M. Khalid

853 total citations
47 papers, 637 citations indexed

About

M. Khalid is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, M. Khalid has authored 47 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 18 papers in Artificial Intelligence and 14 papers in Electrical and Electronic Engineering. Recurrent topics in M. Khalid's work include Neural Networks and Applications (14 papers), Multilevel Inverters and Converters (10 papers) and Electric Motor Design and Analysis (9 papers). M. Khalid is often cited by papers focused on Neural Networks and Applications (14 papers), Multilevel Inverters and Converters (10 papers) and Electric Motor Design and Analysis (9 papers). M. Khalid collaborates with scholars based in Malaysia, India and Japan. M. Khalid's co-authors include Rubiyah Yusof, Sigeru Omatu, Rubiyah Yusof, Siti Norul Huda Sheikh Abdullah, Khairuddin Omar, Raja Nerina Raja Yusof, Fabrice Mériaudeau, Hafizah Husain, Christian Viard-Gaudin and Yong Haur Tay and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industry Applications and IEEE Transactions on Control Systems Technology.

In The Last Decade

M. Khalid

45 papers receiving 563 citations

Peers

M. Khalid
Comparison fields: 5 of 92
  • Control and Systems Engineering 314
  • Artificial Intelligence 253
  • Computer Vision and Pattern Recognition 107
  • Electrical and Electronic Engineering 106
  • Media Technology 45
Replace Pei-hong Wang with:
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Pei-hong Wang China View profile →
Citations per field, relative to M. Khalid
M. Khalid · 1×
Citations per year, relative to M. Khalid
M. Khalid · 1×

Countries citing papers authored by M. Khalid

Since Specialization
Citations

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

Fields of papers citing papers by M. Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Khalid

This figure shows the co-authorship network connecting the top 25 collaborators of M. Khalid. A scholar is included among the top collaborators of M. Khalid 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 M. Khalid. M. Khalid 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
# Work Indexed citations
1 1
2 0
3 2
4 7
5 6
6 2
7 19
8
A new mutation operation for faster convergence in genetic algorithm feature selection
14
9
Application of Length-Based DNA Computing for Complex Scheduling Problem
5
10
FUNCTION MINIMIZATION IN DNA SEQUENCE DESIGN BASED ON CONTINUOUS PARTICLE SWARM OPTIMIZATION
3
11
AUTOMATIC JUDGMENT OF SPINAL DEFORMITY BASED ON BACK PROPAGATION ON NEURAL NETWORK
4
12 34
13
Molecular computation approach to compete Dijkstra's algorithm
3
14
Control of a complex traffic junction using fuzzy inference
20
15 3
16 3
17 189
18 8
19 26
20 6

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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