Xiaoshan Bai

1.8k total citations · 4 hit papers
54 papers, 1.1k citations indexed

About

Xiaoshan Bai is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaoshan Bai has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 17 papers in Control and Systems Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaoshan Bai's work include Robotic Path Planning Algorithms (11 papers), Optimization and Search Problems (10 papers) and Distributed Control Multi-Agent Systems (10 papers). Xiaoshan Bai is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Optimization and Search Problems (10 papers) and Distributed Control Multi-Agent Systems (10 papers). Xiaoshan Bai collaborates with scholars based in China, Netherlands and South Korea. Xiaoshan Bai's co-authors include Weisheng Yan, Ming Cao, Javier Alonso–Mora, Shuzhi Sam Ge, Inam Ullah, Andrés Fielbaum, Daniel Harabor, Zhe Chen, Peter J. Stuckey and Bo Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Xiaoshan Bai

51 papers receiving 1.1k 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 Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems

2024 58 citations Ahmad Ali, Inam Ullah et al. IEEE Transactions on Consumer Electronics profile →
Mobile robot localization: Current challenges and future prospective

2024 48 citations Inam Ullah, Deepak Adhikari et al. profile →
An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems

2025 27 citations Ahmad Ali, Inam Ullah et al. IEEE Transactions on Intelligent Transportation Systems profile →
Energy‐Efficient Resource Allocation for Urban Traffic Flow Prediction in Edge‐Cloud Computing

2025 22 citations Ahmad Ali, Inam Ullah et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoshan Bai China	18	388	323	215	206	204	54	1.1k
Ahmed Hussein Spain	17	422 1.1×	312 1.0×	141 0.7×	244 1.2×	270 1.3×	53	1.1k
Swaroop Darbha United States	21	328 0.8×	356 1.1×	286 1.3×	262 1.3×	872 4.3×	145	1.6k
Siew-Kei Lam Singapore	17	378 1.0×	326 1.0×	65 0.3×	160 0.8×	73 0.4×	173	1.5k
Shen Wang Ireland	15	154 0.4×	269 0.8×	66 0.3×	178 0.9×	213 1.0×	67	1.2k
Ali Karimoddini United States	15	212 0.5×	245 0.8×	66 0.3×	193 0.9×	289 1.4×	102	951
Xuting Duan China	25	284 0.7×	720 2.2×	86 0.4×	269 1.3×	321 1.6×	99	1.7k
Guni Sharon United States	18	1.3k 3.3×	504 1.6×	290 1.3×	270 1.3×	268 1.3×	44	1.7k
Rahul Kala India	18	739 1.9×	145 0.4×	59 0.3×	293 1.4×	294 1.4×	117	1.2k
Erjen Lefeber Netherlands	20	402 1.0×	230 0.7×	276 1.3×	162 0.8×	1.3k 6.2×	71	1.7k
David Oxtoby United Kingdom	7	412 1.1×	120 0.4×	50 0.2×	158 0.8×	259 1.3×	9	927

Countries citing papers authored by Xiaoshan Bai

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoshan Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshan Bai

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

Ali, Ahmad, et al.. (2025). Dynamic multi-graph spatio-temporal learning for citywide traffic flow prediction in transportation systems. Chaos Solitons & Fractals. 199. 116898–116898. 10 indexed citations

Abbas, Muhammad Zahid, et al.. (2025). Optimizing smart city services by utilizing appropriate characteristics of digital twin for urban excellence. Alexandria Engineering Journal. 122. 399–410. 4 indexed citations

Ali, Ahmad, Inam Ullah, Sushil Kumar Singh, et al.. (2025). Attention-Driven Graph Convolutional Networks for Deadline-Constrained Virtual Machine Task Allocation in Edge Computing. IEEE Transactions on Consumer Electronics. 71(2). 5595–5605. 9 indexed citations

Ali, Ahmad, Inam Ullah, Shabir Ahmad, et al.. (2025). An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 26(9). 14154–14168. 27 indexed citations breakdown →

