Kehui Song

1.0k total citations
102 papers, 762 citations indexed

About

Kehui Song is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Kehui Song has authored 102 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 69 papers in Atomic and Molecular Physics, and Optics and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Kehui Song's work include Quantum Information and Cryptography (53 papers), Quantum and electron transport phenomena (27 papers) and Quantum Mechanics and Applications (26 papers). Kehui Song is often cited by papers focused on Quantum Information and Cryptography (53 papers), Quantum and electron transport phenomena (27 papers) and Quantum Mechanics and Applications (26 papers). Kehui Song collaborates with scholars based in China, France and United Arab Emirates. Kehui Song's co-authors include Shao-Hua Xiang, Xiongwen Chen, Guang‐Can Guo, Zheng-Wei Zhou, Yaping Zhao, Qiong Liu, Bin Shao, Xiaojie Yuan, Wei Wen and Guanghui Zhou and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Carbon.

In The Last Decade

Kehui Song

86 papers receiving 706 citations

Peers

Kehui Song
Leonard Wossnig United Kingdom
Edward Grant United Kingdom
Kunal Sharma United States
Salvatore Mandrà United States
Haidong Yuan Hong Kong
Leonard Wossnig United Kingdom
Kehui Song
Citations per year, relative to Kehui Song Kehui Song (= 1×) peers Leonard Wossnig

Countries citing papers authored by Kehui Song

Since Specialization
Citations

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

Fields of papers citing papers by Kehui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kehui Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kehui Song. A scholar is included among the top collaborators of Kehui Song 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 Kehui Song. Kehui Song 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.
Zhang, Ying, et al.. (2025). ZS-MNET: A zero-shot learning based approach to multimodal named entity typing. Neural Networks. 186. 107264–107264.
2.
Song, Kehui, Xianyi Zeng, Julien De Jonckheere, Ludovic Koehl, & Xiaojie Yuan. (2024). An intelligent garment for online fetal well-being monitoring. Expert Systems with Applications. 257. 124949–124949. 3 indexed citations
3.
Zhang, Ying, et al.. (2024). Multi-level feature interaction for open knowledge base canonicalization. Knowledge-Based Systems. 303. 112386–112386.
4.
Xu, Yuwei, et al.. (2024). GateKeeper: An UltraLite malicious traffic identification method with dual-aspect optimization strategies on IoT gateways. Computer Networks. 250. 110556–110556. 4 indexed citations
8.
Xu, Yuwei, et al.. (2023). FastTraffic: A lightweight method for encrypted traffic fast classification. Computer Networks. 235. 109965–109965. 23 indexed citations
9.
Zhang, Ying, et al.. (2023). BioFEG: Generate Latent Features for Biomedical Entity Linking. 11584–11593. 2 indexed citations
11.
Zhang, Ying, et al.. (2023). Selecting Key Views for Zero-Shot Entity Linking. 1303–1312.
12.
Cai, Xiangrui, et al.. (2022). Location Recommendation Based on Mobility Graph With Individual and Group Influences. IEEE Transactions on Intelligent Transportation Systems. 24(8). 8409–8420. 23 indexed citations
13.
Zhang, Ying, et al.. (2022). PM2F2N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction. 1985–1994. 8 indexed citations
14.
Chen, Shengping, et al.. (2014). Influence from Cavity Decay on Entanglement Evolution of Three Superconducting Charge Qubits Coupled to a Cavity. Chinese Journal of Electronics. 23(1). 157–162. 1 indexed citations
15.
Chen, Xiongwen, et al.. (2014). Anti-bias voltage electron-Kondo transport in a quantum dot device driven by a graphene sheet. Physics Letters A. 379(3). 187–191.
16.
Ding, Xiangling, et al.. (2013). Security improvement for asymmetric cryptosystem based on spherical wave illumination. Applied Optics. 52(3). 467–467. 30 indexed citations
17.
Chen, Xiongwen, Haiyan Wang, Haiqing Wan, Kehui Song, & Guanghui Zhou. (2011). Semiconducting states and transport in metallic armchair-edged graphene nanoribbons. Journal of Physics Condensed Matter. 23(31). 315304–315304. 13 indexed citations
18.
Chen, Xiongwen, Kehui Song, Benhu Zhou, Haiyan Wang, & Guanghui Zhou. (2011). Dependence of transport on adatom location for armchair-edge graphene nanoribbons. Applied Physics Letters. 98(9). 16 indexed citations
19.
Song, Kehui & Guo Guang-Can. (2000). 利用原子干涉方法实现三模腔场的类自旋GHZ态. Acta Physica Sinica. 49(2). 231–231. 2 indexed citations
20.
Song, Kehui & Guang‐Can Guo. (1999). Preparation of Entangled Atomic States via Atoms Interacting with the Cavity-Field in SU (1,1) Coherent State. Chinese Physics Letters. 16(3). 160–161. 4 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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