Jia Uddin

2.6k citations
148 papers · 1.4k indexed · h-index 20

Impact in

Papers in

Jia Uddin

124 papers receiving 1.3k citations

Peers

Jia Uddin
Comparison fields: 5 of 144
  • Human-Computer Interaction 95
  • Computer Vision and Pattern Recognition 346
  • Water Science and Technology 182
  • Media Technology 96
  • Control and Systems Engineering 200
Replace Ryan Rhay P. Vicerra with:
Ryan Rhay P. Vicerra Philippines
Hemant Ghayvat India
Gabriel Villarrubia González Spain
Saleh Alghamdi Saudi Arabia
Angelos Amditis Greece
M. Pallikonda Rajasekaran India
Paolo Barsocchi Italy
Christine Dewi Indonesia
Stefano Chessa Italy
Ahmed Abdelgawad United States
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Citations per field
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Ryan Rhay P. Vicerra · 1×
Citations per year

Countries citing papers authored by Jia Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Jia Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jia Uddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jia Uddin Line = papers co-authored together Jia Uddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021135
2 202256
3 201953
4 201253
5 201949
6 201848
7 202342
8 202235
9 201933
10 201833
11 202427
12 201427
13 202327
14 202125
15 202323
16 202423
17
Texture Feature Extraction Techniques for Fault Diagnosis of Induction Motors
201422
18 202422
19 202122
20
Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
201620

About Jia Uddin

Jia Uddin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 148 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Machine Fault Diagnosis Techniques (14 papers), Industrial Vision Systems and Defect Detection (13 papers), Anomaly Detection Techniques and Applications (12 papers), Fault Detection and Control Systems (11 papers), Fire Detection and Safety Systems (8 papers), Advanced Neural Network Applications (7 papers) and Water Quality Monitoring Technologies (7 papers). The work is most often cited by research in Human-Computer Interaction (95 citations), Computer Vision and Pattern Recognition (346 citations), Water Science and Technology (182 citations), Media Technology (96 citations) and Control and Systems Engineering (200 citations). Jia Uddin has collaborated with scholars based in Bangladesh, South Korea and Malaysia. Frequent co-authors include Jong-Myon Kim, Mostofa Kamal Nasir, Nazrul Islam, Md. Saikat Islam Khan, Md. Monirul Islam, Md. Rashedul Islam, Md Abdus Samad, Ho‐Jin Choi, Fahmid Al Farid and Noramiza Hashim. Their work appears in journals such as IEEE Access, Sensors, Computers, materials & continua/Computers, materials & continua (Print), Journal Of Big Data and Scientific Reports.

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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