Yujiao Hu

622 total citations · 1 hit paper
29 papers, 332 citations indexed

About

Yujiao Hu is a scholar working on Computer Networks and Communications, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yujiao Hu has authored 29 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 6 papers in Automotive Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yujiao Hu's work include Robotic Path Planning Algorithms (5 papers), Transportation and Mobility Innovations (4 papers) and IoT and Edge/Fog Computing (4 papers). Yujiao Hu is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Transportation and Mobility Innovations (4 papers) and IoT and Edge/Fog Computing (4 papers). Yujiao Hu collaborates with scholars based in China, Canada and Singapore. Yujiao Hu's co-authors include Yuan Yao, Wee Sun Lee, Xingshe Zhou, Qingmin Jia, Gang Yang, Xiaomao Zhou, Renchao Xie, F. Richard Yu, Qian Ren and Yong Lee and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Yujiao Hu

27 papers receiving 326 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.

Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review

2024 61 citations Yujiao Hu, Qingmin Jia et al. IEEE Internet of Things Journal profile →

Peers

Yujiao Hu

CNC

IME

AI

CVPR

EEE

Jiuhong Xiao China

Mahdi Bahaghighat Iran

Luciano Perdig�ão Cota Brazil

Wenfeng Li China

Shuxin Ding China

Carmine Cerrone Italy

Hossein Akbaripour Iran

Ittetsu Taniguchi Japan

Moncef Tagina Tunisia

Murat Ermiş Türkiye

Jiuhong Xiao China

Yujiao Hu

48 ×0.5

CNC

80 ×0.9

IME

62 ×0.8

AI

69 ×1.0

CVPR

99 ×1.5

EEE

Citations per year, relative to Yujiao Hu Yujiao Hu (= 1×) peers Jiuhong Xiao

Countries citing papers authored by Yujiao Hu

Since Specialization

Citations

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

Fields of papers citing papers by Yujiao Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujiao Hu

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

1.

Yao, Yuan, Yujiao Hu, Wei Tao, et al.. (2025). Workload-Aware Performance Model Based Soft Preemptive Real-Time Scheduling for Neural Processing Units. IEEE Transactions on Parallel and Distributed Systems. 36(6). 1058–1070. 1 indexed citations

2.

Hu, Yujiao, et al.. (2025). Efficient and Adaptive Human Pose Estimation on Resource-Constrained Computing Devices via Knowledge Distillation and Temporal Propagation. IEEE Internet of Things Journal. 12(11). 17263–17280. 1 indexed citations

3.

Hu, Yujiao, et al.. (2025). Solving Scalable Multiagent Routing Problems With Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(11). 19604–19618. 7 indexed citations

4.

Hu, Yujiao, et al.. (2025). Deterministic Scheduling and Network Structure Optimization for Time-Critical Computing Tasks in Industrial IoT. 33(6). 3391–3407. 1 indexed citations

5.

Hu, Yujiao, et al.. (2025). LLM-Enabled Multi-Modal Data Synthesis via Cross-Domain Collaboration. IEEE Communications Magazine. 63(10). 86–93.

6.

Guo, Bin, et al.. (2024). Pioneering Cooperative Air-Ground Instant Delivery Using UAVs and Crowdsourced Couriers. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(4). 1–26. 1 indexed citations

7.

Hu, Yujiao, Qingmin Jia, Jinchao Chen, et al.. (2024). CoRaiS: Lightweight Real-Time Scheduler for Multiedge Cooperative Computing. IEEE Internet of Things Journal. 11(17). 28649–28666. 1 indexed citations

8.

Zhou, Xiaomao, Qingmin Jia, Yujiao Hu, et al.. (2024). GenG: An LLM-Based Generic Time Series Data Generation Approach for Edge Intelligence via Cross-Domain Collaboration. 1–6. 3 indexed citations

9.

Jia, Qingmin, et al.. (2024). Advancing General Sensor Data Synthesis by Integrating LLMs and Domain-Specific Generative Models. IEEE Sensors Letters. 8(11). 1–4. 1 indexed citations

10.

Wang, Qianru, et al.. (2024). Toward Efficient Urban Emergency Response Using UAVs Riding Crowdsourced Buses. IEEE Internet of Things Journal. 11(12). 22439–22455. 4 indexed citations

11.

Zhou, Xiaomao, et al.. (2024). Cross-Domain Integration for General Sensor Data Synthesis: Leveraging LLMs and Domain-Specific Generative Models in Collaborative Environments. IEEE Sensors Journal. 24(24). 42311–42326. 1 indexed citations

12.

Hu, Yujiao, Qingmin Jia, Yuan Yao, et al.. (2024). Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review. IEEE Internet of Things Journal. 11(11). 19143–19167. 61 indexed citations breakdown →

13.

Huang, Hao, et al.. (2023). Automated detection of through-cracks in pavement using three-instantaneous attributes fusion and Swin Transformer network. Automation in Construction. 158. 105179–105179. 14 indexed citations

14.

Hu, Yujiao, et al.. (2023). Characteristics and prediction of traffic-related PMs and CO2 at the urban neighborhood scale. Atmospheric Pollution Research. 15(2). 101985–101985. 7 indexed citations

15.

Hu, Yujiao, et al.. (2022). 3CL-Net: A Four-in-One Networking Paradigm for 6G System. 1 indexed citations

16.

Hu, Yujiao, Peiyao Wu, Han Jiang, et al.. (2022). Enhancement of red exciplex efficiency: A study of environmental heavy metal effect. Optical Materials. 134. 113071–113071. 2 indexed citations

17.

Hu, Yujiao, et al.. (2020). A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs. Engineering Applications of Artificial Intelligence. 97. 104061–104061. 31 indexed citations

18.

Hu, Yujiao, Yuan Yao, & Wee Sun Lee. (2020). A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs. Knowledge-Based Systems. 204. 106244–106244. 83 indexed citations

19.

Yao, Yuan, Yujiao Hu, Gang Yang, & Xingshe Zhou. (2019). On MAC Access Delay Distribution for IEEE 802.11p Broadcast in Vehicular Networks. IEEE Access. 7. 149052–149067. 14 indexed citations

20.

Hu, Yujiao, Xingshe Zhou, & Yuan Yao. (2019). Decentralized Velocity-Aware Motion Planning for Multi-agent Coordination. 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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