Mohammad Zawad Ali

718 total citations · 1 hit paper
11 papers, 517 citations indexed

About

Mohammad Zawad Ali is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Mohammad Zawad Ali has authored 11 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 5 papers in Electrical and Electronic Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Mohammad Zawad Ali's work include Machine Fault Diagnosis Techniques (8 papers), Fault Detection and Control Systems (4 papers) and Non-Destructive Testing Techniques (4 papers). Mohammad Zawad Ali is often cited by papers focused on Machine Fault Diagnosis Techniques (8 papers), Fault Detection and Control Systems (4 papers) and Non-Destructive Testing Techniques (4 papers). Mohammad Zawad Ali collaborates with scholars based in Canada, China and Bangladesh. Mohammad Zawad Ali's co-authors include Xiaodong Liang, Md Nasmus Sakib Khan Shabbir, Ting Hu, Yu Zhang, Huaguang Zhang, Asif Hassan and Md Shamiur Rahman and has published in prestigious journals such as IEEE Transactions on Industry Applications, Canadian Journal of Electrical and Computer Engineering and APCBEE Procedia.

In The Last Decade

Mohammad Zawad Ali

11 papers receiving 493 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.

Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals

2019 244 citations Mohammad Zawad Ali, Md Nasmus Sakib Khan Shabbir et al. IEEE Transactions on Industry Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Zawad Ali Canada	8	418	212	164	127	48	11	517
Wagner Fontes Godoy Brazil	13	513 1.2×	275 1.3×	155 0.9×	188 1.5×	68 1.4×	27	598
Mohammad Rezazadeh Mehrjou Malaysia	8	375 0.9×	204 1.0×	104 0.6×	142 1.1×	44 0.9×	20	453
Hakima Cherif Algeria	12	299 0.7×	142 0.7×	129 0.8×	105 0.8×	21 0.4×	15	358
Yi Du China	7	564 1.3×	353 1.7×	261 1.6×	128 1.0×	41 0.9×	24	707
Azeddine Bendiabdellah Algeria	12	406 1.0×	210 1.0×	229 1.4×	119 0.9×	23 0.5×	62	549
Chuck Yung United States	8	294 0.7×	179 0.8×	207 1.3×	53 0.4×	36 0.8×	33	443
Luqman S. Maraaba Saudi Arabia	14	276 0.7×	123 0.6×	229 1.4×	50 0.4×	21 0.4×	20	435
Noureddine Bessous Algeria	12	261 0.6×	152 0.7×	122 0.7×	84 0.7×	30 0.6×	47	370
Slim Tnani France	13	474 1.1×	137 0.6×	380 2.3×	57 0.4×	27 0.6×	48	601
Gilles Rostaing France	6	528 1.3×	377 1.8×	142 0.9×	114 0.9×	15 0.3×	13	603

Countries citing papers authored by Mohammad Zawad Ali

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Zawad Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Zawad Ali. 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 Mohammad Zawad Ali. The network helps show where Mohammad Zawad Ali may publish in the future.

Co-authorship network of co-authors of Mohammad Zawad Ali

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

All Works

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11 of 11 papers shown

1.

Ali, Mohammad Zawad & Xiaodong Liang. (2020). Threshold-Based Induction Motors Single- and Multifaults Diagnosis Using Discrete Wavelet Transform and Measured Stator Current Signal. Canadian Journal of Electrical and Computer Engineering. 43(3). 136–145. 17 indexed citations

2.

Ali, Mohammad Zawad, et al.. (2020). Single- and Multi-Fault Diagnosis Using Machine Learning for Variable Frequency Drive-Fed Induction Motors. IEEE Transactions on Industry Applications. 56(3). 2324–2337. 71 indexed citations

3.

Ali, Mohammad Zawad, Md Nasmus Sakib Khan Shabbir, Xiaodong Liang, Yu Zhang, & Ting Hu. (2019). Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals. IEEE Transactions on Industry Applications. 55(3). 2378–2391. 244 indexed citations breakdown →

4.

Liang, Xiaodong, Mohammad Zawad Ali, & Huaguang Zhang. (2019). Fault Diagnosis for Induction Motors Using Finite Element Method - A Review. 43. 1–11. 5 indexed citations

5.

Liang, Xiaodong, Mohammad Zawad Ali, & Huaguang Zhang. (2019). Induction Motors Fault Diagnosis Using Finite Element Method: A Review. IEEE Transactions on Industry Applications. 56(2). 1205–1217. 130 indexed citations

6.

Ali, Mohammad Zawad, et al.. (2019). Machine Learning Based Fault Diagnosis for Single-and Multi-Faults for Induction Motors Fed by Variable Frequency Drives. 1–14. 12 indexed citations

7.

Ali, Mohammad Zawad & Xiaodong Liang. (2019). Induction Motor Fault Diagnosis Using Discrete Wavelet Transform. 1–4. 11 indexed citations

8.

Shabbir, Md Nasmus Sakib Khan, et al.. (2018). A Probabilistic Approach for Peak Load Demand Forecasting. 28. 1–4. 3 indexed citations

9.

Ali, Mohammad Zawad, Md Nasmus Sakib Khan Shabbir, Xiaodong Liang, Yu Zhang, & Ting Hu. (2018). Experimental Investigation of Machine Learning Based Fault Diagnosis for Induction Motors. 1–14. 9 indexed citations

10.

Shabbir, Md Nasmus Sakib Khan, et al.. (2018). A Probabilistic Approach Considering Contingency Parameters for Peak Load Demand Forecasting. Canadian Journal of Electrical and Computer Engineering. 41(4). 224–233. 4 indexed citations

11.

Hassan, Asif, et al.. (2012). Electricity Challenge for Sustainable Future in Bangladesh. APCBEE Procedia. 1. 346–350. 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.

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