Gan Luo

447 total citations
9 papers, 300 citations indexed

About

Gan Luo is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications. According to data from OpenAlex, Gan Luo has authored 9 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Signal Processing and 3 papers in Computer Science Applications. Recurrent topics in Gan Luo's work include Online Learning and Analytics (3 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (2 papers). Gan Luo is often cited by papers focused on Online Learning and Analytics (3 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (2 papers). Gan Luo collaborates with scholars based in China, Canada and United Kingdom. Gan Luo's co-authors include Yuanjun Guo, Yusheng Xue, Kang Li, Zhou Wu, Zhile Yang, Ping Li, Panlong Yang, Hao Zhou, Wei Gong and Lei Hou and has published in prestigious journals such as IEEE Access, Applied Sciences and Structural Control and Health Monitoring.

In The Last Decade

Gan Luo

9 papers receiving 295 citations

Peers

Gan Luo

AI

EEE

IS

CSA

HI

Xiaomin Ouyang Hong Kong

Zhiyuan Xie Hong Kong

Pedro Figueiredo e Silva United Kingdom

S. Baghavathi Priya India

Aidan Boran Ireland

Teruaki Kitasuka Japan

Ke He China

Ruihui Mu China

Kazuya Sakai Japan

Xiaomin Ouyang Hong Kong

Gan Luo

277 ×2.5

AI

75 ×0.8

EEE

35 ×0.5

IS

45 ×0.8

CSA

9 ×0.2

HI

Citations per year, relative to Gan Luo Gan Luo (= 1×) peers Xiaomin Ouyang

Countries citing papers authored by Gan Luo

Since Specialization

Citations

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

Fields of papers citing papers by Gan Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gan Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Gan Luo. A scholar is included among the top collaborators of Gan Luo 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 Gan Luo. Gan Luo 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:

9 of 9 papers shown

1.

Luo, Gan, Xuhong Zhou, Yong Liao, et al.. (2025). Automated Residential Bubble Diagram Generation Based on Dual-Branch Graph Neural Network and Variational Encoding. Applied Sciences. 15(8). 4490–4490. 1 indexed citations

2.

Wu, Zhou, Gan Luo, Zhile Yang, et al.. (2022). A comprehensive review on deep learning approaches in wind forecasting applications. CAAI Transactions on Intelligence Technology. 7(2). 129–143. 100 indexed citations

3.

Yang, Kang, Youliang Ding, Huachen Jiang, Hanwei Zhao, & Gan Luo. (2022). A two‐stage data cleansing method for bridge global positioning system monitoring data based on bi‐direction long and short term memory anomaly identification and conditional generative adversarial networks data repair. Structural Control and Health Monitoring. 29(9). 18 indexed citations

4.

Yu, Jifan, Yuquan Wang, Gan Luo, et al.. (2021). MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. 4643–4652. 24 indexed citations

5.

Yu, Jifan, Gan Luo, Tong Xiao, et al.. (2020). MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. 3135–3142. 74 indexed citations

6.

Luo, Gan, et al.. (2020). HCI on the Table: Robust Gesture Recognition Using Acoustic Sensing in Your Hand. IEEE Access. 8. 31481–31498. 19 indexed citations

7.

Yu, Jifan, Chenyu Wang, Gan Luo, et al.. (2020). ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs. 770–780. 4 indexed citations

8.

Li, Ping, et al.. (2018). WordRecorder: Accurate Acoustic-based Handwriting Recognition Using Deep Learning. 1448–1456. 52 indexed citations

9.

Luo, Gan, et al.. (2017). SoundWrite II: Ambient Acoustic Sensing for Noise Tolerant Device-Free Gesture Recognition. 121–126. 8 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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