Haojun Yang

745 total citations
44 papers, 479 citations indexed

About

Haojun Yang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Haojun Yang has authored 44 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 14 papers in Computer Networks and Communications and 8 papers in Biomedical Engineering. Recurrent topics in Haojun Yang's work include Vehicular Ad Hoc Networks (VANETs) (12 papers), Advanced MIMO Systems Optimization (7 papers) and IoT and Edge/Fog Computing (5 papers). Haojun Yang is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (12 papers), Advanced MIMO Systems Optimization (7 papers) and IoT and Edge/Fog Computing (5 papers). Haojun Yang collaborates with scholars based in China, Canada and United States. Haojun Yang's co-authors include Kan Zheng, Kuan Zhang, Long Zhao, Yi Qian, Lu Hou, Periklis Chatzimisios, Qiang Zheng, Lajos Hanzo, Jie Mei and Ming Yu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Hydrogen Energy and IEEE Access.

In The Last Decade

Haojun Yang

42 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haojun Yang China 12 289 169 58 58 47 44 479
Cheng Luo China 15 431 1.5× 113 0.7× 50 0.9× 28 0.5× 204 4.3× 107 727
Fahd Ahmed Khan United Kingdom 11 437 1.5× 233 1.4× 108 1.9× 108 1.9× 56 1.2× 38 585
Muhammad Bilal Qureshi Pakistan 11 270 0.9× 36 0.2× 52 0.9× 66 1.1× 120 2.6× 36 405
Min Hua China 13 495 1.7× 337 2.0× 52 0.9× 81 1.4× 44 0.9× 57 672
Khairun Nidzam Ramli Malaysia 13 462 1.6× 175 1.0× 34 0.6× 168 2.9× 30 0.6× 64 614
Biao Zhou United States 14 447 1.5× 588 3.5× 34 0.6× 41 0.7× 15 0.3× 33 838
Kim South Korea 11 154 0.5× 185 1.1× 23 0.4× 27 0.5× 54 1.1× 96 469
Jingyu Yang China 10 102 0.4× 79 0.5× 16 0.3× 52 0.9× 109 2.3× 35 321

Countries citing papers authored by Haojun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Haojun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haojun Yang

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

All Works

20 of 20 papers shown
1.
Yang, Jiancheng, Haojun Yang, Tao Xing, et al.. (2025). Insight into the mechanisms of methane production enhancement by bioaugmentation with H2/CO2 in anaerobic digestion. International Journal of Hydrogen Energy. 113. 340–347. 1 indexed citations
2.
Huang, Xinyu, Haojun Yang, Shisheng Hu, & Xuemin Shen. (2024). Digital Twin-Driven Network Architecture for Video Streaming. IEEE Network. 38(6). 334–341. 9 indexed citations
3.
Liu, Junyu, et al.. (2024). Resource Allocation for Adaptive Beam Alignment in UAV-Assisted Integrated Sensing and Communication Networks. IEEE Journal on Selected Areas in Communications. 43(1). 350–363. 2 indexed citations
4.
Huang, Xinyu, et al.. (2024). When Digital Twin Meets Generative AI: Intelligent Closed-Loop Network Management. IEEE Network. 39(5). 272–279. 12 indexed citations
5.
Huang, Xinyu, et al.. (2024). Digital Twin-Based Network Management for Better QoE in Multicast Short Video Streaming. IEEE Transactions on Wireless Communications. 23(11). 16187–16202. 4 indexed citations
6.
He, Guohua, Xiangdong Gao, & Haojun Yang. (2024). AETMC-FCVT: An end-to-end welding defect detection and classification method based on magneto-optical infrared bi-imaging system. Mechanical Systems and Signal Processing. 224. 112058–112058. 4 indexed citations
7.
Zheng, Kan, Rongtao Xu, Jie Mei, et al.. (2024). Ambient IoT Toward 6G: Standardization, Potentials, and Challenges. IEEE Access. 12. 146668–146677. 4 indexed citations
8.
Yang, Haojun, et al.. (2024). Identification of welding defects by combining magnetic-optical imaging and infrared imaging. Applied Optics. 63(29). 7692–7692.
9.
Zheng, Kan, Haojun Yang, Xiong Xiong, et al.. (2023). Dynamic Beam-Based Random Access Scheme for M2M Communications in Massive MIMO Systems. IEEE Transactions on Vehicular Technology. 1–12. 5 indexed citations
10.
Zheng, Kan, Haojun Yang, Shiwen Liu, Kuan Zhang, & Lei Lei. (2022). A Behavior Decision Method Based on Reinforcement Learning for Autonomous Driving. IEEE Internet of Things Journal. 9(24). 25386–25394. 14 indexed citations
11.
Sun, Ruize, Pan Luo, Fangzhou Wang, et al.. (2022). Reverse Blocking p-GaN Gate HEMTs With Multicolumn p-GaN/Schottky Alternate-Island Drain. IEEE Electron Device Letters. 43(6). 850–853. 13 indexed citations
12.
Yu, Chong, et al.. (2021). Leveraging Energy, Latency, and Robustness for Routing Path Selection in Internet of Battlefield Things. IEEE Internet of Things Journal. 9(14). 12601–12613. 6 indexed citations
13.
Yang, Haojun, Kuan Zhang, Kan Zheng, & Yi Qian. (2020). Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks. IEEE Transactions on Wireless Communications. 19(5). 3607–3622. 35 indexed citations
14.
Yang, Haojun, Kuan Zhang, Kan Zheng, & Yi Qian. (2020). Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultrareliable and Low-Latency IoT Control Systems. IEEE Internet of Things Journal. 7(9). 8356–8371. 18 indexed citations
15.
Yang, Haojun, et al.. (2019). Heterogeneous Vehicular Networks for Social Networks: Requirements and Challenges. ZTE communications. 14(3). 29–35.
16.
Yang, Haojun, Kan Zheng, Long Zhao, et al.. (2017). High Reliability and Low Latency for Vehicular Networks: Challenges and Solutions.. arXiv (Cornell University). 6 indexed citations
17.
Long, Hang, et al.. (2017). Coexistence of LTE and WLAN systems and improvement of L2S interface. 1–6. 2 indexed citations
18.
Yang, Haojun, et al.. (2017). Link available time prediction based GPSR for vehicular ad hoc networks. 293–298. 19 indexed citations
19.
Zhao, Long, Kan Zheng, Haojun Yang, & Wei Xiang. (2016). Beamformer Design and Utility Optimization for Hybrid Information and Energy Transfer With Massive MIMO. IEEE Systems Journal. 12(2). 1981–1992. 11 indexed citations
20.
Zheng, Kan, Qiang Zheng, Haojun Yang, et al.. (2015). Reliable and efficient autonomous driving: the need for heterogeneous vehicular networks. IEEE Communications Magazine. 53(12). 72–79. 75 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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