Gurmail Singh

1.2k total citations · 1 hit paper
35 papers, 779 citations indexed

About

Gurmail Singh is a scholar working on Mechanical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gurmail Singh has authored 35 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gurmail Singh's work include Advanced Neural Network Applications (7 papers), High-Temperature Coating Behaviors (6 papers) and Advanced Topics in Algebra (5 papers). Gurmail Singh is often cited by papers focused on Advanced Neural Network Applications (7 papers), High-Temperature Coating Behaviors (6 papers) and Advanced Topics in Algebra (5 papers). Gurmail Singh collaborates with scholars based in Canada, India and United States. Gurmail Singh's co-authors include Kin‐Choong Yow, Stéfano Frizzo Stefenon, G. S. Bhalla, Roberto Zanetti Freire, Anirban Bhattacharya, Ajay Batish, Vikas Chawla, Niraj Bala, Alessandro Cimatti and Yogesh Kumar Singla and has published in prestigious journals such as Scientific Reports, IEEE Access and Corrosion Science.

In The Last Decade

Gurmail Singh

30 papers receiving 715 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.

Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV

2023 118 citations Stéfano Frizzo Stefenon, Gurmail Singh et al. International Journal of Electrical Power & Energy Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gurmail Singh Canada	16	279	219	158	131	114	35	779
Ping Ren China	15	44 0.2×	186 0.8×	44 0.3×	52 0.4×	34 0.3×	86	724
Anton Zhilenkov Russia	22	148 0.5×	203 0.9×	74 0.5×	140 1.1×	91 0.8×	141	1.3k
Wenqiang Li China	15	197 0.7×	36 0.2×	15 0.1×	82 0.6×	13 0.1×	77	697
Stephen Ekwaro-Osire United States	18	487 1.7×	45 0.2×	23 0.1×	25 0.2×	100 0.9×	122	1.1k
Panagiotis Papageorgas Greece	17	90 0.3×	354 1.6×	70 0.4×	65 0.5×	89 0.8×	74	975
Vishal Jagota India	16	95 0.3×	123 0.6×	39 0.2×	70 0.5×	70 0.6×	39	624
Zhengyu Lin United Kingdom	28	335 1.2×	1.8k 8.3×	8 0.1×	90 0.7×	127 1.1×	97	2.2k
Feilong Wang China	13	117 0.4×	109 0.5×	27 0.2×	44 0.3×	25 0.2×	62	708
Hua Chen China	13	85 0.3×	169 0.8×	114 0.7×	55 0.4×	177 1.6×	66	687
Anshul Agarwal India	20	45 0.2×	919 4.2×	26 0.2×	114 0.9×	12 0.1×	119	1.2k

Countries citing papers authored by Gurmail Singh

Since Specialization

Citations

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

Fields of papers citing papers by Gurmail Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurmail Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Gurmail Singh. A scholar is included among the top collaborators of Gurmail Singh 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 Gurmail Singh. Gurmail Singh 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

Stefenon, Stéfano Frizzo, Laio Oriel Seman, Gurmail Singh, & Kin‐Choong Yow. (2025). Enhanced insulator fault detection using optimized ensemble of deep learning models based on weighted boxes fusion. International Journal of Electrical Power & Energy Systems. 168. 110682–110682. 7 indexed citations

Singh, Gurmail, Stéfano Frizzo Stefenon, & Kin‐Choong Yow. (2025). The shallowest transparent and interpretable deep neural network for image recognition. Scientific Reports. 15(1). 13940–13940.

Stefenon, Stéfano Frizzo, et al.. (2023). Optimized hybrid YOLOu‐Quasi‐ProtoPNet for insulators classification. IET Generation Transmission & Distribution. 17(15). 3501–3511. 34 indexed citations

Singh, Gurmail, Stéfano Frizzo Stefenon, & Kin‐Choong Yow. (2023). Interpretable visual transmission lines inspections using pseudo-prototypical part network. Machine Vision and Applications. 34(3). 46 indexed citations

Stefenon, Stéfano Frizzo, et al.. (2023). Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV. International Journal of Electrical Power & Energy Systems. 148. 108982–108982. 118 indexed citations breakdown →

Singh, Gurmail. (2023). One and one make eleven: An interpretable neural network for image recognition. Knowledge-Based Systems. 279. 110926–110926. 3 indexed citations

Stefenon, Stéfano Frizzo, et al.. (2023). Evaluation of visible contamination on power grid insulators using convolutional neural networks. Electrical Engineering. 105(6). 3881–3894. 29 indexed citations

Stefenon, Stéfano Frizzo, Gurmail Singh, Kin‐Choong Yow, & Alessandro Cimatti. (2022). Semi-ProtoPNet Deep Neural Network for the Classification of Defective Power Grid Distribution Structures. Sensors. 22(13). 4859–4859. 38 indexed citations

Singh, Gurmail. (2022). Think positive: An interpretable neural network for image recognition. Neural Networks. 151. 178–189. 17 indexed citations

10.

Singh, Gurmail & Kin‐Choong Yow. (2021). These do not Look Like Those: An Interpretable Deep Learning Model for Image Recognition. IEEE Access. 9. 41482–41493. 44 indexed citations

11.

Singh, Gurmail & Kin‐Choong Yow. (2021). An Interpretable Deep Learning Model for Covid-19 Detection With Chest X-Ray Images. IEEE Access. 9. 85198–85208. 45 indexed citations

12.

Singh, Gurmail & Kin‐Choong Yow. (2021). Object or Background: An Interpretable Deep Learning Model for COVID-19 Detection from CT-Scan Images. Diagnostics. 11(9). 1732–1732. 16 indexed citations

13.

Singh, Gurmail, Niraj Bala, & Vikas Chawla. (2020). Microstructural analysis and hot corrosion behavior of HVOF-sprayed Ni-22Cr-10Al-1Y and Ni-22Cr-10Al-1Y-SiC (N) coatings on ASTM-SA213-T22 steel. International Journal of Minerals Metallurgy and Materials. 27(3). 401–416. 17 indexed citations

14.

Singh, Gurmail, et al.. (2019). EXTENDING TABLE ALGEBRAS TO HOPF ALGEBRAS. 13–28. 1 indexed citations

15.

Singh, Gurpreet, Gurmail Singh, Kamaljit Singh, & Amit Singla. (2017). Experimental studies on material removal rate, tool wear rate and surface properties of machined surface by powder mixed electric discharge machining. Materials Today Proceedings. 4(2). 1065–1073. 8 indexed citations

16.

Singh, Gurmail, et al.. (2017). Orders of torsion units of integral reality-based algebras with rational multiplicities. Journal of Algebra and Its Applications. 17(1). 1850015–1850015.

17.

Singh, Gurmail, Niraj Bala, & Vikas Chawla. (2017). High Temperature Oxidation Behaviour of HVOF Thermally Sprayed NiCrAlY Coating on T-91 Boiler Tube Steel. Materials Today Proceedings. 4(4). 5259–5265. 14 indexed citations

18.

Singh, Gurmail, et al.. (2014). On the Torsion Units of Integral Adjacency Algebras of Finite Association Schemes. 2014. 1–5. 2 indexed citations

19.

Bhalla, G. S. & Gurmail Singh. (2009). Economic liberalisation and Indian agriculture: a statewise analysis.. Economic and political weekly. 44(52). 34–44. 77 indexed citations

20.

Singh, Gurmail, et al.. (2008). Rural development in Punjab : a success story going astray. Routledge eBooks. 8 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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