Zhiguang Cao

5.1k total citations · 4 hit papers
93 papers, 3.1k citations indexed

About

Zhiguang Cao is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Transportation. According to data from OpenAlex, Zhiguang Cao has authored 93 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Industrial and Manufacturing Engineering, 25 papers in Artificial Intelligence and 22 papers in Transportation. Recurrent topics in Zhiguang Cao's work include Vehicle Routing Optimization Methods (29 papers), Transportation Planning and Optimization (21 papers) and Transportation and Mobility Innovations (14 papers). Zhiguang Cao is often cited by papers focused on Vehicle Routing Optimization Methods (29 papers), Transportation Planning and Optimization (21 papers) and Transportation and Mobility Innovations (14 papers). Zhiguang Cao collaborates with scholars based in Singapore, China and Netherlands. Zhiguang Cao's co-authors include Wen Song, Zhenghua Chen, Le Zhang, Jie Zhang, Kaizhou Gao, Hongliang Guo, Wei Cui, Andrew Lim, Yaoxin Wu and Yuyan Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.

In The Last Decade

Zhiguang Cao

84 papers receiving 3.0k 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.

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

2019 410 citations Kaizhou Gao, Zhiguang Cao et al. profile →
WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM

2018 333 citations Zhenghua Chen, Le Zhang et al. profile →
Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning

2022 241 citations Wen Song, Qiqiang Li et al. profile →
Learning Improvement Heuristics for Solving Routing Problems

2021 184 citations Yaoxin Wu, Wen Song et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhiguang Cao Singapore	29	1.2k	616	607	568	502	93	3.1k
Roberto Montemanni Switzerland	29	1.6k 1.3×	268 0.4×	596 1.0×	322 0.6×	555 1.1×	152	2.9k
Li Zhu China	27	626 0.5×	325 0.5×	460 0.8×	1.3k 2.3×	1.3k 2.7×	184	3.4k
Lingxi Li United States	31	385 0.3×	632 1.0×	478 0.8×	388 0.7×	260 0.5×	187	3.1k
Yannis Marinakis Greece	34	1.4k 1.2×	399 0.6×	1.2k 2.0×	226 0.4×	173 0.3×	81	3.0k
Hairong Dong China	37	1.8k 1.5×	211 0.3×	267 0.4×	374 0.7×	569 1.1×	273	4.4k
Kaizhou Gao China	45	4.6k 3.8×	353 0.6×	1.2k 2.0×	456 0.8×	771 1.5×	227	6.8k
Xiwang Guo China	28	2.1k 1.7×	316 0.5×	318 0.5×	200 0.4×	223 0.4×	173	3.2k
Anand Subramanian Brazil	29	2.0k 1.7×	183 0.3×	352 0.6×	366 0.6×	240 0.5×	96	2.8k
Daqiang Zhang China	28	963 0.8×	481 0.8×	512 0.8×	916 1.6×	1.6k 3.3×	92	3.9k
Magdalene Marinaki Greece	29	1.2k 0.9×	308 0.5×	916 1.5×	162 0.3×	138 0.3×	75	2.5k

Countries citing papers authored by Zhiguang Cao

Since Specialization

Citations

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

Fields of papers citing papers by Zhiguang Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiguang Cao

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

Yang, Shangshang, et al.. (2025). LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. 306–315.

Xu, Yixin, et al.. (2025). Learning-guided bi-objective evolutionary optimization for green municipal waste collection vehicle routing. Journal of Cleaner Production. 501. 145316–145316.

Guo, Hongliang, et al.. (2024). SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem. IEEE Transactions on Intelligent Transportation Systems. 25(8). 10190–10205. 2 indexed citations

Ma, Yining, et al.. (2024). Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. IEEE Transactions on Systems Man and Cybernetics Systems. 54(7). 4247–4259. 14 indexed citations

Cao, Zhiguang, et al.. (2024). Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4779–4793. 21 indexed citations

Cao, Zhiguang, et al.. (2024). Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. arXiv (Cornell University). 884–895. 2 indexed citations

Fan, Mingfeng, Yaoxin Wu, Zhiguang Cao, et al.. (2024). Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4677–4689. 4 indexed citations

Xiao, Jianhua, et al.. (2023). A diversity-enhanced memetic algorithm for solving electric vehicle routing problems with time windows and mixed backhauls. Applied Soft Computing. 134. 110025–110025. 21 indexed citations

Li, Jingwen, Yining Ma, Zhiguang Cao, et al.. (2023). Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15279–15291. 15 indexed citations

10.

Song, Wen, et al.. (2023). Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning. IEEE Transactions on Automation Science and Engineering. 21(2). 1457–1468. 10 indexed citations

11.

Fan, Mingfeng, Yaoxin Wu, Tianjun Liao, et al.. (2022). Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations. IEEE Transactions on Vehicular Technology. 72(5). 5732–5746. 28 indexed citations

12.

Jiang, Yuan, et al.. (2021). Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. Autonomous Agents and Multi-Agent Systems. 1548–1550. 2 indexed citations

13.

Li, Jingwen, Liang Xin, Zhiguang Cao, et al.. (2021). Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2306–2315. 89 indexed citations

14.

Guo, Hongliang, et al.. (2021). GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks. IEEE Transactions on Intelligent Transportation Systems. 23(8). 11575–11590. 19 indexed citations

15.

Li, Jingwen, Yining Ma, Ruize Gao, et al.. (2021). Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Transactions on Cybernetics. 52(12). 13572–13585. 122 indexed citations

16.

Li, Qiaohong, Sahil Garg, Jiangtian Nie, et al.. (2020). A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning. IEEE Transactions on Intelligent Transportation Systems. 22(7). 4716–4726. 34 indexed citations

17.

Zhang, Le, Zhenghua Chen, Wei Cui, et al.. (2020). WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet of Things Journal. 7(11). 10773–10781. 67 indexed citations

18.

Cao, Zhiguang, Hongliang Guo, Wen Song, et al.. (2020). Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach. IEEE Transactions on Intelligent Transportation Systems. 22(10). 6353–6364. 5 indexed citations

19.

Ma, Chao, Zhenbing Liu, Zhiguang Cao, et al.. (2020). Cost-sensitive deep forest for price prediction. Pattern Recognition. 107. 107499–107499. 45 indexed citations

20.

Chen, Wei, Zhihang Li, Hong Xue, et al.. (2019). Using FTOC to track shuttlecock for the badminton robot. Neurocomputing. 334. 182–196. 22 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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