Pei Yang

1.9k total citations
111 papers, 1.3k citations indexed

About

Pei Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pei Yang has authored 111 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pei Yang's work include Domain Adaptation and Few-Shot Learning (16 papers), Face and Expression Recognition (11 papers) and Text and Document Classification Technologies (8 papers). Pei Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (16 papers), Face and Expression Recognition (11 papers) and Text and Document Classification Technologies (8 papers). Pei Yang collaborates with scholars based in China, United States and Qatar. Pei Yang's co-authors include Limei Han, Jianxin Wang, Jing Qin, Chunlin Chen, Jianyong Sheng, Ruixiang Li, Wei Gao, Jingrui He, Guihua Wen and Lihong Wu and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Power Sources and Scientific Reports.

In The Last Decade

Pei Yang

96 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Yang China 17 277 260 228 214 212 111 1.3k
Fen Chen China 25 66 0.2× 561 2.2× 328 1.4× 162 0.8× 259 1.2× 179 2.1k
Vishal Jain India 22 362 1.3× 387 1.5× 113 0.5× 65 0.3× 134 0.6× 210 2.0k
Mohd Asif Shah India 24 318 1.1× 213 0.8× 149 0.7× 14 0.1× 150 0.7× 140 1.6k
Shan Chang China 20 345 1.2× 103 0.4× 131 0.6× 87 0.4× 79 0.4× 99 1.6k
Chenfeng Xu China 19 344 1.2× 941 3.6× 245 1.1× 16 0.1× 167 0.8× 55 2.1k
Yan Yang China 20 335 1.2× 113 0.4× 111 0.5× 35 0.2× 804 3.8× 122 2.1k
Yuliang Zhao China 25 111 0.4× 267 1.0× 654 2.9× 76 0.4× 163 0.8× 133 1.6k
Zijian Wang China 18 350 1.3× 215 0.8× 46 0.2× 46 0.2× 110 0.5× 105 1.3k
Wenjuan Jia China 17 299 1.1× 213 0.8× 123 0.5× 10 0.0× 131 0.6× 46 1.2k
Guoqing Wang China 21 259 0.9× 616 2.4× 85 0.4× 14 0.1× 212 1.0× 107 1.5k

Countries citing papers authored by Pei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Yang. A scholar is included among the top collaborators of Pei 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 Pei Yang. Pei 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, Tao, et al.. (2025). TCAD evaluation of single-event burnout and hardening strategies in NiO/β-Ga2O3 heterojunction junction barrier Schottky diodes. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 564. 165713–165713.
2.
Ma, Zhibin, Kun‐Lin Yang, Ting Li, et al.. (2025). Identification of a TIGIT-expressing CD8+ T cell subset as a potential prognostic biomarker in colorectal cancer. Frontiers in Immunology. 16. 1626367–1626367.
3.
Wen, Guihua, et al.. (2024). CDGT: Constructing diverse graph transformers for emotion recognition from facial videos. Neural Networks. 179. 106573–106573. 2 indexed citations
4.
Yang, Pei, et al.. (2024). Deep blind super-resolution for hyperspectral images. Pattern Recognition. 157. 110916–110916. 3 indexed citations
5.
Wen, Guihua, et al.. (2024). Multi-geometry embedded transformer for facial expression recognition in videos. Expert Systems with Applications. 249. 123635–123635. 4 indexed citations
6.
Wen, Guihua, et al.. (2024). CFAN-SDA: Coarse-Fine Aware Network With Static-Dynamic Adaptation for Facial Expression Recognition in Videos. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13507–13517. 2 indexed citations
7.
Yang, Pei & Guoqiang You. (2024). Secure application-centric service authentication with regression learning for security systems in smart city applications. International Journal of Global Energy Issues. 46(3/4). 208–230. 1 indexed citations
8.
Wen, Guihua, et al.. (2024). Speech Relationship Learning for Cross-Corpus Speech Emotion Recognition. 10656–10660. 1 indexed citations
9.
Yang, Pei, Liujie Xu, Jianye Liu, et al.. (2023). Exploring ANFIS application based on actual data from wastewater treatment plant for predicting effluent removal quality of selected major pollutants. Journal of Water Process Engineering. 56. 104247–104247. 9 indexed citations
10.
Wen, Guihua, et al.. (2023). From patch, sample to domain: Capture geometric structures for few-shot learning. Pattern Recognition. 148. 110147–110147. 4 indexed citations
11.
Xie, Yangyang, Xiaotong Li, Jingyi Wu, et al.. (2023). CAR-T cells for cancer immunotherapy. Chinese Chemical Letters. 34(9). 108202–108202. 10 indexed citations
12.
Wen, Guihua, et al.. (2023). Cross-Domain Sample Relationship Learning for Facial Expression Recognition. IEEE Transactions on Multimedia. 26. 3788–3798. 3 indexed citations
13.
Li, Yulin, Xinqi Wu, Pei Yang, et al.. (2023). Recent advances on macromolecular medicinal materials for radioprotection. Journal of Drug Delivery Science and Technology. 81. 104224–104224. 5 indexed citations
14.
Yang, Pei, Liqian Cui, Xin Zhou, et al.. (2022). Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial. BMJ Open. 12(12). e063442–e063442. 1 indexed citations
15.
Wang, Xiaomeng, Wen-Fang Zhong, Zhihao Li, et al.. (2022). Dietary diversity and frailty among older Chinese people: evidence from the Chinese Longitudinal Healthy Longevity Study. American Journal of Clinical Nutrition. 117(2). 383–391. 20 indexed citations
16.
Yang, Pei, Hongxia Yang, Haoda Fu, et al.. (2016). Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. ACM Transactions on Knowledge Discovery from Data. 10(4). 1–25. 7 indexed citations
17.
Yang, Pei, et al.. (2012). Information-theoretic Multi-view Domain Adaptation. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 270–274. 8 indexed citations
18.
Yang, Pei, et al.. (2007). Internet Information Collection and Processing Technology. Jisuanji gongcheng. 1 indexed citations
19.
Yang, Pei. (2003). Cloning and Sequencing the Internal Transcribed Spacer of the Ribosomal Gene of Plasmodiophora brassicae and Applying it in Detecting the Pathogen. Yunnan Nongye Daxue xuebao. 2 indexed citations
20.
Yang, Pei. (2002). PCR Detection of Plasmodiophora brassicae Causing Cruciferae Clubroot. Yunnan Nongye Daxue xuebao. 2 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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