Jingkun Gao

2.1k total citations
35 papers, 1.5k citations indexed

About

Jingkun Gao is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jingkun Gao has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aerospace Engineering, 15 papers in Electrical and Electronic Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jingkun Gao's work include Advanced SAR Imaging Techniques (14 papers), Terahertz technology and applications (9 papers) and Microwave Imaging and Scattering Analysis (8 papers). Jingkun Gao is often cited by papers focused on Advanced SAR Imaging Techniques (14 papers), Terahertz technology and applications (9 papers) and Microwave Imaging and Scattering Analysis (8 papers). Jingkun Gao collaborates with scholars based in China, United States and Denmark. Jingkun Gao's co-authors include Mario Bergés, Yuliang Qin, Bin Deng, Hongqiang Wang, Emre Can Kara, Suman Giri, Xiang Li, Joern Ploennigs, Xiang Li and Qingsong Wen and has published in prestigious journals such as Applied Energy, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Jingkun Gao

35 papers receiving 1.4k citations

Peers

Jingkun Gao

EEE

Jun Sun China

Yoan Shin South Korea

Idris Ismail Malaysia

Ramsey Faragher United Kingdom

Lawrence A. Klein United States

Hao Yu China

Jinkuan Wang China

Baoqi Huang China

Xiaojun Wang China

Jun Sun China

Jingkun Gao

525 ×0.8

EEE

218 ×0.6

88 ×0.3

129 ×0.4

117 ×0.5

Citations per year, relative to Jingkun Gao Jingkun Gao (= 1×) peers Jun Sun

Countries citing papers authored by Jingkun Gao

Since Specialization

Citations

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

Fields of papers citing papers by Jingkun Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingkun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jingkun Gao. A scholar is included among the top collaborators of Jingkun Gao 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 Jingkun Gao. Jingkun Gao 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

Zhou, Chenhao, et al.. (2023). A policy-based Monte Carlo tree search method for container pre-marshalling. International Journal of Production Research. 62(13). 4776–4792. 1 indexed citations

Baets, Leen De, Jingkun Gao, Suman Giri, et al.. (2020). A voltage and current measurement dataset for plug load appliance identification in households. Scientific Data. 7(1). 49–49. 73 indexed citations

Qin, Dan, et al.. (2019). ISAR Resolution Enhancement Using Residual Network. 788–792. 13 indexed citations

Wen, Qingsong, Jingkun Gao, Xiaomin Song, et al.. (2019). RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5409–5416. 153 indexed citations

Gao, Jingkun, et al.. (2019). Fast Super-resolution 3D SAR Imaging Using an Unfolded Deep Network. 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). 1–5. 10 indexed citations

Gao, Jingkun & Mario Bergés. (2018). A large-scale evaluation of automated metadata inference approaches on sensors from air handling units. Advanced Engineering Informatics. 37. 14–30. 18 indexed citations

Balaji, Bharathan, Arka Bhattacharya, Gabe Fierro, et al.. (2018). Brick : Metadata schema for portable smart building applications. Applied Energy. 226. 1273–1292. 164 indexed citations

Gao, Jingkun. (2018). A Metadata Inference Framework to Provide Operational Information Support for Fault Detection and Diagnosis Applications in Secondary HVAC Systems. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations

Gao, Jingkun, Bin Deng, Yuliang Qin, Hongqiang Wang, & Xiang Li. (2018). An Efficient Algorithm for MIMO Cylindrical Millimeter-Wave Holographic 3-D Imaging. IEEE Transactions on Microwave Theory and Techniques. 1–10. 51 indexed citations

10.

Gao, Jingkun, Bin Deng, Yuliang Qin, Hongqiang Wang, & Xiang Li. (2017). Complex-valued Convolutional Neural Network Enhanced Radar Imaging. arXiv (Cornell University). 2 indexed citations

11.

Cheng, Binbin, et al.. (2017). Standoff 3-D imaging with 4Tx-16Rx MIMO-Based radar at 340 GHz. 9078. 1–2. 1 indexed citations

12.

Baets, Leen De, Chris Develder, Tom Dhaene, et al.. (2017). Handling imbalance in an extended PLAID. Ghent University Academic Bibliography (Ghent University). 1–5. 30 indexed citations

13.

Gao, Jingkun, Yuliang Qin, Bin Deng, Hongqiang Wang, & Xiang Li. (2017). A Novel Method for 3-D Millimeter-Wave Holographic Reconstruction Based on Frequency Interferometry Techniques. IEEE Transactions on Microwave Theory and Techniques. 66(3). 1579–1596. 55 indexed citations

14.

Deng, Bin, et al.. (2017). Near-Field Three-Dimensional Planar Millimeter-Wave Holographic Imaging by Using Frequency Scaling Algorithm. Sensors. 17(10). 2438–2438. 9 indexed citations

15.

Balaji, Bharathan, Arka Bhattacharya, Gabe Fierro, et al.. (2016). Brick. University of Southern Denmark Research Portal (University of Southern Denmark). 41–50. 160 indexed citations

16.

Balaji, Bharathan, Arka Bhattacharya, Gabe Fierro, et al.. (2016). Portable Queries Using the Brick Schema for Building Applications. University of Southern Denmark Research Portal (University of Southern Denmark). 219–220. 1 indexed citations

17.

Gao, Jingkun, Emre Can Kara, Suman Giri, & Mario Bergés. (2015). A feasibility study of automated plug-load identification from high-frequency measurements. 220–224. 92 indexed citations

18.

Gao, Jingkun, Suman Giri, Emre Can Kara, & Mario Bergés. (2014). PLAID: a public dataset of high-resoultion electrical appliance measurements for load identification research. 198–199. 164 indexed citations

19.

Gao, Jingkun, et al.. (2014). Range-azimuth SAR imaging based on Bayesian Compressive Sensing. 47. 2092–2097. 2 indexed citations

20.

Lazik, Patrick, et al.. (2014). Mortar.io: a concrete building automation system. 204–205. 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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