Po Yang

7.9k total citations · 3 hit papers
176 papers, 5.5k citations indexed

About

Po Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Po Yang has authored 176 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 29 papers in Computer Networks and Communications. Recurrent topics in Po Yang's work include Context-Aware Activity Recognition Systems (23 papers), IoT and Edge/Fog Computing (17 papers) and Smart Agriculture and AI (14 papers). Po Yang is often cited by papers focused on Context-Aware Activity Recognition Systems (23 papers), IoT and Edge/Fog Computing (17 papers) and Smart Agriculture and AI (14 papers). Po Yang collaborates with scholars based in United Kingdom, China and Hong Kong. Po Yang's co-authors include Jun Qi, Yun Yang, Zhihan Lv, Khan Muhammad, Ping Li, Wenyan Wu, Dagan Feng, Xulong Wang, Jing Liu and Rujing Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Po Yang

166 papers receiving 5.3k citations

Hit Papers

Comparison and Modelling of Country-level Microblog User ... 2017 2026 2020 2023 2019 2018 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Po Yang United Kingdom 36 1.6k 1.4k 968 803 578 176 5.5k
Marcin Woźniak Poland 48 2.1k 1.3× 2.1k 1.5× 817 0.8× 823 1.0× 517 0.9× 273 7.2k
João Paulo Papa Brazil 46 1.7k 1.0× 2.8k 2.0× 698 0.7× 1.2k 1.5× 567 1.0× 287 7.8k
Usman Tariq Saudi Arabia 41 1.4k 0.9× 1.9k 1.4× 1.1k 1.1× 479 0.6× 483 0.8× 247 5.4k
Yunyoung Nam South Korea 37 1.2k 0.7× 910 0.7× 842 0.9× 582 0.7× 982 1.7× 271 4.6k
Nianyin Zeng China 43 2.6k 1.6× 3.0k 2.2× 503 0.5× 980 1.2× 813 1.4× 142 9.5k
Weibo Liu China 29 1.6k 1.0× 2.0k 1.5× 570 0.6× 896 1.1× 311 0.5× 95 5.9k
Li Zhang China 45 2.4k 1.5× 2.4k 1.8× 471 0.5× 556 0.7× 584 1.0× 389 7.1k
Mehedi Masud Saudi Arabia 40 843 0.5× 1.8k 1.3× 1.3k 1.3× 835 1.0× 273 0.5× 260 5.7k
Abdulkadir Şengür Türkiye 52 1.6k 1.0× 2.6k 1.9× 467 0.5× 612 0.8× 740 1.3× 229 8.7k
Seungmin Rho South Korea 44 2.1k 1.3× 1.8k 1.3× 1.9k 2.0× 2.1k 2.6× 340 0.6× 329 7.6k

Countries citing papers authored by Po Yang

Since Specialization
Citations

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

Fields of papers citing papers by Po Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Po Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Po Yang. A scholar is included among the top collaborators of Po 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 Po Yang. Po 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.
Wang, Xulong, et al.. (2024). Wearable-Sensor-Based Weakly Supervised Parkinson’s Disease Assessment with Data Augmentation. Sensors. 24(4). 1196–1196. 5 indexed citations
2.
Liu, Kang, et al.. (2024). Observer-Based Adaptive Finite-Time Neural Control for Constrained Nonlinear Systems With Actuator Saturation Compensation. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 10 indexed citations
3.
Zhao, Libo, Xiaoyan Huang, Weidi Huang, et al.. (2023). Self-supervised knowledge mining from unlabeled data for bearing fault diagnosis under limited annotations. Measurement. 220. 113387–113387. 11 indexed citations
5.
Chen, Sheng, et al.. (2023). Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Transactions on Control Systems Technology. 32(2). 384–398. 3 indexed citations
6.
Qi, Jun, et al.. (2022). Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet of Things Journal. 10(8). 6742–6755. 5 indexed citations
8.
Yang, Yun, et al.. (2022). A novel feature relearning method for automatic sleep staging based on single-channel EEG. Complex & Intelligent Systems. 9(1). 41–50. 7 indexed citations
9.
Wang, Jiayu, et al.. (2022). A Multi-Classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(4). 559–572. 10 indexed citations
10.
Kang, Yan, Bin Pu, Yun Yang, et al.. (2022). A Deep Graph Network with Multiple Similarity for User Clustering in Human–Computer Interaction. ACM Transactions on Multimedia Computing Communications and Applications. 20(2). 1–20. 5 indexed citations
11.
Li, Jiajia, Jie Chen, Bin Sheng, et al.. (2021). Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Transactions on Industrial Informatics. 18(1). 163–173. 163 indexed citations
12.
Wu, Wenyan, et al.. (2021). Improving Water Pressure Measurement Using Temperature-Compensated Wireless Passive SAW Bidirectional RDL Pressure Sensor. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 11 indexed citations
13.
Cheema, Muhammad Nadeem, Anam Nazir, Po Yang, et al.. (2021). Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Transactions on Industrial Informatics. 17(12). 7991–8002. 28 indexed citations
14.
Nazir, Anam, Muhammad Nadeem Cheema, Bin Sheng, et al.. (2020). OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation. IEEE Transactions on Image Processing. 29. 7192–7202. 91 indexed citations
15.
Cao, Bin, Jianwei Zhao, Po Yang, et al.. (2019). Multiobjective feature selection for microarray data via distributed parallel algorithms. Future Generation Computer Systems. 100. 952–981. 24 indexed citations
16.
Zhang, Yuan, Yao Guo, Po Yang, Wei Chen, & Benny Lo. (2019). Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network. IEEE Journal of Biomedical and Health Informatics. 24(2). 465–474. 212 indexed citations
17.
Masood, Saleha, Ruogu Fang, Ping Li, et al.. (2019). Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning. Scientific Reports. 9(1). 3058–3058. 77 indexed citations
18.
Yang, Po, Geng Yang, Jing Liu, et al.. (2019). DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. IEEE Transactions on Industrial Informatics. 16(8). 5317–5326. 7 indexed citations
19.
Sheng, Bin, et al.. (2018). Fast and Accurate Retinal Identification System: Using Retinal Blood Vasculature Landmarks. IEEE Transactions on Industrial Informatics. 15(7). 4099–4110. 17 indexed citations
20.
Liu, Jing & Po Yang. (2007). A Localization Algorithm for Mobile Robots in RFID System. 2109–2112. 25 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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