Waleed Umer

2.1k total citations · 1 hit paper
41 papers, 1.5k citations indexed

About

Waleed Umer is a scholar working on Radiological and Ultrasound Technology, Pharmacology and Social Psychology. According to data from OpenAlex, Waleed Umer has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiological and Ultrasound Technology, 16 papers in Pharmacology and 15 papers in Social Psychology. Recurrent topics in Waleed Umer's work include Occupational Health and Safety Research (30 papers), Musculoskeletal pain and rehabilitation (16 papers) and Ergonomics and Musculoskeletal Disorders (9 papers). Waleed Umer is often cited by papers focused on Occupational Health and Safety Research (30 papers), Musculoskeletal pain and rehabilitation (16 papers) and Ergonomics and Musculoskeletal Disorders (9 papers). Waleed Umer collaborates with scholars based in Hong Kong, United Kingdom and Saudi Arabia. Waleed Umer's co-authors include Heng Li, Maxwell Fordjour Antwi‐Afari, Arnold Yu Lok Wong, Shahnawaz Anwer, Yantao Yu, Grace Szeto, Xuejiao Xing, Jue Li, Hongwei Wang and Arshad Jamal and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Automation in Construction and Materials.

In The Last Decade

Waleed Umer

38 papers receiving 1.5k 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.

Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data

2023 63 citations Imran Mehmood, Heng Li et al. Advanced Engineering Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Waleed Umer Hong Kong	25	861	532	361	254	236	41	1.5k
Houtan Jebelli United States	27	1.4k 1.6×	858 1.6×	202 0.6×	416 1.6×	228 1.0×	116	2.9k
Majid Motamedzade Iran	21	282 0.3×	586 1.1×	404 1.1×	149 0.6×	204 0.9×	109	1.4k
Arnold Yu Lok Wong Hong Kong	31	737 0.9×	469 0.9×	1.6k 4.4×	367 1.4×	145 0.6×	158	3.2k
Diane Gyi United Kingdom	22	1.1k 1.2×	888 1.7×	397 1.1×	227 0.9×	59 0.3×	82	2.3k
Yantao Yu Hong Kong	26	1.2k 1.4×	407 0.8×	289 0.8×	208 0.8×	93 0.4×	58	2.7k
JoonOh Seo Hong Kong	27	1.2k 1.4×	592 1.1×	428 1.2×	296 1.2×	40 0.2×	87	2.4k
Byungjoo Choi South Korea	22	943 1.1×	469 0.9×	71 0.2×	186 0.7×	105 0.4×	58	1.9k
Fereydoun Aghazadeh United States	18	273 0.3×	395 0.7×	273 0.8×	190 0.7×	62 0.3×	62	1.0k
Rostam Golmohammadi Iran	19	234 0.3×	278 0.5×	99 0.3×	165 0.6×	126 0.5×	125	1.3k
Xuejiao Xing China	15	578 0.7×	331 0.6×	75 0.2×	74 0.3×	134 0.6×	24	1.2k

Countries citing papers authored by Waleed Umer

Since Specialization

Citations

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

Fields of papers citing papers by Waleed Umer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waleed Umer

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

All Works

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20 of 20 papers shown

Umer, Waleed, et al.. (2025). Deep learning-based fatigue monitoring of construction workers using physiological signals. Automation in Construction. 177. 106356–106356.

Alshibani, Adel, et al.. (2025). Assessing mental fatigue in mobile crane operators using non-invasive wearable sensor: A study on construction site. Advanced Engineering Informatics. 69. 103983–103983.

Li, Heng, et al.. (2025). A mobile receiver WiFi-CSI approach for fall detection of construction workers. Developments in the Built Environment. 23. 100745–100745.

