Lingjun Gao

2.4k total citations · 2 hit papers
21 papers, 1.9k citations indexed

About

Lingjun Gao is a scholar working on Electrical and Electronic Engineering, Ocean Engineering and Signal Processing. According to data from OpenAlex, Lingjun Gao has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 8 papers in Ocean Engineering and 6 papers in Signal Processing. Recurrent topics in Lingjun Gao's work include Underwater Vehicles and Communication Systems (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Speech and Audio Processing (6 papers). Lingjun Gao is often cited by papers focused on Underwater Vehicles and Communication Systems (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Speech and Audio Processing (6 papers). Lingjun Gao collaborates with scholars based in United Kingdom, China and United States. Lingjun Gao's co-authors include Shiwen Mao, Xuyu Wang, Santosh Pandey, Yong Yan, Robert M. Carter, Xiangchen Qian, Yonghui Hu, Gang Lu, Ying Zhang and Xiaobin Huang and has published in prestigious journals such as IEEE Access, Fuel and IEEE Transactions on Vehicular Technology.

In The Last Decade

Lingjun Gao

20 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach

2016 830 citations Xuyu Wang, Lingjun Gao et al. IEEE Transactions on Vehicular Technology profile →
CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach

2016 326 citations Xuyu Wang, Lingjun Gao et al. IEEE Internet of Things Journal profile →

Peers

Lingjun Gao

EEE

CNC

Xiansheng Guo China

Baoqi Huang China

Kamol Kaemarungsi Thailand

Ronald Raulefs Germany

Santiago Mazuelas Spain

Zhenhui Tan China

Fabian Höflinger Germany

Joey Wilson United States

Zafer Şahinoğlu United States

Spyros Kyperountas United States

Xiansheng Guo China

Lingjun Gao

1.2k ×0.7

EEE

490 ×0.7

506 ×0.7

248 ×0.7

CNC

431 ×1.5

Citations per year, relative to Lingjun Gao Lingjun Gao (= 1×) peers Xiansheng Guo

Countries citing papers authored by Lingjun Gao

Since Specialization

Citations

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

Fields of papers citing papers by Lingjun Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingjun Gao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Libin, et al.. (2023). Power Equipment 3D Reconstruction Method for Distribution Network. 1019–1023.

Zhang, Ying & Lingjun Gao. (2019). Target Tracking with Underwater Sensor Networks Based on Grubbs Criterion and Improved Particle Filter Algorithm. 电子与信息学报. 41(10). 2294–2301. 4 indexed citations

Zhang, Ying & Lingjun Gao. (2019). Sensor-Networked Underwater Target Tracking Based on Grubbs Criterion and Improved Particle Filter Algorithm. IEEE Access. 7. 142894–142906. 15 indexed citations

Wang, Xuyu, Lingjun Gao, & Shiwen Mao. (2017). BiLoc: Bi-Modal Deep Learning for Indoor Localization With Commodity 5GHz WiFi. IEEE Access. 5. 4209–4220. 145 indexed citations

Wang, Xuyu, Lingjun Gao, & Shiwen Mao. (2016). CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach. IEEE Internet of Things Journal. 3(6). 1113–1123. 326 indexed citations breakdown →

Wang, Xuyu, Lingjun Gao, Shiwen Mao, & Santosh Pandey. (2016). CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach. IEEE Transactions on Vehicular Technology. 1–1. 830 indexed citations breakdown →

Wang, Xuyu, Lingjun Gao, & Shiwen Mao. (2015). PhaseFi: Phase Fingerprinting for Indoor Localization with a Deep Learning Approach. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 106 indexed citations

Wang, Xuyu, Lingjun Gao, Shiwen Mao, & Santosh Pandey. (2015). DeepFi: Deep learning for indoor fingerprinting using channel state information. 1666–1671. 262 indexed citations

Hu, Yonghui, Xiangchen Qian, Xiaobin Huang, Lingjun Gao, & Yong Yan. (2014). Online continuous measurement of the size distribution of pneumatically conveyed particles by acoustic emission methods. Flow Measurement and Instrumentation. 40. 163–168. 21 indexed citations

10.

Hu, Yonghui, Xiangchen Qian, Xiaobin Huang, Lingjun Gao, & Yong Yan. (2014). Online sizing of pneumatically conveyed particles by acoustic emission method. AIP conference proceedings. 277–282. 1 indexed citations

11.

Sun, Duo, Yong Yan, Robert M. Carter, et al.. (2014). On-Line Nonintrusive Detection of Wood Pellets in Pneumatic Conveying Pipelines Using Vibration and Acoustic Sensors. IEEE Transactions on Instrumentation and Measurement. 63(5). 993–1001. 23 indexed citations

12.

Hu, Yonghui, et al.. (2014). On-line Sizing of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Signal Analysis. IEEE Transactions on Instrumentation and Measurement. 64(5). 1100–1109. 31 indexed citations

13.

Hu, Yonghui, Xiaobin Huang, Xiangchen Qian, Lingjun Gao, & Yong Yan. (2014). Online particle size measurement through acoustic emission detection and signal analysis. Kent Academic Repository (University of Kent). 949–953. 19 indexed citations

14.

Wang, Xuyu, Lingjun Gao, & Shiwen Mao. (2014). PhaseFi: Phase Fingerprinting for Indoor Localization with a Deep Learning Approach. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 19 indexed citations

15.

Wei, Youzhen, et al.. (2013). A rat model for chronic spinal nerve root compression. European Spine Journal. 23(2). 435–446. 11 indexed citations

16.

Gao, Lingjun, Yong Yan, & Gang Lu. (2012). On-line measurement of particle size distribution using piezoelectric sensors. Kent Academic Repository (University of Kent). 13. 1154–1158. 5 indexed citations

17.

Gao, Lingjun, Yong Yan, Gang Lu, & Robert M. Carter. (2012). On-line measurement of particle size and shape distributions of pneumatically conveyed particles through multi-wavelength based digital imaging. Flow Measurement and Instrumentation. 27. 20–28. 25 indexed citations

18.

Gao, Lingjun, Yong Yan, & Gang Lu. (2011). Contour-based image segmentation for on-line size distribution measurement of pneumatically conveyed particles. Kent Academic Repository (University of Kent). 1. 1–5. 7 indexed citations

19.

Gao, Lingjun, Xinbo Gao, & Jimin Liang. (2010). Dayside Corona Aurora Detection Based on Sample Selection and AdaBoost Algorithm. Journal of Image and Graphics. 15(1). 116–116. 1 indexed citations

20.

Ohmura, Etsuji, et al.. (1986). Estimation of Interior Temperature Distribution of Work in Laser Materials Processing Using IR Camera (Report 1)(Welding Physics, Process & Instrument). Transactions of JWRI. 15(1). 7–11. 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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