Tatsuro Yamane

867 total citations
16 papers, 606 citations indexed

About

Tatsuro Yamane is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Tatsuro Yamane has authored 16 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Civil and Structural Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Geology. Recurrent topics in Tatsuro Yamane's work include Infrastructure Maintenance and Monitoring (14 papers), Concrete Corrosion and Durability (6 papers) and Structural Health Monitoring Techniques (5 papers). Tatsuro Yamane is often cited by papers focused on Infrastructure Maintenance and Monitoring (14 papers), Concrete Corrosion and Durability (6 papers) and Structural Health Monitoring Techniques (5 papers). Tatsuro Yamane collaborates with scholars based in Japan and China. Tatsuro Yamane's co-authors include Pang‐jo Chun, Yu Maemura, Riki Honda, Ji Dang, Masanori Suganuma, Pang‐jo Chun, Takayuki Okatani, Keiji Nagatani, Hong-Hu Chu and Tatsuya Watanabe and has published in prestigious journals such as Sensors, Engineering Structures and Applied Sciences.

In The Last Decade

Tatsuro Yamane

14 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuro Yamane Japan 12 473 89 83 78 62 16 606
Pang‐jo Chun Japan 15 749 1.6× 152 1.7× 102 1.2× 113 1.4× 94 1.5× 47 922
Mohamad Alipour United States 13 487 1.0× 106 1.2× 89 1.1× 92 1.2× 75 1.2× 44 671
Sizeng Zhao China 8 402 0.8× 53 0.6× 57 0.7× 119 1.5× 39 0.6× 13 517
Hristina Georgieva Bulgaria 5 693 1.5× 151 1.7× 69 0.8× 125 1.6× 115 1.9× 10 807
Pang‐jo Chun Japan 12 253 0.5× 60 0.7× 29 0.3× 29 0.4× 27 0.4× 31 376
Zheng Zou China 10 286 0.6× 45 0.5× 74 0.9× 208 2.7× 55 0.9× 35 620

Countries citing papers authored by Tatsuro Yamane

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuro Yamane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuro Yamane

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

All Works

16 of 16 papers shown
1.
Yamane, Tatsuro, et al.. (2025). Automated dimension estimation of bridge components using semantic segmentation and geometric fitting of point cloud data. Engineering Structures. 342. 120837–120837. 2 indexed citations
2.
Chun, Pang‐jo, et al.. (2024). Implementation of explanatory texts output for bridge damage in a bridge inspection web system. Advances in Engineering Software. 195. 103706–103706. 11 indexed citations
3.
Yamane, Tatsuro, Pang‐jo Chun, Ji Dang, & Takayuki Okatani. (2024). Deep learning-based bridge damage cause estimation from multiple images using visual question answering. Structure and Infrastructure Engineering. 1–14. 10 indexed citations
4.
Yamane, Tatsuro, Pang‐jo Chun, Ji Dang, & Riki Honda. (2023). Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results. Computer-Aided Civil and Infrastructure Engineering. 38(17). 2391–2407. 40 indexed citations
5.
Yamane, Tatsuro, et al.. (2023). Improving visual question answering for bridge inspection by pre‐training with external data of image–text pairs. Computer-Aided Civil and Infrastructure Engineering. 39(3). 345–361. 26 indexed citations
6.
Yamane, Tatsuro, Pang‐jo Chun, & Riki Honda. (2022). Detecting and localising damage based on image recognition and structure from motion, and reflecting it in a 3D bridge model. Structure and Infrastructure Engineering. 20(4). 594–606. 22 indexed citations
7.
Yamane, Tatsuro, et al.. (2022). Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method. Sensors. 22(17). 6412–6412. 13 indexed citations
8.
Yamane, Tatsuro, Pang‐jo Chun, & Tatsuya Watanabe. (2021). AUTOMATIC GENERATION OF DAMAGE DESCRIPTIONS FROM BRIDGE IMAGES USING DEEP LEARNING. Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics). 77(2). I_40–I_50. 1 indexed citations
9.
Yamane, Tatsuro, Pang‐jo Chun, & Riki Honda. (2021). EXTRACTING TEXTUAL INFORMATION FROM BRIDGE INSPECTION RECORDS USING DEEP LEARNING. 2(1). 18–25.
10.
Chun, Pang‐jo, et al.. (2021). Automatic Detection of Cracks in Asphalt Pavement Using Deep Learning to Overcome Weaknesses in Images and GIS Visualization. Applied Sciences. 11(3). 892–892. 44 indexed citations
11.
Chun, Pang‐jo, Tatsuro Yamane, & Yu Maemura. (2021). A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage. Computer-Aided Civil and Infrastructure Engineering. 37(11). 1387–1401. 91 indexed citations
12.
Chun, Pang‐jo, et al.. (2020). Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections. Journal of Robotics and Mechatronics. 32(6). 1244–1258. 27 indexed citations
13.
14.
Yamane, Tatsuro & Pang‐jo Chun. (2020). Crack Detection from a Concrete Surface Image Based on Semantic Segmentation Using Deep Learning. Journal of Advanced Concrete Technology. 18(9). 493–504. 72 indexed citations
15.
Chun, Pang‐jo, et al.. (2020). Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine. Computer-Aided Civil and Infrastructure Engineering. 36(1). 61–72. 185 indexed citations
16.
Chun, Pang‐jo, et al.. (2019). Evaluation of Tensile Performance of Steel Members by Analysis of Corroded Steel Surface Using Deep Learning. Metals. 9(12). 1259–1259. 32 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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2026