Lingkai Kong

1.3k total citations
41 papers, 929 citations indexed

About

Lingkai Kong is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lingkai Kong has authored 41 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Lingkai Kong's work include Radio Frequency Integrated Circuit Design (14 papers), Microwave Engineering and Waveguides (7 papers) and Millimeter-Wave Propagation and Modeling (5 papers). Lingkai Kong is often cited by papers focused on Radio Frequency Integrated Circuit Design (14 papers), Microwave Engineering and Waveguides (7 papers) and Millimeter-Wave Propagation and Modeling (5 papers). Lingkai Kong collaborates with scholars based in United States, China and Australia. Lingkai Kong's co-authors include Ali M. Niknejad, Elad Alon, Jiashu Chen, Maryam Tabesh, Cristian Marcu, Ye Lü, Reza Zamani, Bagher Afshar, Chintan Thakkar and Simone Gambini and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Immunology and Industrial & Engineering Chemistry Research.

In The Last Decade

Lingkai Kong

37 papers receiving 895 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingkai Kong United States 14 741 82 65 64 55 41 929
Hongwu Peng United States 15 531 0.7× 34 0.4× 131 2.0× 27 0.4× 40 0.7× 48 734
Predrag Pejović Serbia 16 854 1.2× 34 0.4× 24 0.4× 24 0.4× 13 0.2× 91 965
Zhiliang Qiu China 16 373 0.5× 76 0.9× 26 0.4× 98 1.5× 46 0.8× 73 658
Mauro Leoncini Italy 14 335 0.5× 126 1.5× 35 0.5× 28 0.4× 24 0.4× 91 844
Chengjian Sun China 11 528 0.7× 65 0.8× 88 1.4× 89 1.4× 9 0.2× 23 736
Jaehong Park South Korea 14 315 0.4× 55 0.7× 32 0.5× 25 0.4× 111 2.0× 46 521
Hyun-Yong Lee South Korea 8 241 0.3× 26 0.3× 50 0.8× 50 0.8× 12 0.2× 52 337
Xiangli Zhang China 12 145 0.2× 61 0.7× 73 1.1× 62 1.0× 41 0.7× 66 471
Abdallah K. Cherri Kuwait 14 477 0.6× 79 1.0× 113 1.7× 16 0.3× 40 0.7× 67 727

Countries citing papers authored by Lingkai Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingkai Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingkai Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Lingkai Kong. A scholar is included among the top collaborators of Lingkai Kong 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 Lingkai Kong. Lingkai Kong 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
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Jiang, Yu, et al.. (2023). Case Studies of Information Technology Application in Education. 3 indexed citations
5.
Kong, Lingkai, et al.. (2023). Uncertainty Quantification in Deep Learning. 5809–5810. 3 indexed citations
6.
Zhuang, Yuchen, et al.. (2023). DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. 3674–3686. 6 indexed citations
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Kong, Lingkai, Zhe Li, Miao Chen, et al.. (2023). A Generalized Deep Learning Method for Synthetic CT Generation. International Journal of Radiation Oncology*Biology*Physics. 117(2). e472–e472. 1 indexed citations
9.
Kong, Lingkai, Ji Xu, Junwu Wang, & Wei Ge. (2023). Characterizing Particle Clustering Behavior in Dense Gas–Solid Suspensions. Industrial & Engineering Chemistry Research. 10 indexed citations
10.
Wang, Shiqun, Lu Li, Shuguang Zuo, et al.. (2022). Metabolic-related gene pairs signature analysis identifies ABCA1 expression levels on tumor-associated macrophages as a prognostic biomarker in primary IDHWT glioblastoma. Frontiers in Immunology. 13. 869061–869061. 5 indexed citations
11.
Hsu, Chin‐Wei, Lingkai Kong, Qi Zhou, et al.. (2021). Data Efficient Estimation for Quality of Transmission Through Active Learning in Fiber-Wireless Integrated Network. Journal of Lightwave Technology. 39(18). 5691–5698. 3 indexed citations
12.
Kong, Lingkai, et al.. (2021). Research on the conduction process of laser triggered vacuum switch. AIP Advances. 11(11). 2 indexed citations
13.
Kong, Lingkai, Ji Xu, Junwu Wang, & Wei Ge. (2021). Nonequilibrium characteristics and spatiotemporal long-range correlations in dense gas-solid suspensions. International Journal of Multiphase Flow. 142. 103731–103731. 10 indexed citations
14.
Kong, Lingkai, et al.. (2020). Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. 1326–1340. 28 indexed citations
15.
Kong, Lingkai & Molei Tao. (2020). Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. Neural Information Processing Systems. 33. 2625–2638.
16.
Wang, Yisen, Bo Dai, Lingkai Kong, et al.. (2018). Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. Uncertainty in Artificial Intelligence. 1. 83–92. 3 indexed citations
17.
Kong, Lingkai, et al.. (2016). CFD Simulations of Thermal Stratification Heat Storage Water Tank with an Inside Cylinder with Openings. Procedia Engineering. 146. 394–399. 38 indexed citations
18.
Puggelli, Alberto, Hanh‐Phuc Le, Kichul Jung, et al.. (2013). BAG: A designer-oriented integrated framework for the development of AMS circuit generators. 74–81. 56 indexed citations
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Puggelli, Alberto, Hanh‐Phuc Le, Kichul Jung, et al.. (2013). BAG: a designer-oriented integrated framework for the development of AMS circuit generators. International Conference on Computer Aided Design. 74–81. 24 indexed citations
20.
Wen, Junhai & Lingkai Kong. (2010). A wavelet‐based SPECT reconstruction algorithm for nonuniformly attenuated Radon transform. Medical Physics. 37(9). 4762–4767. 1 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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