Armstrong Aboah

526 total citations · 1 hit paper
29 papers, 234 citations indexed

About

Armstrong Aboah is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Armstrong Aboah has authored 29 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Civil and Structural Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Armstrong Aboah's work include Infrastructure Maintenance and Monitoring (9 papers), Advanced Neural Network Applications (7 papers) and Asphalt Pavement Performance Evaluation (4 papers). Armstrong Aboah is often cited by papers focused on Infrastructure Maintenance and Monitoring (9 papers), Advanced Neural Network Applications (7 papers) and Asphalt Pavement Performance Evaluation (4 papers). Armstrong Aboah collaborates with scholars based in United States, South Korea and Philippines. Armstrong Aboah's co-authors include Yaw Adu‐Gyamfi, Ulaş Bağcı, Bin Wang, Ye Duan, Alex Morehead, Dai Quoc Tran, Mohamed Abdel‐Aty, Mark Amo-Boateng, Senem Velipasalar and Anuj Sharma and has published in prestigious journals such as Construction and Building Materials, Expert Systems with Applications and IEEE Access.

In The Last Decade

Armstrong Aboah

22 papers receiving 225 citations

Hit Papers

Real-time Multi-Class Helmet Violation Detection Using Fe... 2023 2026 2024 2025 2023 40 80 120
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.

  1. Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8
    2023 121 citations Armstrong Aboah, Bin Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Armstrong Aboah United States 8 98 37 33 25 24 29 234
Huailin Zhao China 8 169 1.7× 12 0.3× 61 1.8× 32 1.3× 44 1.8× 34 315
Qichang Hu Australia 5 255 2.6× 14 0.4× 58 1.8× 17 0.7× 18 0.8× 6 294
Dıpu Sarkar India 10 25 0.3× 63 1.7× 49 1.5× 18 0.7× 29 1.2× 36 351
Youguo He China 10 84 0.9× 15 0.4× 25 0.8× 9 0.4× 19 0.8× 44 280
Manwen Liao Hong Kong 3 157 1.6× 15 0.4× 34 1.0× 20 0.8× 5 0.2× 5 238
Taixiong Zheng China 11 78 0.8× 14 0.4× 19 0.6× 27 1.1× 12 0.5× 37 280
Inácio Fonseca Portugal 9 48 0.5× 12 0.3× 16 0.5× 30 1.2× 29 1.2× 35 265
Xianzhi Du United States 6 215 2.2× 18 0.5× 54 1.6× 5 0.2× 20 0.8× 15 306

Countries citing papers authored by Armstrong Aboah

Since Specialization
Citations

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

Fields of papers citing papers by Armstrong Aboah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armstrong Aboah

This figure shows the co-authorship network connecting the top 25 collaborators of Armstrong Aboah. A scholar is included among the top collaborators of Armstrong Aboah 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 Armstrong Aboah. Armstrong Aboah 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.
2.
Tolliver, Denver, et al.. (2026). PaveCap: A Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation. Journal of Transportation Engineering Part B Pavements. 152(2).
3.
Tran, Dai Quoc, Armstrong Aboah, Martin Do, et al.. (2025). Visual Question Answering-based Referring Expression Segmentation for construction safety analysis. Automation in Construction. 174. 106127–106127. 1 indexed citations
4.
Aboah, Armstrong, et al.. (2025). An improved ResNet50 model for predicting pavement condition index (PCI) directly from pavement images. Road Materials and Pavement Design. 27(3). 682–699. 1 indexed citations
5.
Adu‐Gyamfi, Yaw, et al.. (2025). Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis. 5384–5392. 1 indexed citations
6.
Adu‐Gyamfi, Yaw, et al.. (2025). Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning. 5339–5347. 2 indexed citations
7.
Adu‐Gyamfi, Yaw, et al.. (2025). A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance. 5314–5321. 2 indexed citations
8.
Aboah, Armstrong, et al.. (2025). Context-CrackNet: A context-aware framework for precise segmentation of tiny cracks in pavement images. Construction and Building Materials. 484. 141583–141583. 4 indexed citations
9.
Aboah, Armstrong, et al.. (2025). SAAM-ReflectNet: Sign-aware attention-based multitasking framework for integrated traffic sign detection and retroreflectivity estimation. Expert Systems with Applications. 286. 128003–128003. 1 indexed citations
10.
11.
Aboah, Armstrong, et al.. (2025). Three-Dimensional Object Detection and High-Resolution Traffic Parameter Extraction Using Low-Resolution LiDAR Data. Journal of Transportation Engineering Part A Systems. 151(3). 2 indexed citations
12.
Tran, Dai Quoc, et al.. (2024). Leveraging Semisupervised Learning for Domain Adaptation: Enhancing Safety at Construction Sites through Long-Tailed Object Detection. Journal of Construction Engineering and Management. 151(1). 6 indexed citations
13.
Aboah, Armstrong, et al.. (2024). DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding. IEEE Access. 12. 60628–60640.
14.
Adu‐Gyamfi, Yaw, et al.. (2024). PaveSAM – segment anything for pavement distress. Road Materials and Pavement Design. 26(3). 593–617. 6 indexed citations
15.
Arthur, Elizabeth, et al.. (2024). A Novel FHWA-Compliant Dataset for Granular Vehicle Detection and Classification. IEEE Access. 12. 158505–158518.
16.
Tran, Dai Quoc, et al.. (2024). Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets. 7056–7065. 11 indexed citations
17.
Aboah, Armstrong, et al.. (2024). Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN. IEEE Access. 12. 193882–193901.
18.
Wang, Dongdong, et al.. (2024). Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis. 7125–7133. 8 indexed citations
19.
Aboah, Armstrong, Bin Wang, Ulaş Bağcı, & Yaw Adu‐Gyamfi. (2023). Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. 5350–5358. 121 indexed citations breakdown →
20.
Aboah, Armstrong, et al.. (2020). Deep Learning Framework for Predicting Bus Delays on Multiple Routes Using Heterogenous Datasets. 2(3). 275–290. 11 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

Breakdown of academic impact, for papers by Huailin Zhao Breakdown of academic impact, for papers by Qichang Hu Breakdown of academic impact, for papers by Dıpu Sarkar Breakdown of academic impact, for papers by Youguo He Breakdown of academic impact, for papers by Manwen Liao Breakdown of academic impact, for papers by Taixiong Zheng Breakdown of academic impact, for papers by Inácio Fonseca Breakdown of academic impact, for papers by Xianzhi Du
Rankless by CCL
2026