Jinrui Gan

635 total citations
10 papers, 499 citations indexed

About

Jinrui Gan is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jinrui Gan has authored 10 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in Jinrui Gan's work include Industrial Vision Systems and Defect Detection (4 papers), Infrastructure Maintenance and Monitoring (3 papers) and Optical measurement and interference techniques (2 papers). Jinrui Gan is often cited by papers focused on Industrial Vision Systems and Defect Detection (4 papers), Infrastructure Maintenance and Monitoring (3 papers) and Optical measurement and interference techniques (2 papers). Jinrui Gan collaborates with scholars based in China. Jinrui Gan's co-authors include Qingyong Li, Jianzhu Wang, Haomin Yu, Xi Yang, Yangli‐ao Geng, Zhiping Shi, Zhen Zhang, Weitao Lu, Zhen Zhang and Jun Yang and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Jinrui Gan

9 papers receiving 489 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jinrui Gan China	7	311	244	199	151	149	10	499
Linhao Shao China	7	264 0.8×	110 0.5×	88 0.4×	142 0.9×	59 0.4×	8	359
Jianwei Liu China	9	134 0.4×	159 0.7×	126 0.6×	88 0.6×	51 0.3×	21	321
Lushen Wu China	9	93 0.3×	29 0.1×	140 0.7×	128 0.8×	85 0.6×	20	399
Jinxuan Xu China	4	106 0.3×	217 0.9×	65 0.3×	93 0.6×	37 0.2×	6	366
Wenjun Wang China	13	69 0.2×	457 1.9×	167 0.8×	92 0.6×	12 0.1×	41	630
Yunpeng Ma China	10	61 0.2×	71 0.3×	107 0.5×	214 1.4×	18 0.1×	25	402
Yongzhi Min China	8	71 0.2×	112 0.5×	96 0.5×	46 0.3×	32 0.2×	35	269
Jia Sun China	8	83 0.3×	22 0.1×	37 0.2×	149 1.0×	86 0.6×	13	350
Linhui Dai China	6	272 0.9×	33 0.1×	25 0.1×	383 2.5×	41 0.3×	8	559
Francisco Bonnin‐Pascual Spain	12	95 0.3×	76 0.3×	75 0.4×	172 1.1×	14 0.1×	29	372

Countries citing papers authored by Jinrui Gan

Since Specialization

Citations

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

Fields of papers citing papers by Jinrui Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinrui Gan

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

All Works

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10 of 10 papers shown

Li, Qingyong, et al.. (2021). Visual inspection of rail defects: background, methodologies, and trends. Journal of Image and Graphics. 26(2). 287–296. 1 indexed citations

Wang, Jianzhu, Qingyong Li, Jinrui Gan, Haomin Yu, & Xi Yang. (2019). Surface Defect Detection via Entity Sparsity Pursuit With Intrinsic Priors. IEEE Transactions on Industrial Informatics. 16(1). 141–150. 105 indexed citations

Yu, Haomin, et al.. (2018). A Coarse-to-Fine Model for Rail Surface Defect Detection. IEEE Transactions on Instrumentation and Measurement. 68(3). 656–666. 133 indexed citations

Gan, Jinrui, Jianzhu Wang, Haomin Yu, Qingyong Li, & Zhiping Shi. (2018). Online Rail Surface Inspection Utilizing Spatial Consistency and Continuity. IEEE Transactions on Systems Man and Cybernetics Systems. 50(7). 2741–2751. 38 indexed citations

Li, Qingyong, Yangli‐ao Geng, Haomin Yu, et al.. (2018). A Survey of Fine-Grained Image Categorization. 533–538. 5 indexed citations

Gan, Jinrui, Qingyong Li, Jianzhu Wang, & Haomin Yu. (2017). A Hierarchical Extractor-Based Visual Rail Surface Inspection System. IEEE Sensors Journal. 17(23). 7935–7944. 175 indexed citations

Gan, Jinrui, Weitao Lu, Qingyong Li, et al.. (2017). Cloud Type Classification of Total-Sky Images Using Duplex Norm-Bounded Sparse Coding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(7). 3360–3372. 21 indexed citations

Wang, Jianzhu, Qingyong Li, Jinrui Gan, & Haomin Yu. (2017). Fabric defect detection based on improved low-rank and sparse matrix decomposition. 2776–2780. 7 indexed citations

Gan, Jinrui, Qingyong Li, Zhen Zhang, & Jianzhu Wang. (2016). Two-Level Feature Representation for Aerial Scene Classification. IEEE Geoscience and Remote Sensing Letters. 13(11). 1626–1630. 14 indexed citations

10.

Gan, Jinrui, et al.. (2013). Adaptive centroid optimization for Shack-Hartmann wavefront sensor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9045. 90451O–90451O.

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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