Chittagong University of Engineering & Technology
In research, Chittagong University of Engineering & Technology stands highest in Engineering (#907 of 6,636 worldwide), Physical Sciences (#2,061 of 12,888 worldwide) and Electrical and Electronic Engineering (#642 of 2,318 worldwide), 2022–2025. Relative to its size it is most specialised in Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition — Signal Processing is 4.5× its share of world research.
- World rank, 2022–2025
- #2,930 of 28,054 · #6,794 all time
- Rank in Bangladesh
- #23 of 135
- Research works
- 3.2k ▲ 138% vs 2013–17
- Citations
- 34k 10.7 per fractional work
- Top-10% rate
- 18.6% record average 16.5%
- Open access
- 37% world 28%
What is Chittagong University of Engineering & Technology known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| EngineeringField | #907 of 6,636 | 19.5% | 555 | #2603 | |
| Physical SciencesDomain | #2,061 of 12,888 | 17.6% | 1,254 | #4779 | |
| Electrical and Electronic EngineeringSubfield | #642 of 2,318 | 18.9% | 181 | #1881 | |
| Computer ScienceField | #1,823 of 4,667 | 15.4% | 369 | #2978 | |
| Health SciencesDomain | #4,827 of 11,982 | 21.3% | 126 | #9681 | |
| MedicineField | #5,129 of 10,443 | 20.9% | 100 | #11009 | |
| Aerospace EngineeringSubfield | #397 of 795 | 53.7% | 64 | — | |
| Social SciencesDomain | #5,447 of 10,521 | 24.7% | 141 | #10510 | |
| Artificial IntelligenceSubfield | #978 of 1,884 | 14.9% | 161 | #1494 | |
| Materials ScienceField | #1,304 of 2,468 | 20.8% | 98 | #3097 |
Each strip is that field’s whole ranked pool, with the notch where Chittagong University of Engineering & Technology sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Engineering#2,603 #907
- Physical Sciences#4,779 #2,061
- Electrical and Electronic Engineering#1,881 #642
- Computer Science#2,978 #1,823
- Health Sciences#9,681 #4,827
- Medicine#11,009 #5,129
- Social Sciences#10,510 #5,447
- Artificial Intelligence#1,494 #978
- Materials Science#3,097 #1,304
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Chittagong University of Engineering & Technology specialise in?
Where its research is concentrated relative to its size: Signal Processing takes 4.5× the share of its output that it takes of world research.
- Signal ProcessingSubfield · 22.3 works4.5×
- Artificial IntelligenceSubfield · 160.7 works4.1×
- Computer Vision and Pattern RecognitionSubfield · 70.7 works3.5×
- Aerospace EngineeringSubfield · 64.0 works3.4×
- Computer Networks and CommunicationsSubfield · 46.0 works3.2×
- Electrical and Electronic EngineeringSubfield · 180.6 works3.1×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 2.9×. Every wedge is a field page.
- Computer Science 2.9×
- Engineering 2.3×
- Energy 2.2×
- Materials Science 1.7×
- Neuroscience 1.5×
- Physics and Astronomy 1.5×
- Environmental Science 1.3×
- Chemical Engineering 0.8×
- Psychology 0.8×
- Earth and Planetary Sciences 0.8×
- Decision Sciences 0.6×
- Chemistry 0.6×
- Health Professions 0.5×
- Agricultural and Biological Sciences 0.5×
- Economics, Econometrics and Finance 0.5×
- Business, Management and Accounting 0.3×
- Medicine 0.3×
- Social Sciences 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Mathematics 0.2×
- Nursing 0.2×
- Dentistry 0.2×
- Immunology and Microbiology 0.1×
- Arts and Humanities 0.1×
- Veterinary 0.0×
Who are the top researchers at Chittagong University of Engineering & Technology?
Ranked on the composite score, Iqbal H. Sarker, M. M. Hossain and Omar Sharif lead among researchers whose main affiliation is Chittagong University of Engineering & Technology.
- 1 Iqbal H. Sarker Bangladesh · #80,261 worldwide 366 citations · 55 works
- 2 M. M. Hossain Bangladesh · #207,524 worldwide 169 citations · 26 works
- 3 Omar Sharif Bangladesh · #504,224 worldwide 83 citations · 26 works
- 4 Mohammed Sarfaraz Gani Adnan Bangladesh · #583,425 worldwide 73 citations · 16 works
- 5 Eftekhar Hossain Bangladesh · #592,656 worldwide 68 citations · 21 works
- 6 M. G. Hafez Bangladesh · #635,098 worldwide 57 citations · 16 works
- 7 Mohammed Moshiul Hoque Bangladesh · #672,134 worldwide 161 citations · 80 works
- 8 Kaushik Deb Bangladesh · #711,959 worldwide 106 citations · 44 works
- 9 M. A. Ali Bangladesh · #867,613 worldwide 114 citations · 30 works
- 10 Md. Mizanur Rahman Bangladesh · #955,050 worldwide 45 citations · 16 works
Which keywords describe research at Chittagong University of Engineering & Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Convolutional Neural Networks, Neural Networks, Feature Extraction, Renewable Energy, Social Media and Emotion Recognition.
