Jacob J. Lin

1.3k total citations · 1 hit paper
34 papers, 829 citations indexed

About

Jacob J. Lin is a scholar working on Building and Construction, Civil and Structural Engineering and Geology. According to data from OpenAlex, Jacob J. Lin has authored 34 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Building and Construction, 19 papers in Civil and Structural Engineering and 18 papers in Geology. Recurrent topics in Jacob J. Lin's work include BIM and Construction Integration (22 papers), Infrastructure Maintenance and Monitoring (19 papers) and 3D Surveying and Cultural Heritage (18 papers). Jacob J. Lin is often cited by papers focused on BIM and Construction Integration (22 papers), Infrastructure Maintenance and Monitoring (19 papers) and 3D Surveying and Cultural Heritage (18 papers). Jacob J. Lin collaborates with scholars based in Taiwan, United States and India. Jacob J. Lin's co-authors include Mani Golparvar‐Fard, Kevin Han, Youngjib Ham, Aritra Pal, Shang‐Hsien Hsieh, Albert Y. Chen, Ying-Chieh Chan, Marvin H. Cheng, Ci‐Jyun Liang and Bharadwaj R. K. Mantha and has published in prestigious journals such as Automation in Construction, Safety Science and Journal of Construction Engineering and Management.

In The Last Decade

Jacob J. Lin

30 papers receiving 800 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.

Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works

2016 365 citations Youngjib Ham, Jacob J. Lin et al. profile →

Peers

Jacob J. Lin

GEOLO

BC

CSE

AE

CVPR

Enrique Valero United Kingdom

Mojtaba Noghabaei United States

Khashayar Asadi United States

Samuel A. Prieto Spain

Mohammad Nahangi Canada

Alan M. Lytle United States

Ehsan Rezazadeh Azar Canada

Jingjing Guo China

Seongdeok Bang South Korea

Enrique Valero United Kingdom

Jacob J. Lin

407 ×1.1

GEOLO

266 ×0.9

BC

286 ×1.1

CSE

90 ×0.5

AE

101 ×0.8

CVPR

Citations per year, relative to Jacob J. Lin Jacob J. Lin (= 1×) peers Enrique Valero

Countries citing papers authored by Jacob J. Lin

Since Specialization

Citations

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

Fields of papers citing papers by Jacob J. Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob J. Lin. 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 Jacob J. Lin. The network helps show where Jacob J. Lin may publish in the future.

Co-authorship network of co-authors of Jacob J. Lin

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

20 of 20 papers shown

1.

Huang, Tsung‐Wei, Yi‐Hsiang Chen, Jacob J. Lin, & Chuin‐Shan Chen. (2025). Deep learning without human labeling for on-site rebar instance segmentation using synthetic BIM data and domain adaptation. Automation in Construction. 171. 105953–105953. 3 indexed citations

2.

Tsai, Chih-Chung, et al.. (2025). Multi-granular crew activity recognition for construction monitoring. Automation in Construction. 179. 106428–106428.

3.

Lin, Jacob J., et al.. (2025). AR-enhanced near-miss incident alert system for onsite moving equipment. Safety Science. 191. 106912–106912. 1 indexed citations

4.

Chen, Po‐Han, et al.. (2025). Automating Postearthquake Recovery in Construction: Leveraging BIM, Deep Learning, and Web Map Services for Efficient Solutions. Journal of Computing in Civil Engineering. 39(3). 1 indexed citations

5.

Pal, Aritra, et al.. (2025). Automatic mapping of schedule activities and reality models for tracking construction progress. Engineering Construction & Architectural Management. 33(3). 1932–1958.

6.

Le, Phu Dung, et al.. (2024). Construction safety inspection with contrastive language-image pre-training (CLIP) image captioning and attention. Automation in Construction. 169. 105863–105863. 11 indexed citations

7.

Chen, Po‐Han, et al.. (2024). Intelligent post-earthquake building recovery system: A framework combining BIM and deep learning. Journal of Building Engineering. 98. 111366–111366. 1 indexed citations

8.

Liang, Ci‐Jyun, et al.. (2024). Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry. Automation in Construction. 162. 105369–105369. 38 indexed citations

9.

Lin, Jacob J., et al.. (2024). Multi-User Mixed-Reality Collaboration Framework for Onsite MEP Coordination. 329–338. 1 indexed citations

10.

Lin, Pei‐Hsin, Aritra Pal, Jacob J. Lin, & Shang‐Hsien Hsieh. (2024). Individual Component Detection of a Scaffolding Assembly for Vision-Based Safety Check. 1 indexed citations

11.

Pal, Aritra, et al.. (2024). 4D BIM and Reality Model–Driven Camera Placement Optimization for Construction Monitoring. Journal of Construction Engineering and Management. 150(6). 8 indexed citations

12.

Chen, Po‐Han, et al.. (2023). Integrating Building Information Modeling, Deep Learning, and Web Map Service for Sustainable Post-Disaster Building Recovery Planning. Proceedings of the ... ISARC. 1 indexed citations

13.

Wang, Yanyu, Pingbo Tang, Kaijian Liu, et al.. (2023). Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies. Journal of Computing in Civil Engineering. 37(2). 14 indexed citations

14.

Pal, Aritra, Jacob J. Lin, Shang‐Hsien Hsieh, & Mani Golparvar‐Fard. (2023). Automated vision-based construction progress monitoring in built environment through digital twin. Developments in the Built Environment. 16. 100247–100247. 44 indexed citations

15.

Pal, Aritra, et al.. (2023). Prospects of Integrating BIM and NLP for Automatic Construction Schedule Management. Proceedings of the ... ISARC. 13 indexed citations

16.

Pal, Aritra, Jacob J. Lin, & Shang‐Hsien Hsieh. (2022). Automated Construction Progress Monitoring of Partially Completed Building Elements Leveraging Geometry Modeling and Appearance Detection with Deep Learning. Construction Research Congress 2022. 708–717. 5 indexed citations

17.

Lin, Jacob J., et al.. (2022). Reality Model-Based Facility Management Framework for Existing Building. Frontiers in Built Environment. 8. 4 indexed citations

18.

Lin, Jacob J., et al.. (2020). Bridge Inspection with Aerial Robots: Automating the Entire Pipeline of Visual Data Capture, 3D Mapping, Defect Detection, Analysis, and Reporting. Journal of Computing in Civil Engineering. 35(2). 81 indexed citations

19.

Lin, Jacob J. & Mani Golparvar‐Fard. (2017). Proactive Construction Project Controls via Predictive Visual Data Analytics. 147–154. 9 indexed citations

20.

Lin, Jacob J., et al.. (2013). Accessibility evaluation system for site layout planning – a tractor trailer example. 1(1). 21 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.

Explore authors with similar magnitude of impact