Muhammad Saqlain

796 total citations
13 papers, 480 citations indexed

About

Muhammad Saqlain is a scholar working on Industrial and Manufacturing Engineering, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Saqlain has authored 13 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Industrial and Manufacturing Engineering, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Saqlain's work include Human Pose and Action Recognition (3 papers), Industrial Vision Systems and Defect Detection (3 papers) and Artificial Intelligence in Healthcare (2 papers). Muhammad Saqlain is often cited by papers focused on Human Pose and Action Recognition (3 papers), Industrial Vision Systems and Defect Detection (3 papers) and Artificial Intelligence in Healthcare (2 papers). Muhammad Saqlain collaborates with scholars based in South Korea, Pakistan and Qatar. Muhammad Saqlain's co-authors include Jong Yun Lee, Qasim Abbas, Minghao Piao, Muazzam A. Khan, Sikandar Ali, Nazar Abbas Saqib, Ali Hussain, Hee Eun Choi, Hyo-Jung Kim and Hee‐Cheol Kim and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Muhammad Saqlain

12 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Saqlain South Korea 7 289 198 77 65 48 13 480
Matteo Terzi Italy 7 78 0.3× 32 0.2× 134 1.7× 30 0.5× 8 0.2× 17 292
Aristidis Vlachos Greece 8 50 0.2× 196 1.0× 125 1.6× 31 0.5× 5 0.1× 28 399
Reshma Banu India 13 35 0.1× 85 0.4× 71 0.9× 218 3.4× 6 0.1× 74 541
Ahmed R. Nasser Iraq 11 22 0.1× 76 0.4× 63 0.8× 55 0.8× 19 0.4× 31 353
Tuanfei Zhu China 8 17 0.1× 126 0.6× 373 4.8× 54 0.8× 45 0.9× 17 473
S. Praveena India 7 15 0.1× 110 0.6× 117 1.5× 77 1.2× 19 0.4× 41 352
Laxman Singh India 13 20 0.1× 39 0.2× 154 2.0× 186 2.9× 53 1.1× 52 481
C. Senthilkumar India 12 20 0.1× 116 0.6× 63 0.8× 75 1.2× 6 0.1× 51 401
Jiuzhen Liang China 12 248 0.9× 43 0.2× 99 1.3× 298 4.6× 4 0.1× 66 518

Countries citing papers authored by Muhammad Saqlain

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Saqlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Saqlain

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

All Works

13 of 13 papers shown
2.
Hassan, Najmul, et al.. (2024). ASSOCIATION BETWEEN ACUTE APPENDICITIS AND HYPERBILIRUBINEMIA. 2(2 (Health & Allied)). 539–547.
3.
Saqlain, Muhammad, et al.. (2024). Smoking behaviour in post-acute myocardial infarction patients: cross-sectional study. Annals of Medicine and Surgery. 86(5). 2531–2537. 2 indexed citations
4.
Hussain, Arif, et al.. (2023). Acute kidney injury in birth asphyxiated patients: A cross sectional study at Bahawal Victoria Hospital. Lung India. 41(1). 30–34. 1 indexed citations
5.
Saqlain, Muhammad, Sikandar Ali, & Jong Yun Lee. (2022). A Monte-Carlo tree search algorithm for the flexible job-shop scheduling in manufacturing systems. Flexible Services and Manufacturing Journal. 35(2). 548–571. 20 indexed citations
6.
Saqlain, Muhammad, et al.. (2022). 3DMesh-GAR: 3D Human Body Mesh-Based Method for Group Activity Recognition. Sensors. 22(4). 1464–1464. 3 indexed citations
7.
Saqlain, Muhammad, et al.. (2022). Learning 3D Skeletal Representation From Transformer for Action Recognition. IEEE Access. 10. 67541–67550. 13 indexed citations
8.
Hussain, Ali, Hee Eun Choi, Hyo-Jung Kim, et al.. (2021). Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques. Diagnostics. 11(5). 829–829. 29 indexed citations
9.
Saqlain, Muhammad, et al.. (2021). Towards Single 2D Image-Level Self-Supervision for 3D Human Pose and Shape Estimation. Applied Sciences. 11(20). 9724–9724. 5 indexed citations
10.
Saqlain, Muhammad, Qasim Abbas, & Jong Yun Lee. (2020). A Deep Convolutional Neural Network for Wafer Defect Identification on an Imbalanced Dataset in Semiconductor Manufacturing Processes. IEEE Transactions on Semiconductor Manufacturing. 33(3). 436–444. 136 indexed citations
11.
Saqlain, Muhammad, et al.. (2019). A Voting Ensemble Classifier for Wafer Map Defect Patterns Identification in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing. 32(2). 171–182. 167 indexed citations
12.
Saqlain, Muhammad, et al.. (2019). Framework of an IoT-based Industrial Data Management for Smart Manufacturing. Journal of Sensor and Actuator Networks. 8(2). 25–25. 75 indexed citations
13.
Saqlain, Muhammad, et al.. (2016). Identification of Heart Failure by Using Unstructured Data of Cardiac Patients. 426–431. 28 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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