Kai Yang

4.3k total citations · 2 hit papers
168 papers, 2.8k citations indexed

About

Kai Yang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kai Yang has authored 168 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Networks and Communications, 51 papers in Electrical and Electronic Engineering and 43 papers in Artificial Intelligence. Recurrent topics in Kai Yang's work include Advanced Wireless Communication Techniques (16 papers), Wireless Communication Networks Research (15 papers) and Cooperative Communication and Network Coding (15 papers). Kai Yang is often cited by papers focused on Advanced Wireless Communication Techniques (16 papers), Wireless Communication Networks Research (15 papers) and Cooperative Communication and Network Coding (15 papers). Kai Yang collaborates with scholars based in China, United States and Singapore. Kai Yang's co-authors include Xiaodong Wang, Michail Matthaiou, George K. Karagiannidis, Shahid Mumtaz, Emil Björnson, Yongming Huang, Amitabha Ghosh, I Chih‐Lin, Yonghui Li and Ming Xiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Neuroscience.

In The Last Decade

Kai Yang

149 papers receiving 2.7k citations

Hit Papers

Millimeter Wave Communications for Future Mobile Networks 2017 2026 2020 2023 2017 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Yang China 24 1.4k 650 538 314 225 168 2.8k
Bin Li China 29 2.0k 1.4× 1.6k 2.4× 574 1.1× 435 1.4× 209 0.9× 326 3.5k
Sunwoo Kim South Korea 26 1.7k 1.2× 498 0.8× 915 1.7× 303 1.0× 162 0.7× 198 2.5k
Lijun Qian United States 34 1.7k 1.1× 1.7k 2.6× 328 0.6× 770 2.5× 314 1.4× 219 3.4k
Jian Chen China 33 3.1k 2.1× 1.5k 2.4× 835 1.6× 330 1.1× 273 1.2× 248 4.2k
Zhen Yang China 28 1.9k 1.3× 810 1.2× 461 0.9× 523 1.7× 366 1.6× 235 2.8k
Zaher Dawy Lebanon 29 2.2k 1.5× 2.1k 3.3× 214 0.4× 324 1.0× 192 0.9× 212 3.5k
Jun Wu China 26 1.4k 1.0× 958 1.5× 355 0.7× 665 2.1× 793 3.5× 218 3.1k
Zhifeng Zhao China 29 1.7k 1.2× 2.0k 3.1× 261 0.5× 851 2.7× 224 1.0× 191 3.9k
Yanheng Liu China 28 899 0.6× 758 1.2× 802 1.5× 527 1.7× 252 1.1× 194 2.4k
Rongpeng Li China 29 1.7k 1.2× 2.0k 3.0× 201 0.4× 876 2.8× 193 0.9× 128 3.7k

Countries citing papers authored by Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yang. A scholar is included among the top collaborators of Kai 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 Kai Yang. Kai 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.
Tian, Baoming, Renjian Liu, Qi Li, et al.. (2025). Dual-immunomodulatory effects on RAW264.7 macrophages and structural elucidation of a polysaccharide isolated from fermentation broth of Paecilomyces hepiali. Journal of Future Foods. 5(6). 628–640. 5 indexed citations
3.
Luo, Yizhen, Kai Yang, Kui Huang, et al.. (2024). Toward Unified AI Drug Discovery with Multimodal Knowledge. SHILAP Revista de lepidopterología. 4. 113–113. 8 indexed citations
4.
Yang, Kai, et al.. (2024). Towards Safe Decision-Making for Autonomous Vehicles at Unsignalized Intersections. IEEE Transactions on Vehicular Technology. 74(3). 3830–3842. 3 indexed citations
5.
Zhang, Zehui, et al.. (2024). High Performance Receiving and Processing Technology in Satellite Beam Hopping Communication. Journal of Systems Engineering and Electronics. 35(4). 815–828.
6.
Yang, Kai, et al.. (2024). Anomaly Detection in Event-Triggered Traffic Time Series via Similarity Learning. IEEE Transactions on Dependable and Secure Computing. 22(2). 888–902. 2 indexed citations
7.
Yang, Kai, et al.. (2023). Local structure-aware graph contrastive representation learning. Neural Networks. 172. 106083–106083. 10 indexed citations
8.
Yang, Kai, et al.. (2023). Advanced Analytics and Predictive Maintenance in Pharmaceutical Manufacturing. IARJSET. 10(11). 1 indexed citations
9.
Yu, Liang, et al.. (2023). Repositioning linifanib as a potent anti-necroptosis agent for sepsis. Cell Death Discovery. 9(1). 57–57. 20 indexed citations
10.
Ma, Hui & Kai Yang. (2023). MetaSTNet: Multimodal Meta-Learning for Cellular Traffic Conformal Prediction. IEEE Transactions on Network Science and Engineering. 11(2). 1999–2011. 5 indexed citations
11.
Yang, Kai, et al.. (2023). Log Anomaly Detection by Adversarial Autoencoders With Graph Feature Fusion. IEEE Transactions on Reliability. 73(1). 637–649. 7 indexed citations
12.
Wang, Yifan, Feng Xu, Xiaoqiang Li, et al.. (2023). Online Prediction of Mechanical Properties of the Hot Rolled Steel Plate Using Time-series Deep Neural Network. ISIJ International. 63(4). 746–757. 10 indexed citations
13.
Yang, Kai, et al.. (2022). Robust Group Anomaly Detection for Quasi-Periodic Network Time Series. IEEE Transactions on Network Science and Engineering. 9(4). 2833–2845. 2 indexed citations
14.
Yang, Kai, Cong Tian, Nan Zhang, Zhenhua Duan, & Hongwei Du. (2021). A CEGAR-Based Static–Dynamic Approach to Verifying Full Regular Properties of C Programs. IEEE Transactions on Reliability. 70(4). 1455–1467.
15.
Chen, Tianyi, et al.. (2021). Edge-Centric Bandit Learning for Task-Offloading Allocations in Multi-RAT Heterogeneous Networks. IEEE Transactions on Vehicular Technology. 70(4). 3702–3714. 22 indexed citations
16.
Wang, Ji, Jun Sun, Xiaodong Wang, Kai Yang, & Yingzhuang Liu. (2020). Extending the Welch Bound: Non-Orthogonal Pilot Sequence Design for Two-Cell Interference Networks. IEEE Transactions on Wireless Communications. 20(2). 1425–1439. 3 indexed citations
17.
Wang, Junfeng, et al.. (2020). Gridless Underdetermined DOA Estimation of Wideband LFM Signals With Unknown Amplitude Distortion Based on Fractional Fourier Transform. IEEE Internet of Things Journal. 7(12). 11612–11625. 6 indexed citations
18.
Yang, Kai, Jie Ren, Chao Tian, Ji Wang, & H. Vincent Poor. (2020). Decoding Binary Linear Codes Over Channels With Synchronization Errors. IEEE Journal on Selected Areas in Communications. 38(12). 2853–2863. 3 indexed citations
19.
Zhu, Yanqiao & Kai Yang. (2019). Tripartite Active Learning for Interactive Anomaly Discovery. IEEE Access. 7. 63195–63203. 8 indexed citations
20.
Wang, Ji, Longfei Zhou, Kai Yang, Xiaodong Wang, & Yingzhuang Liu. (2019). Multicast Precoding for Multigateway Multibeam Satellite Systems With Feeder Link Interference. IEEE Transactions on Wireless Communications. 18(3). 1637–1650. 38 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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