Peijun Zhao

1.7k total citations
36 papers, 1.1k citations indexed

About

Peijun Zhao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peijun Zhao has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Peijun Zhao's work include Robotics and Sensor-Based Localization (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Speech and Audio Processing (3 papers). Peijun Zhao is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Speech and Audio Processing (3 papers). Peijun Zhao collaborates with scholars based in United Kingdom, China and United States. Peijun Zhao's co-authors include Niki Trigoni, Andrew Markham, Chris Xiaoxuan Lu, Changhao Chen, Bing Wang, Wei Wang, Jianan Wang, Wei Wang, Changhao Chen and Muhamad Risqi U. Saputra and has published in prestigious journals such as Organic Letters, RSC Advances and IEEE Internet of Things Journal.

In The Last Decade

Peijun Zhao

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peijun Zhao United Kingdom	17	528	401	392	224	172	36	1.1k
Chris Xiaoxuan Lu United Kingdom	24	907 1.7×	693 1.7×	664 1.7×	325 1.5×	204 1.2×	74	1.8k
Udo Frese Germany	21	1.2k 2.2×	393 1.0×	920 2.3×	375 1.7×	274 1.6×	77	2.0k
José Luis Lázaro Galilea Spain	20	296 0.6×	558 1.4×	454 1.2×	114 0.5×	113 0.7×	130	1.3k
José M. González Spain	20	666 1.3×	350 0.9×	716 1.8×	58 0.3×	289 1.7×	44	1.4k
Sungjoon Choi South Korea	17	301 0.6×	171 0.4×	490 1.3×	140 0.6×	169 1.0×	62	1.0k
Fuqiang Gu China	20	358 0.7×	798 2.0×	427 1.1×	169 0.8×	214 1.2×	62	1.3k
M. Zhao United States	14	305 0.6×	827 2.1×	579 1.5×	594 2.7×	225 1.3×	22	1.9k
Rendong Ying China	16	510 1.0×	365 0.9×	584 1.5×	105 0.5×	97 0.6×	96	1.1k
J.-S. Gutmann Japan	16	1.0k 2.0×	349 0.9×	872 2.2×	191 0.9×	260 1.5×	17	1.4k
Siyang Cao United States	13	386 0.7×	261 0.7×	269 0.7×	323 1.4×	94 0.5×	55	857

Countries citing papers authored by Peijun Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Peijun Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijun Zhao

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

Tian, Lifang, Yanfeng Han, Peijun Zhao, et al.. (2025). N²-Alkylation of 1,2,3-Triazoles with Ethers under Thermodynamical Control. Organic Letters. 27(6). 1428–1433. 1 indexed citations

Shi, R., Jinlei Zhang, Chang Chen, et al.. (2025). A comparative study on enhanced enzymatic hydrolysis of diverse herbaceous and woody wastes by promising dilute acid and alkaline pretreatments. Bioresources and Bioprocessing. 12(1). 36–36. 2 indexed citations

Yu, Wenbin, et al.. (2024). Identification of missing higher-order interactions in complex networks. Journal of Complex Networks. 12(4). 1 indexed citations

Zhao, Peijun, et al.. (2024). Computer Vision for Gait Assessment in Cerebral Palsy: Metric Learning and Confidence Estimation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2336–2345. 1 indexed citations

Zhao, Peijun, et al.. (2024). Modeling Uncertainty in Computer Vision Based Gross Motor Function Assessment of Children with Cerebral Palsy. 432–437.

Zhao, Peijun & Hermano Igo Krebs. (2024). Enabling Home Rehabilitation with Smartphone-Powered Upper Limb Training. 438–443. 1 indexed citations

Zhao, Peijun, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, & Andrew Markham. (2023). CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals. IEEE Internet of Things Journal. 10(12). 10236–10249. 46 indexed citations

Yu, Wenbin, et al.. (2023). Improving Robustness of High-Low-Order Coupled Networks against Malicious Attacks Based on a Simulated Annealing Algorithm. Entropy. 26(1). 8–8. 3 indexed citations

Wang, Bing, Changhao Chen, Zhaopeng Cui, et al.. (2021). P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15984–15993. 31 indexed citations

10.

Wang, Wei, Bing Wang, Peijun Zhao, et al.. (2021). PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. IEEE Sensors Journal. 22(1). 959–968. 35 indexed citations

11.

Zhu, Kai, et al.. (2021). DISC. 89–95. 13 indexed citations

12.

Zhao, Peijun, Chris Xiaoxuan Lu, Changhao Chen, et al.. (2020). Heart Rate Sensing with a Robot Mounted mmWave Radar. 2812–2818. 53 indexed citations

13.

Chen, Changhao, Peijun Zhao, Chris Xiaoxuan Lu, et al.. (2020). Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference. IEEE Internet of Things Journal. 7(5). 4431–4441. 111 indexed citations

14.

Wang, Bing, Changhao Chen, Chris Xiaoxuan Lu, et al.. (2020). AtLoc: Attention Guided Camera Localization. Proceedings of the AAAI Conference on Artificial Intelligence. 34(6). 10393–10401. 105 indexed citations

15.

Zhao, Peijun, Chris Xiaoxuan Lu, Jianan Wang, et al.. (2019). mID: Tracking and Identifying People with Millimeter Wave Radar. 33–40. 198 indexed citations

16.

Jiang, Shuhao, et al.. (2019). High-quality face image generation based on generative adversarial networks. Journal of Visual Communication and Image Representation. 71. 102719–102719. 17 indexed citations

17.

Lu, Chris Xiaoxuan, Bowen Du, Peijun Zhao, et al.. (2018). Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations

18.

Wang, Yuntao, Chun Yu, Shaoyun Shi, et al.. (2017). ViVo. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5568–5579. 13 indexed citations

19.

Zhao, Peijun, et al.. (2015). Research and Application of Internet of Things in Intelligent Library. Advances in intelligent systems research. 126. 7 indexed citations

20.

Jia, Jia, et al.. (2015). Understanding the emotions behind social images: Inferring with user demographics. 1–6. 11 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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