Ullah, Inam, et al.. (2025). An Ensemble-Based Hybrid Model for the Detection of Attacks in the Internet of Vehicular Things. IEEE Transactions on Intelligent Transportation Systems. 26(10). 17914–17927. 6 indexed citations

Bai, Xiaoshan, Haoyu Jiang, Inam Ullah, et al.. (2025). Efficient Hybrid Multi-Population Genetic Algorithm for Multi-UAV Task Assignment in Consumer Electronics Applications. IEEE Transactions on Consumer Electronics. 71(2). 2395–2406. 3 indexed citations

Qiu, Li, et al.. (2025). Dual-Mode Model Predictive Control for Constrained Networked Control System With DoS Attacks and Disturbances. IEEE Transactions on Automation Science and Engineering. 22. 14987–14996.

Zhang, Bo, et al.. (2024). A reliable traversability learning method based on human-demonstrated risk cost mapping for mobile robots over uneven terrain. Engineering Applications of Artificial Intelligence. 138. 109339–109339. 2 indexed citations

Sharafian, Amin, Inam Ullah, Sushil Kumar Singh, et al.. (2024). Adaptive fuzzy backstepping secure control for incommensurate fractional order cyber–physical power systems under intermittent denial of service attacks. Chaos Solitons & Fractals. 186. 115288–115288. 24 indexed citations

10.

Ullah, Inam, Farhad Ali, Amin Sharafian, et al.. (2024). Optimizing underwater connectivity through multi-attribute decision-making for underwater IoT deployments using remote sensing technologies. Frontiers in Marine Science. 11. 5 indexed citations

11.

Bai, Xiaoshan, et al.. (2024). Efficient Performance Impact Algorithms for Multirobot Task Assignment With Deadlines. IEEE Transactions on Industrial Electronics. 71(11). 14373–14382. 10 indexed citations

12.

Ullah, Inam, et al.. (2024). Revolutionizing E-Commerce With Consumer-Driven Energy-Efficient WSNs: A Multi-Characteristics Approach. IEEE Transactions on Consumer Electronics. 70(4). 6871–6882. 15 indexed citations

13.

Ali, Ahmad, Inam Ullah, Mohammad Shabaz, et al.. (2024). A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems. IEEE Transactions on Consumer Electronics. 70(4). 7252–7265. 58 indexed citations breakdown →

14.

Ullah, Inam, et al.. (2024). Ubiquitous computation in internet of vehicles for human-centric transport systems. Computers in Human Behavior. 161. 108394–108394. 10 indexed citations

15.

Sharafian, Amin, et al.. (2023). A novel approach to state estimation of HIV infection dynamics using fixed-time fractional order observer. Chaos Solitons & Fractals. 177. 114192–114192. 4 indexed citations

16.

Raja, R., et al.. (2023). Asymptotic pinning synchronization of nonlinear multi-agent systems: Its application to tunnel diode circuit. Nonlinear Analysis Hybrid Systems. 49. 101366–101366. 18 indexed citations

17.

Li, Sizhong, et al.. (2023). Genome-wide identification and expression analysis of SUT gene family members in sugar beet (Beta vulgaris L.). Gene. 870. 147422–147422. 7 indexed citations

18.

Bai, Xiaoshan, et al.. (2023). Efficient Package Delivery Task Assignment for Truck and High Capacity Drone. IEEE Transactions on Intelligent Transportation Systems. 24(11). 13422–13435. 29 indexed citations

19.

Chen, Zhe, Javier Alonso–Mora, Xiaoshan Bai, Daniel Harabor, & Peter J. Stuckey. (2021). Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery. IEEE Robotics and Automation Letters. 6(3). 5816–5823. 124 indexed citations

20.

Bai, Xiaoshan, Weisheng Yan, & Shuzhi Sam Ge. (2020). Efficient Task Assignment for Multiple Vehicles With Partially Unreachable Target Locations. IEEE Internet of Things Journal. 8(5). 3730–3742. 17 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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