Lin Gao

474 total citations
14 papers, 380 citations indexed

About

Lin Gao is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Environmental Engineering. According to data from OpenAlex, Lin Gao has authored 14 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 3 papers in Computer Networks and Communications and 3 papers in Environmental Engineering. Recurrent topics in Lin Gao's work include Complex Network Analysis Techniques (5 papers), Remote Sensing and LiDAR Applications (3 papers) and Opinion Dynamics and Social Influence (3 papers). Lin Gao is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Remote Sensing and LiDAR Applications (3 papers) and Opinion Dynamics and Social Influence (3 papers). Lin Gao collaborates with scholars based in China, Hong Kong and United States. Lin Gao's co-authors include Song Wei-dong, Yang Chen, Di Jia, Hong Zhu, Bo Wang, Yiping Dai, Shaolin Ma, Maoqing Li, Jiangfeng Wang and Weifeng He and has published in prestigious journals such as IEEE Access, Renewable Energy and International Journal of Pharmaceutics.

In The Last Decade

Lin Gao

13 papers receiving 370 citations

Peers

Lin Gao

ME

CSE

OE

EE

SNP

Ebrahim Ebrahimi Iran

Zichen Liu China

Alistair Greig United Kingdom

Mohammad Sadegh Eshaghi Iran

Zhuo Zhang China

Xiujuan Li China

Wenzheng Liu China

Clement Kweku Arthur Ghana

Rony Kalfarisi United States

Ebrahim Ebrahimi Iran

Lin Gao

135 ×1.1

ME

129 ×1.2

CSE

60 ×0.6

OE

22 ×0.2

EE

8 ×0.1

SNP

Citations per year, relative to Lin Gao Lin Gao (= 1×) peers Ebrahim Ebrahimi

Countries citing papers authored by Lin Gao

Since Specialization

Citations

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

Fields of papers citing papers by Lin Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Gao. A scholar is included among the top collaborators of Lin 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 Lin Gao. Lin 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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14 of 14 papers shown

1.

Yang, Yu, et al.. (2023). Multi-objective Defect Detection of Substation Equipment Based on SA-YOLOv7 Algorithm. 61–66.

2.

Gao, Lin, et al.. (2022). Research on Safety Helmet Detection Algorithm of Power Workers Based on Improved YOLOv5. Journal of Physics Conference Series. 2171(1). 12006–12006. 15 indexed citations

3.

Wei-dong, Song, et al.. (2020). Regional Patch Detection of Road Traffic Network. Journal of Sensors. 2020. 1–6. 1 indexed citations

4.

Gao, Lin, et al.. (2020). Design of a biohybrid robot by mimicking the gait mechanism of Aplysia californica. Procedia CIRP. 89. 154–158. 1 indexed citations

5.

Wei-dong, Song, et al.. (2020). Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features. Journal of Advanced Transportation. 2020. 1–11. 103 indexed citations

6.

Wei-dong, Song, et al.. (2019). Topological Characteristics and Vulnerability Analysis of Rural Traffic Network. Journal of Sensors. 2019. 1–9. 7 indexed citations

7.

Gao, Lin, et al.. (2019). Multiscale Residual Convolution Neural Network and Sector Descriptor-Based Road Detection Method. IEEE Access. 7. 173377–173392. 12 indexed citations

8.

Gao, Lin, et al.. (2019). Road Extraction from High-Resolution Remote Sensing Imagery Using Refined Deep Residual Convolutional Neural Network. Remote Sensing. 11(5). 552–552. 99 indexed citations

9.

Li, Maoqing, Jiangfeng Wang, Weifeng He, et al.. (2013). Construction and preliminary test of a low-temperature regenerative Organic Rankine Cycle (ORC) using R123. Renewable Energy. 57. 216–222. 107 indexed citations

10.

Gao, Lin, et al.. (2013). An Edge-based Clustering Algorithm to Detect Social Circles in Ego Networks. Journal of Computers. 8(10). 14 indexed citations

11.

Ma, Xiaoke & Lin Gao. (2011). Non-traditional spectral clustering algorithms for the detection of community structure in complex networks: a comparative analysis. Journal of Statistical Mechanics Theory and Experiment. 2011(5). P05012–P05012. 10 indexed citations

12.

Gao, Lin, et al.. (2009). Extraction of information of standing tree images based on region growth and edge detection.. Keji daobao. 44–47. 1 indexed citations

13.

Gao, Lin, et al.. (2008). Discovering the Dynamics in a Social Memory Network. 200–203. 1 indexed citations

14.

Gao, Lin, et al.. (2007). Evaluation of poly(styrene-alt-maleic anhydride)–ethanol as enteric coating material. International Journal of Pharmaceutics. 352(1-2). 66–73. 9 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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