Baofu Wu

585 total citations
11 papers, 331 citations indexed

About

Baofu Wu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Baofu Wu has authored 11 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Automotive Engineering, 6 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Baofu Wu's work include Autonomous Vehicle Technology and Safety (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Advanced Neural Network Applications (2 papers). Baofu Wu is often cited by papers focused on Autonomous Vehicle Technology and Safety (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Advanced Neural Network Applications (2 papers). Baofu Wu collaborates with scholars based in China and United States. Baofu Wu's co-authors include Weisong Shi, Liangkai Liu, Yongtao Yao, Zhong Ren, Sidi Lu, Qingyang Zhang, Jian Wan, Zheng Dong, L. Zhou and Jilin Zhang and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal.

In The Last Decade

Baofu Wu

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Baofu Wu China	7	119	103	97	88	62	11	331
Vipin Kumar Kukkala United States	6	135 1.1×	79 0.8×	118 1.2×	62 0.7×	66 1.1×	11	340
Shaoshan Liu United States	7	91 0.8×	96 0.9×	104 1.1×	68 0.8×	32 0.5×	10	324
Arnav Vaibhav Malawade United States	10	97 0.8×	86 0.8×	65 0.7×	27 0.3×	82 1.3×	14	273
Ankur Sarker United States	14	210 1.8×	59 0.6×	194 2.0×	96 1.1×	69 1.1×	37	497
Manisha Chahal India	9	144 1.2×	86 0.8×	288 3.0×	160 1.8×	46 0.7×	11	541
Henry Alexander Ignatious United Arab Emirates	6	100 0.8×	49 0.5×	73 0.8×	41 0.5×	47 0.8×	12	249
Zhenyu Yan Hong Kong	11	33 0.3×	114 1.1×	66 0.7×	74 0.8×	141 2.3×	41	363
Unmesh Kurup United States	7	94 0.8×	97 0.9×	39 0.4×	53 0.6×	118 1.9×	25	337
Zhong Ren China	9	377 3.2×	89 0.9×	321 3.3×	54 0.6×	61 1.0×	16	572

Countries citing papers authored by Baofu Wu

Since Specialization

Citations

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

Fields of papers citing papers by Baofu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baofu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Baofu Wu. A scholar is included among the top collaborators of Baofu Wu 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 Baofu Wu. Baofu Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Wu, Baofu, Jilin Zhang, Peng Zhan, et al.. (2025). DT-CTFP: 6G-Enabled Digital Twin Collaborative Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems. 26(10). 18129–18144.

2.

Wu, Baofu, Zhong Ren, Yuxin Wang, et al.. (2024). VPI: Vehicle Programming Interface for Vehicle Computing. Journal of Computer Science and Technology. 39(1). 22–44. 9 indexed citations

3.

Wu, Baofu, et al.. (2023). Real-Time Vehicle Localization Using Steering Wheel Angle in Urban Cities. 2. 62–70.

4.

Wu, Baofu, et al.. (2023). Towards C-V2X Enabled Collaborative Autonomous Driving. IEEE Transactions on Vehicular Technology. 72(12). 15450–15462. 24 indexed citations

5.

Wu, Baofu, et al.. (2022). To Turn or Not To Turn, SafeCross is the Answer. 414–424. 1 indexed citations

6.

Wu, Baofu, Sa Wang, Liangkai Liu, et al.. (2021). Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware. IEEE Robotics and Automation Letters. 6(4). 7301–7308. 9 indexed citations

7.

Lu, Sidi, et al.. (2021). SafeCampus: Multimodal-Based Campus-Wide Pandemic Forecasting. IEEE Internet Computing. 26(1). 60–67. 1 indexed citations

8.

Liu, Liangkai, Baofu Wu, & Weisong Shi. (2020). A Comparison of Communication Mechanisms in Vehicular Edge Computing.. 8 indexed citations

9.

Liu, Liangkai, et al.. (2020). Equinox: A Road-Side Edge Computing Experimental Platform for CAVs. 41–42. 17 indexed citations

10.

Liu, Liangkai, Sidi Lu, Zhong Ren, et al.. (2020). Computing Systems for Autonomous Driving: State of the Art and Challenges. IEEE Internet of Things Journal. 8(8). 6469–6486. 248 indexed citations

11.

Zhang, Jilin, Jian Wan, Yongjian Ren, et al.. (2019). Distributed machine learning load balancing strategy in cloud computing services. Wireless Networks. 26(8). 5517–5533. 14 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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