Lingjun Gao

2.5k citations
20 papers · 1.9k · 3 hit papers · h-index 14

Impact in

Papers in

Lingjun Gao

19 papers receiving 1.9k citations

Lingjun Gao's Hit Papers

CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach 2016 · 339 citations
3390+3+7Years since publication250500750

Peers

Lingjun Gao
Comparison fields: 5 of 81
  • Signal Processing 771
  • Ocean Engineering 710
  • Electrical and Electronic Engineering 1.6k
  • Computer Networks and Communications 376
  • Aerospace Engineering 294
Replace Xiansheng Guo with:
Xiansheng Guo China
Baoqi Huang China
Kamol Kaemarungsi Thailand
Joey Wilson United States
Santiago Mazuelas Spain
Ronald Raulefs Germany
Zhenhui Tan China
Spyros Kyperountas United States
Pavel Davidson Finland
Chengdu Huang United States
Lingjun Gao relative to Xiansheng Guo China Xiansheng Guo's profile →
Citations per field
00.5×5.9×
Xiansheng Guo · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Lingjun Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lingjun Gao Line = papers co-authored together Lingjun Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach
Hit paper breakdown →
2016857
2
CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach
Hit paper breakdown →
2016339
3
DeepFi: Deep learning for indoor fingerprinting using channel state information
Hit paper breakdown →
2015282
4 2017149
5 2015109
6 201431
7 201229
8 201224
9 201423
10 201420
11 201420
12 201419
13 201916
14 201313
15 20117
16 20125
17 20194
18 19861
19 20141
20 20230

About Lingjun Gao

Lingjun Gao is a scholar working on Electrical and Electronic Engineering, Ocean Engineering, Signal Processing, Computational Mechanics and Mechanical Engineering, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Electrical and Bioimpedance Tomography (6 papers), Speech and Audio Processing (6 papers), Mineral Processing and Grinding (3 papers), Flow Measurement and Analysis (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers) and Granular flow and fluidized beds (3 papers). The work is most often cited by research in Signal Processing (771 citations), Ocean Engineering (710 citations), Electrical and Electronic Engineering (1.6k citations), Computer Networks and Communications (376 citations) and Aerospace Engineering (294 citations). Lingjun Gao has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Xuyu Wang, Shiwen Mao, Santosh Pandey, Yong Yan, Robert M. Carter, Yonghui Hu, Xiangchen Qian, Gang Lu, Ying Zhang and Xiaobin Huang. Their work appears in journals such as IEEE Access, IEEE Transactions on Instrumentation and Measurement, Flow Measurement and Instrumentation, IEEE Internet of Things Journal and Fuel.

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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