Guo-xin Qi

708 total citations · 1 hit paper
7 papers, 531 citations indexed

About

Guo-xin Qi is a scholar working on Control and Systems Engineering, Ecology and Mechanics of Materials. According to data from OpenAlex, Guo-xin Qi has authored 7 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 2 papers in Ecology and 2 papers in Mechanics of Materials. Recurrent topics in Guo-xin Qi's work include Engineering Diagnostics and Reliability (2 papers), Gear and Bearing Dynamics Analysis (2 papers) and Machine Fault Diagnosis Techniques (2 papers). Guo-xin Qi is often cited by papers focused on Engineering Diagnostics and Reliability (2 papers), Gear and Bearing Dynamics Analysis (2 papers) and Machine Fault Diagnosis Techniques (2 papers). Guo-xin Qi collaborates with scholars based in China, Finland and Australia. Guo-xin Qi's co-authors include Yingbin Deng, Jinsong Deng, Kai Wang, Yifan Li, Qing Ni, Vladimir G. Chigrinov, Abhishek Kumar Srivastava, Biao Wang, Lei Wang and Fei Fan and has published in prestigious journals such as International Journal of Remote Sensing, Reliability Engineering & System Safety and IEEE Sensors Journal.

In The Last Decade

Guo-xin Qi

6 papers receiving 515 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.

PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data

2008 502 citations Jinsong Deng, Kai Wang et al. International Journal of Remote Sensing profile →

Peers

Guo-xin Qi

MT

AS

ECOLO

GPC

AI

Andrew Tewkesbury United Kingdom

Haobo Lyu China

Daniele Marinelli Italy

Jiage Chen China

Lingjia Gu China

Nathan Longbotham United States

Yady Tatiana Solano‐Correa Italy

Xiguang Yang China

Weihuan Deng China

Yepei Chen China

Andrew Tewkesbury United Kingdom

Guo-xin Qi

264 ×0.7

MT

204 ×0.7

AS

238 ×1.0

ECOLO

161 ×1.2

GPC

23 ×0.5

AI

Citations per year, relative to Guo-xin Qi Guo-xin Qi (= 1×) peers Andrew Tewkesbury

Countries citing papers authored by Guo-xin Qi

Since Specialization

Citations

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

Fields of papers citing papers by Guo-xin Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-xin Qi. 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 Guo-xin Qi. The network helps show where Guo-xin Qi may publish in the future.

Co-authorship network of co-authors of Guo-xin Qi

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

7 of 7 papers shown

1.

Li, Yifan, et al.. (2025). Adaptive frequency attention-based interpretable Transformer network for few-shot fault diagnosis of rolling bearings. Reliability Engineering & System Safety. 263. 111271–111271. 7 indexed citations

2.

Li, Xiaochen, et al.. (2025). Reinforcement Learning-Based Fuzz Testing for the Gazebo Robotic Simulator. Proceedings of the ACM on software engineering.. 2(ISSTA). 1467–1488.

3.

Qi, Guo-xin, et al.. (2024). An Adaptive Gaussian-Guided Feature Alignment Network for Cross-Condition and Cross-Machine Fault Diagnosis of Rolling Bearings. IEEE Sensors Journal. 24(24). 41647–41658. 5 indexed citations

4.

Qi, Guo-xin, et al.. (2014). Enhanced performance configuration for fast-switching deformed helix ferroelectric liquid crystal continuous tunable Lyot filter. Applied Optics. 53(17). 3787–3787. 8 indexed citations

5.

Wang, Lei, et al.. (2009). Reflectance features of water stressed Larix gmelinii needles. Forestry Studies in China. 11(1). 28–33. 6 indexed citations

6.

Yuan, Fei, Youqing Luo, Juan Shi, et al.. (2008). Invasive sequence and ecological niche of main insect borers of Larix gmelinii forest in Aershan, Inner Mongolia. Forestry Studies in China. 10(1). 9–13. 3 indexed citations

7.

Deng, Jinsong, Kai Wang, Yingbin Deng, & Guo-xin Qi. (2008). PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data. International Journal of Remote Sensing. 29(16). 4823–4838. 502 indexed citations breakdown →

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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