Kun Liang

1.5k total citations
52 papers, 640 citations indexed

About

Kun Liang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Kun Liang has authored 52 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Electrical and Electronic Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Kun Liang's work include Online Learning and Analytics (7 papers), Network Security and Intrusion Detection (5 papers) and Topic Modeling (3 papers). Kun Liang is often cited by papers focused on Online Learning and Analytics (7 papers), Network Security and Intrusion Detection (5 papers) and Topic Modeling (3 papers). Kun Liang collaborates with scholars based in China, United States and Qatar. Kun Liang's co-authors include Ping Liu, Yiying Zhang, Cuiqing Jiang, Xi Chen, Rui Duan, Zhiwei Wang, Ng Shyh‐Chang, Yong Ding, Yao Liu and Xiankun Zhang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Cell stem cell and Science Advances.

In The Last Decade

Kun Liang

42 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun Liang China	15	144	133	108	107	98	52	640
Yafei Li China	19	103 0.7×	189 1.4×	44 0.4×	113 1.1×	164 1.7×	89	1.2k
Xingwei Wang China	19	76 0.5×	73 0.5×	98 0.9×	198 1.9×	53 0.5×	108	1.0k
Bowei Chen China	19	55 0.4×	98 0.7×	139 1.3×	130 1.2×	72 0.7×	73	1.3k
Yuan Liang China	10	81 0.6×	108 0.8×	46 0.4×	59 0.6×	77 0.8×	60	597
Tsung‐Yi Chen Taiwan	22	152 1.1×	155 1.2×	198 1.8×	380 3.6×	74 0.8×	113	1.7k
Yijin Chen China	11	46 0.3×	199 1.5×	107 1.0×	137 1.3×	175 1.8×	33	588
Takeshi Takenaka Japan	18	276 1.9×	53 0.4×	114 1.1×	49 0.5×	35 0.4×	87	1.2k
Zhigang Chen China	13	85 0.6×	254 1.9×	40 0.4×	59 0.6×	65 0.7×	53	644
Yanru Chen China	21	73 0.5×	200 1.5×	61 0.6×	325 3.0×	172 1.8×	117	1.2k
Yingying Ren China	17	31 0.2×	141 1.1×	87 0.8×	266 2.5×	60 0.6×	77	823

Countries citing papers authored by Kun Liang

Since Specialization

Citations

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

Fields of papers citing papers by Kun Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Liang

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

All Works

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20 of 20 papers shown

Liang, Kun, Wenzhe Duan, Dongmei Shi, et al.. (2024). Reactive astrocytes promote tumor progression by up-regulating tumor protocadherin 1 expression in lung cancer brain metastasis. Biochemical and Biophysical Research Communications. 732. 150431–150431.

Wang, Shuxin, Zongxuan Zhang, & Kun Liang. (2024). Classification of Potholed Roads Using Deep Convolutional Neural Network Model Based on AlexNet. 809–812.

Liang, Kun, et al.. (2024). Application of Imagery Modeling and Deep Learning in Chip Thermal Analysis. 161–165.

Xu, Mingxin, Jian Wang, Kun Liang, et al.. (2024). Brain Metastasis from EGFR‐Mutated Non‐Small Cell Lung Cancer: Secretion of IL11 from Astrocytes Up‐Regulates PDL1 and Promotes Immune Escape. Advanced Science. 11(26). e2306348–e2306348. 11 indexed citations

Liu, Dantong, Hao Wang, Kun Liang, et al.. (2024). Abiotic factors modulating metabolic pathways of lactic acid in solid-state fermentation of cereal vinegar. LWT. 214. 117092–117092. 2 indexed citations

Yu, Xin, Hao Wu, Jiali Su, et al.. (2024). Acetyl-CoA metabolism maintains histone acetylation for syncytialization of human placental trophoblast stem cells. Cell stem cell. 31(9). 1280–1297.e7. 24 indexed citations

Yang, Zhen, et al.. (2024). Circuit Object Detection and Standard Cell Recognition in IC Images Based on Semantic Segmentation Techniques. 2. 300–303.

Liang, Kun, et al.. (2023). An Actor-Critic Hierarchical Reinforcement Learning Model for Course Recommendation. Electronics. 12(24). 4939–4939. 2 indexed citations

Qu, Hui‐Ying, et al.. (2023). A Knowledge-Graph-Driven Method for Intelligent Decision Making on Power Communication Equipment Faults. Electronics. 12(18). 3939–3939. 3 indexed citations

10.

Peng, Boya, Yuqi Yang, Zhiyuan Wu, et al.. (2023). Red blood cell extracellular vesicles deliver therapeutic siRNAs to skeletal muscles for treatment of cancer cachexia. Molecular Therapy. 31(5). 1418–1436. 20 indexed citations

11.

Liang, Kun, et al.. (2022). MulOER-SAN: 2-layer multi-objective framework for exercise recommendation with self-attention networks. Knowledge-Based Systems. 260. 110117–110117. 16 indexed citations

12.

Liang, Kun, Wei Zhao, Heng Qian, Yanan Liu, & Zeng Zeng. (2022). Hand Movement Classification from Spatio-Temporal Sensory Data Based on Hybrid Random Forest Deep Learning. 1560–1567.

13.

Liang, Kun, et al.. (2020). Household Power Consumption Prediction Method Based on Selective Ensemble Learning. IEEE Access. 8. 95657–95666. 7 indexed citations

14.

Zhang, Yiying, et al.. (2017). Applications of edge computing in PIoT. 1–4. 16 indexed citations

15.

Zhang, Yiying, et al.. (2017). Research on the Color Temperature & White Balance for Multimedia Sensor. Procedia Computer Science. 107. 878–884. 6 indexed citations

16.

Yang, Yang, et al.. (2015). A retrospective study on post-operative hearing of middle ear cholesteatoma patients with labyrinthine fistula. Acta Oto-Laryngologica. 136(1). 8–11. 15 indexed citations

17.

Xu, Feng, Kun Liang, Khaled Shaban, et al.. (2012). Diverse Lightpath Protection against Correlated and Probabilistic Failures in Multi-Domain Optical Networks. Optical Fiber Communication Conference. OTh4B.5–OTh4B.5. 1 indexed citations

18.

Liang, Kun. (2010). The Designing and Application of WebQuest in Teaching.

19.

Shen, Mingxia, et al.. (2010). Beef marbling extraction based on modified fuzzy C-means clustering algorithm.. Transactions of the Chinese Society of Agricultural Machinery. 41(8). 184–188. 3 indexed citations

20.

Liu, Ping & Kun Liang. (2001). Review Functional materials of porous metals made by P/M, electroplating and some other techniques. Journal of Materials Science. 36(21). 5059–5072. 158 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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