Kyle Dunphy

660 total citations · 1 hit paper
9 papers, 488 citations indexed

About

Kyle Dunphy is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Kyle Dunphy has authored 9 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 4 papers in Mechanical Engineering and 3 papers in Ocean Engineering. Recurrent topics in Kyle Dunphy's work include Infrastructure Maintenance and Monitoring (5 papers), Structural Health Monitoring Techniques (4 papers) and Geophysical Methods and Applications (3 papers). Kyle Dunphy is often cited by papers focused on Infrastructure Maintenance and Monitoring (5 papers), Structural Health Monitoring Techniques (4 papers) and Geophysical Methods and Applications (3 papers). Kyle Dunphy collaborates with scholars based in Canada. Kyle Dunphy's co-authors include Ayan Sadhu, Sandeep Sony, Miriam A. M. Capretz, Jinfei Wang, Katarina Grolinger and Mohammad Navid Fekri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Sensors.

In The Last Decade

Kyle Dunphy

9 papers receiving 470 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.

A systematic review of convolutional neural network-based structural condition assessment techniques

2020 287 citations Sandeep Sony, Kyle Dunphy et al. Engineering Structures profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Dunphy Canada	7	353	82	81	62	60	9	488
Tatsuro Yamane Japan	12	473 1.3×	89 1.1×	78 1.0×	62 1.0×	28 0.5×	16	606
Mohamad Alipour United States	13	487 1.4×	106 1.3×	92 1.1×	75 1.2×	39 0.7×	44	671
Futao Ni China	7	513 1.5×	157 1.9×	55 0.7×	45 0.7×	48 0.8×	9	654
Sumathi Poobal India	6	552 1.6×	151 1.8×	67 0.8×	66 1.1×	43 0.7×	11	735
Sizeng Zhao China	8	402 1.1×	53 0.6×	119 1.5×	39 0.6×	26 0.4×	13	517
Pang‐jo Chun Japan	12	253 0.7×	60 0.7×	29 0.4×	27 0.4×	49 0.8×	31	376
Hooman Parvardeh United States	6	456 1.3×	145 1.8×	72 0.9×	107 1.7×	29 0.5×	12	551
Shang Jiang China	10	461 1.3×	109 1.3×	137 1.7×	50 0.8×	26 0.4×	19	565
Francesco Potenza Italy	17	621 1.8×	79 1.0×	55 0.7×	34 0.5×	53 0.9×	44	731
Elton J. Chen China	10	255 0.7×	67 0.8×	23 0.3×	67 1.1×	56 0.9×	23	434

Countries citing papers authored by Kyle Dunphy

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Dunphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Dunphy

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

9 of 9 papers shown

1.

Dunphy, Kyle, et al.. (2025). Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification. Journal of Computing in Civil Engineering. 39(3). 2 indexed citations

2.

Sadhu, Ayan, et al.. (2023). Evaluation of tensile properties of early-age concrete-block masonry assemblages. Construction and Building Materials. 369. 130542–130542. 4 indexed citations

3.

Dunphy, Kyle, et al.. (2022). LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems. Sensors. 22(12). 4610–4610. 99 indexed citations

4.

Dunphy, Kyle, Ayan Sadhu, & Jinfei Wang. (2022). Multiclass damage detection in concrete structures using a transfer learning‐based generative adversarial networks. Structural Control and Health Monitoring. 29(11). 34 indexed citations

5.

Dunphy, Kyle, et al.. (2022). Acoustic emission-based damage localization using wavelet-assisted deep learning. SHILAP Revista de lepidopterología. 3(1). 22 indexed citations

6.

Dunphy, Kyle, Mohammad Navid Fekri, Katarina Grolinger, & Ayan Sadhu. (2022). Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information. Sensors. 22(16). 6193–6193. 28 indexed citations

7.

Dunphy, Kyle, et al.. (2021). Experimental and numerical investigation of tensile properties of early-age masonry. Materials and Structures. 54(1). 6 indexed citations

8.

Sony, Sandeep, Kyle Dunphy, Ayan Sadhu, & Miriam A. M. Capretz. (2020). A systematic review of convolutional neural network-based structural condition assessment techniques. Engineering Structures. 226. 111347–111347. 287 indexed citations breakdown →

9.

Sadhu, Ayan, et al.. (2019). Investigation of vibration data-based human load monitoring system. Structural Health Monitoring. 20(3). 791–803. 6 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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