- Behavioral Analysis
- Opinion Mining
- Human-Computer Interaction
- Text Mining
- Sentiment Analysis
- Transfer Learning
- Offensive Language
- Environmental Monitoring
- Cyberbullying
- IoT
- Wireless Sensor Networks
- Antenna
- Artificial Neural Networks
- Wireless Communications
- Detection
- Classification
- Feature Extraction
- Social Media
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Renewable Energy
- Environmental Impact
- Internet of Things
- Emotion Recognition
- Security
- Natural Language Processing
- Metamaterial
- Microstrip
- Medical Imaging
- Image Processing
- IoT Security
- Hate Speech
- Text Classification
- Smart Home
- Energy Management
- Information Retrieval
- Aspect-based Sentiment Analysis
- Wearable Sensors
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning296▲ 5.3×68 topics
- Machine Learning225▲ 4.2×73 topics
- Neural Networks87▲ 3.5×29 topics
- Convolutional Neural Networks72▲ 6.0×13 topics
- Renewable Energy71▲ 3.1×29 topics
- Social Media68▲ 2.9×10 topics
- Environmental Impact51▲ 1.85×35 topics
- Feature Extraction51▲ 6.8×10 topics
- Internet of Things47▲ 3.4×20 topics
- Classification40▲ 5.4×10 topics
- Emotion Recognition39▲ 13×4 topics
- Detection39▲ 8.2×9 topics
- Security36▲ 3.4×17 topics
- Wireless Communications34▲ 12×4 topics
- Natural Language Processing34▲ 8.9×5 topics
- Artificial Neural Networks33▲ 4.3×7 topics
- Metamaterial33▲ 22×2 topics
- Antenna33▲ 24×1 topic
- Microstrip33▲ 24×1 topic
- Wireless Sensor Networks32▲ 4.4×17 topics
- Medical Imaging32▲ 3.8×7 topics
- IoT31▲ 5.2×13 topics
- Image Processing30▲ 4.3×11 topics
- Cyberbullying30▲ 30×2 topics
- IoT Security30▲ 5.8×3 topics
- Environmental Monitoring30▲ 4.9×8 topics
- Hate Speech27▲ 46×1 topic
- Offensive Language27▲ 46×1 topic
- Text Classification25▲ 9.6×3 topics
- Transfer Learning24▲ 7.8×3 topics
- Smart Home24▲ 8.9×3 topics
- Sentiment Analysis24▲ 13×2 topics
- Energy Management24▲ 8.5×2 topics
- Text Mining23▲ 10×3 topics
- Information Retrieval22▲ 6.2×5 topics
- Human-Computer Interaction21▲ 7.5×4 topics
- Aspect-based Sentiment Analysis21▲ 24×1 topic
- Opinion Mining21▲ 24×1 topic
- Wearable Sensors20▲ 11×3 topics
- Behavioral Analysis20▲ 11×2 topics
Which research topics does Chittagong University of Engineering & Technology publish most on?
By volume in 2022–2025: Antenna Design and Analysis, Hate Speech and Cyberbullying Detection, Sentiment Analysis and Opinion Mining and Brain Tumor Detection and Classification.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Antenna Design and Analysis Aerospace Engineering 33 works
- 2 Hate Speech and Cyberbullying Detection Artificial Intelligence 27 works
- 3 Sentiment Analysis and Opinion Mining Artificial Intelligence 21 works
- 4 Brain Tumor Detection and Classification Neurology 16 works
- 5 Smart Agriculture and AI Plant Science 15 works
- 6 Emotion and Mood Recognition Experimental and Cognitive Psychology 15 works
- 7 EEG and Brain-Computer Interfaces Cognitive Neuroscience 14 works
- 8 Topic Modeling Artificial Intelligence 14 works
- 9 Smart Grid Energy Management Electrical and Electronic Engineering 14 works
- 10 Microwave Engineering and Waveguides Electrical and Electronic Engineering 13 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Chittagong University of Engineering & Technology's research output changed?
Output in 2018–2022 was 138% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Chittagong
- University of Chittagong
- International Islamic University Chittagong
- Noakhali Science and Technology University
- Premier University
- Chittagong Medical College
- Chattogram Veterinary and Animal Sciences University
- University of Science and Technology Chittagong
- Southern University
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.