Reliability: Insights From Hardware/Software Collaboration With Neuron Vulnerability Quantization. IEEE Transactions on Computers. 73(8). 1953–1966.

Zang, Di, et al.. (2024). Geometric Algebra Multi-Order Graph Neural Network for Traffic Prediction. IEEE Transactions on Big Data. 11(3). 1206–1220.

Wang, Zengqiang & Di Zang. (2024). Continuous spatial-temporal convolutional networks based neural control differential equations for traffic forecasting. 32. 21–21. 1 indexed citations

Zang, Di, et al.. (2024). Predictive and Multigranularity Resilience Assessment of Urban Transportation Based on Neural Controlled Differential Equation. IEEE Transactions on Reliability. 74(3). 4230–4244.

Zang, Di, et al.. (2024). Predictive resilience assessment of road networks based on dynamic multi-granularity graph neural network. Neurocomputing. 601. 128207–128207. 4 indexed citations

Zhang, Junqi, et al.. (2023). PSO-Based Sparse Source Location in Large-Scale Environments With a UAV Swarm. IEEE Transactions on Intelligent Transportation Systems. 24(5). 5249–5258. 27 indexed citations

Tang, Keshuang, et al.. (2023). Lane‐level short‐term travel speed prediction for urban expressways: An attentive spatio‐temporal deep learning approach. IET Intelligent Transport Systems. 18(4). 709–722. 3 indexed citations

Fu, Yanqing, et al.. (2022). Long-Term Traffic Speed Prediction Based on Geometric Algebra ConvLSTM and Graph Attention. 2 indexed citations

10.

Zang, Di, et al.. (2022). Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network. Sensors. 22(7). 2744–2744. 1 indexed citations

11.

Zang, Di, et al.. (2021). Traffic Data Prediction with Geometric Algebra Convolutional Neural Network. 302–308. 2 indexed citations

12.

Luo, Bin, Fang Yang, Handong Wang, & Di Zang. (2020). Reservoir inflow prediction using a hybrid model based on deep learning. IOP Conference Series Materials Science and Engineering. 715(1). 12044–12044. 10 indexed citations

13.

Tang, Keshuang, et al.. (2020). Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models. IEEE Transactions on Intelligent Transportation Systems. 23(3). 1829–1840. 15 indexed citations

14.

Cheng, Jiujun, et al.. (2019). Location Prediction Model Based on the Internet of Vehicles for Assistance to Medical Vehicles. IEEE Access. 8. 10754–10767. 10 indexed citations

15.

Zhang, Dongdong, Jie Tong, & Di Zang. (2016). Fast CU partition for H.264/AVC to HEVC transcoding based on fisher discriminant analysis. 1–4. 5 indexed citations

16.

Zhang, Junqi, Siyu Lu, Di Zang, & MengChu Zhou. (2016). Integrating Particle Swarm Optimization with Stochastic Point Location method in noisy environment. 19. 2067–2072. 5 indexed citations

17.

Zang, Di, et al.. (2016). Traffic sign detection based on cascaded convolutional neural networks. 201–206. 25 indexed citations

18.

Zhang, Junqi, et al.. (2015). Approximately Optimal Computing-Budget Allocation for subset ranking. 35. 3856–3861. 2 indexed citations

19.

Huang, Jiahe, et al.. (2013). An quality metric for 3D rendered image based on stereo saliency and structural similarity. 170–174. 1 indexed citations

20.

Zang, Di, Jie Li, & Dongdong Zhang. (2011). Robust visual correspondence computation using monogenic curvature phase based mutual information. Optics Letters. 37(1). 10–10. 4 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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