Fang, Xin, Heng Li, Jie Ma, et al.. (2024). Assessment of Construction Workers’ Spontaneous Mental Fatigue Based on Non-Invasive and Multimodal In-Ear EEG Sensors. Buildings. 14(9). 2793–2793. 4 indexed citations

Li, Yanxue, Maxwell Fordjour Antwi‐Afari, Shahnawaz Anwer, et al.. (2024). Artificial Intelligence in Net-Zero Carbon Emissions for Sustainable Building Projects: A Systematic Literature and Science Mapping Review. Buildings. 14(9). 2752–2752. 13 indexed citations

Mehmood, Imran, Heng Li, Waleed Umer, et al.. (2024). Non-invasive detection of mental fatigue in construction equipment operators through geometric measurements of facial features. Journal of Safety Research. 89. 234–250. 11 indexed citations

Fang, Xin, et al.. (2024). Real-Time Monitoring of Mental Fatigue of Construction Workers Using Enhanced Sequential Learning and Timeliness. Automation in Construction. 159. 105267–105267. 17 indexed citations

Fang, Xin, Heng Li, Jie Ma, et al.. (2024). Online Assessment of Spontaneous Mental Fatigue in Construction Workers Considering Data Quality: Improved Online Sequential Extreme Learning Machine. Journal of Construction Engineering and Management. 150(11). 1 indexed citations

Li, Heng, et al.. (2024). Monitoring Mental Fatigue of Construction Equipment Operators: A Smart Cushion–Based Method with Deep Learning Algorithms. Journal of Management in Engineering. 40(5). 5 indexed citations

10.

Ma, Jie, et al.. (2024). Evaluation of sweat-based biomarkers using wearable biosensors for monitoring stress and fatigue: a systematic review. International Journal of Occupational Safety and Ergonomics. 30(3). 677–703. 6 indexed citations

11.

Mehmood, Imran, Heng Li, Waleed Umer, et al.. (2023). Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data. Advanced Engineering Informatics. 56. 101978–101978. 63 indexed citations breakdown →

12.

Mehmood, Imran, et al.. (2022). Validity of facial features’ geometric measurements for real-time assessment of mental fatigue in construction equipment operators. Advanced Engineering Informatics. 54. 101777–101777. 25 indexed citations

13.

Antwi‐Afari, Maxwell Fordjour, Shahnawaz Anwer, Waleed Umer, et al.. (2022). Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device. International Journal of Industrial Ergonomics. 93. 103404–103404. 44 indexed citations

14.

Ahmad, Farhan, Arshad Jamal, Khwaja Mateen Mazher, Waleed Umer, & Mudassir Iqbal. (2021). Performance Evaluation of Plastic Concrete Modified with E-Waste Plastic as a Partial Replacement of Coarse Aggregate. Materials. 15(1). 175–175. 62 indexed citations

15.

Anwer, Shahnawaz, Heng Li, Maxwell Fordjour Antwi‐Afari, et al.. (2021). Effects of load carrying techniques on gait parameters, dynamic balance, and physiological parameters during a manual material handling task. Engineering Construction & Architectural Management. 29(9). 3415–3438. 12 indexed citations

16.

Antwi‐Afari, Maxwell Fordjour, Heng Li, Waleed Umer, Yantao Yu, & Xuejiao Xing. (2020). Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System. Journal of Construction Engineering and Management. 146(7). 62 indexed citations

17.

Umer, Waleed & Mohsin Siddiqui. (2020). Use of Ultra Wide Band Real-Time Location System on Construction Jobsites: Feasibility Study and Deployment Alternatives. International Journal of Environmental Research and Public Health. 17(7). 2219–2219. 9 indexed citations

18.

Yu, Yantao, Heng Li, Waleed Umer, et al.. (2019). Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles. Journal of Computing in Civil Engineering. 33(3). 50 indexed citations

19.

Umer, Waleed, Maxwell Fordjour Antwi‐Afari, Heng Li, Grace Szeto, & Arnold Yu Lok Wong. (2017). The prevalence of musculoskeletal symptoms in the construction industry: a systematic review and meta-analysis. International Archives of Occupational and Environmental Health. 91(2). 125–144. 101 indexed citations

20.

Umer, Waleed, Heng Li, Grace Szeto, & Arnold Yu Lok Wong. (2017). Low-Cost Ergonomic Intervention for Mitigating Physical and Subjective Discomfort during Manual Rebar Tying. Journal of Construction Engineering and Management. 143(10). 44 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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