Jingjing Guo

1.2k total citations
33 papers, 909 citations indexed

About

Jingjing Guo is a scholar working on Civil and Structural Engineering, Geology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jingjing Guo has authored 33 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 9 papers in Geology and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jingjing Guo's work include Infrastructure Maintenance and Monitoring (21 papers), 3D Surveying and Cultural Heritage (9 papers) and Industrial Vision Systems and Defect Detection (8 papers). Jingjing Guo is often cited by papers focused on Infrastructure Maintenance and Monitoring (21 papers), 3D Surveying and Cultural Heritage (9 papers) and Industrial Vision Systems and Defect Detection (8 papers). Jingjing Guo collaborates with scholars based in China, Singapore and Hong Kong. Jingjing Guo's co-authors include Qian Wang, Yiting Li, Qian Wang, Qian Wang, Pengkun Liu, Lu Deng, Qian Wang, Minkoo Kim, Jae-Hyuk Park and Liang Yuan and has published in prestigious journals such as Remote Sensing, Automation in Construction and Engineering Applications of Artificial Intelligence.

In The Last Decade

Jingjing Guo

32 papers receiving 884 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingjing Guo China 19 531 339 210 142 126 33 909
Wenjie Liao China 20 710 1.3× 239 0.7× 442 2.1× 90 0.6× 100 0.8× 51 1.2k
Jacob J. Lin Taiwan 13 271 0.5× 355 1.0× 306 1.5× 125 0.9× 52 0.4× 34 829
Geraldine S. Cheok United States 16 658 1.2× 272 0.8× 521 2.5× 177 1.2× 82 0.7× 74 1.1k
Fernando Moreu United States 18 787 1.5× 269 0.8× 143 0.7× 67 0.5× 199 1.6× 89 1.1k
Yasutaka Narazaki United States 17 1.3k 2.4× 480 1.4× 93 0.4× 187 1.3× 233 1.8× 42 1.6k
Varun Kasireddy United States 7 724 1.4× 162 0.5× 87 0.4× 58 0.4× 145 1.2× 11 839
Srinath Shiv Kumar United States 8 400 0.8× 89 0.3× 217 1.0× 52 0.4× 89 0.7× 16 666
Juan G. Victores Spain 10 332 0.6× 127 0.4× 101 0.5× 40 0.3× 151 1.2× 48 727
Hristina Georgieva Bulgaria 5 693 1.3× 125 0.4× 73 0.3× 46 0.3× 151 1.2× 10 807
Alan M. Lytle United States 10 357 0.7× 812 2.4× 452 2.2× 483 3.4× 38 0.3× 31 1.1k

Countries citing papers authored by Jingjing Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Guo

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

All Works

20 of 20 papers shown
1.
Deng, Lu, et al.. (2025). Automated point positioning for robotic spot welding using integrated 2D drawings and structured light cameras. Automation in Construction. 171. 105989–105989. 1 indexed citations
2.
Deng, Lu, et al.. (2025). 3D keypoint detection-based automated rebar spacing inspection: Application for robotic integration. Advanced Engineering Informatics. 66. 103418–103418. 2 indexed citations
3.
Guo, Jingjing, et al.. (2024). Egocentric-video-based construction quality supervision (EgoConQS): Application of automatic key activity queries. Automation in Construction. 170. 105933–105933. 1 indexed citations
4.
5.
Gan, Vincent J.L., et al.. (2024). Unified weakly and semi-supervised crack segmentation framework using limited coarse labels. Engineering Applications of Artificial Intelligence. 133. 108497–108497. 8 indexed citations
6.
Chu, Hong-Hu, et al.. (2023). A transformer and self-cascade operation-based architecture for segmenting high-resolution bridge cracks. Automation in Construction. 158. 105194–105194. 20 indexed citations
7.
Deng, Lu, An Zhang, Jingjing Guo, & Yingkai Liu. (2023). An Integrated Method for Road Crack Segmentation and Surface Feature Quantification under Complex Backgrounds. Remote Sensing. 15(6). 1530–1530. 26 indexed citations
8.
9.
Guo, Jingjing, Pengkun Liu, Bo Xiao, Lu Deng, & Qian Wang. (2023). Surface defect detection of civil structures using images: Review from data perspective. Automation in Construction. 158. 105186–105186. 60 indexed citations
10.
Xiang, Chaoqun, Jingjing Guo, Ran Cao, & Lu Deng. (2023). A crack-segmentation algorithm fusing transformers and convolutional neural networks for complex detection scenarios. Automation in Construction. 152. 104894–104894. 80 indexed citations
11.
Lü, Na, et al.. (2022). Multiple Object Tracking Based on Tracking Compensation for Low-Resolution Scenarios. 380–384. 1 indexed citations
12.
Liu, Pengkun, Hung-Lin Chi, Xiao Li, & Jingjing Guo. (2021). Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks. Automation in Construction. 132. 103901–103901. 49 indexed citations
13.
Guo, Jingjing, Qian Wang, & Yiting Li. (2021). Evaluation-oriented façade defects detection using rule-based deep learning method. Automation in Construction. 131. 103910–103910. 29 indexed citations
14.
Guo, Jingjing, Liang Yuan, & Qian Wang. (2019). Time and cost analysis of geometric quality assessment of structural columns based on 3D terrestrial laser scanning. Automation in Construction. 110. 103014–103014. 27 indexed citations
15.
Wang, Qian, Jingjing Guo, & Minkoo Kim. (2019). An Application Oriented Scan-to-BIM Framework. Remote Sensing. 11(3). 365–365. 97 indexed citations
16.
Wang, Chengming, Zhenwen Sun, Zhigang Li, et al.. (2018). Detection of latent fingerprint hidden beneath adhesive tape by optical coherence tomography. Forensic Science International. 287. 81–87. 26 indexed citations
17.
Zhong, Ying, et al.. (2018). A new method for short-term traffic congestion forecasting based on LSTM. IOP Conference Series Materials Science and Engineering. 383. 12043–12043. 4 indexed citations
18.
Sun, Zhenwen, Hongcheng Mei, Wei Huang, et al.. (2016). Characterization of automotive paint by optical coherence tomography. Forensic Science International. 266. 239–244. 21 indexed citations
19.
Zhang, Ning, et al.. (2015). A preliminary study on the identification of vehicle paint chip based on optical coherence tomography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9815. 981527–981527. 1 indexed citations
20.
Huang, Wei, Zhichao Yang, Xiaojing Xu, & Jingjing Guo. (2012). Potential fingerprints detection using UV spectral imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8558. 855809–855809. 1 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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