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Find the right journal for your paper
Paste your title, keywords or abstract. We match it against 28,582 journal papers published by PhD researchers on ScholarsColab and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
- 1
Electronics
SCIEScopusJCR 2024- Deep Learning for Depression Detection from Textual Data
Dr Mueen Uddin - Multi-level deep learning model for potato leaf disease recognition
Dr Javed Rashid - Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
P M Durai Raj Vincent
- Deep Learning for Depression Detection from Textual Data
- 2
International Journal of Computational Intelligence Systems
SCIEScopusJCR 2024- Transforming early breast cancer detection: A deep learning approach using convolutional neural networks and advanced classification techniques
Udham Singh - Optimizing Deep Learning Models for Clinical Lung Cancer Detection: Comparative Analysis of Segmentation-Enhanced CNN-Ensemble Approaches in Chest CT Screening
Hossein Najafzadeh - Automated Lumbar Spine Degenerative Classification Using Deep Learning: A Comprehensive Evaluation Based on RSNA 2024 Dr Javed Rashid
- Transforming early breast cancer detection: A deep learning approach using convolutional neural networks and advanced classification techniques
- 3
SGS-Engineering & Sciences
Not found in our indexing lists- Advanced Thoracic Disease Diagnosis Using DenseNet and Deep Learning based Segmentation Models
Dr Rajesh Dey - Revolutionizing Thoracic Disease Diagnosis with Advanced Deep Learning and Segmentation Models Dr Rajesh Dey
- Deep Learning for Plant Leaf Disease Detection: A Step Toward Smart and Sustainable Agriculture
Basant Kumar
- Advanced Thoracic Disease Diagnosis Using DenseNet and Deep Learning based Segmentation Models
- 4
IEEE Access
SCIEScopusJCR 2024- Detection of depression using weighted spectral graph clustering with EEG biomarkers
Urvashi Shukla - Deep learning-based hyperparameter optimization for enhanced segmentation of RGB images in oil spill detection within port environments
Dahiru Adamu Aliyu - Optimizing Deep Learning Architectures for Diabetic Retinopathy Detection: A Comparative Study of CNN and ResNet-50 with ADAM and SGDM
Mohamed El-Sakhawy
- Detection of depression using weighted spectral graph clustering with EEG biomarkers
- 5
Journal of Electrical Systems
ScopusJCR 2024- Optimizing Breast Cancer Diagnosis with Advanced Deep Learning Techniques in Medical Imaging
Dr. M. Prasad - Deep learning driven QoS anomaly detection for network performance optimization.
Dr Rupali Mahajan - Deep Learning Algorithm for Real-time Disease Detection and Classification in Radiological Images with Enhanced Diagnostic Accuracy
Dr Gnanajeyaraman Rajaram
- Optimizing Breast Cancer Diagnosis with Advanced Deep Learning Techniques in Medical Imaging
- An Automated and Real-time Approach of Depression Detection from Facial Micro-expressions.
Dr Mahmood ul Hassabln - Real-time multiple guava leaf disease detection from a single leaf using hybrid deep learning technique Dr Javed Rashid
- Deep learning method to detect the road cracks and potholes for smart cities Dr Javed Rashid
- An Automated and Real-time Approach of Depression Detection from Facial Micro-expressions.
- 7
Sensors
SCIEScopusJCR 2024- GrAb: A Deep Learning-Based Data-Driven Analytics Scheme for Energy Theft Detection
APARNA KUMARI - Network threat detection using machine/deep learning in SDN-based platforms: a comprehensive analysis of state-of-the-art solutions, discussion, challenges, and future research … Dr Mueen Uddin
- Litter Detection with Deep Learning: A Comparative Study
Ibrahim A. Hameed
- GrAb: A Deep Learning-Based Data-Driven Analytics Scheme for Energy Theft Detection
- EARLY SEPSIS DETECTION FROM ICU DATA USING WAVELET FEATURE EXTRACTION WITH HYBRID DEEP LEARNING FRAMEWORK
Dr. V. Gokula Krishnan - INTEGRATING MULTIMODAL MEDICAL IMAGING DATA FOR ENHANCED BONE CANCER DETECTION: A DEEP LEARNING-BASED FEATURE FUSION APPROACH
Narsimha Reddy - DEEP LEARNING-DRIVEN FLEXIBLE BIOSENSOR SYSTEM FOR CONTINUOUS HEALTH MONITORING AND EARLY DISEASE DETECTION
Dr. Taviti Naidu Gongada
- EARLY SEPSIS DETECTION FROM ICU DATA USING WAVELET FEATURE EXTRACTION WITH HYBRID DEEP LEARNING FRAMEWORK
- 9
Scientific Reports
SCIEScopusJCR 2024- Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection Dr Mueen Uddin
- Development of a clinical decision support system for breast cancer detection using ensemble deep learning
Dr. Saroj Kumar Pandey - Hybrid deep learning for smart paddy disease diagnosis using self supervised hierarchical reconstruction and attention based temporal analysis UUsha Rani Nelakuditi
- Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection
- 10
Neural Computing and Applications
ScopusJCR 2024- Advancing Alzheimer’s detection: integrative approaches in MRI analysis with traditional and deep learning models
T Vanaja - A novel technique for stress detection from EEG signal using hybrid deep learning model
Dr. Lokesh - Fuzzy deep learning-based crop yield prediction model for sustainable agronomical frameworks P M Durai Raj Vincent
- Advancing Alzheimer’s detection: integrative approaches in MRI analysis with traditional and deep learning models
How it works: no AI or language model is used. Your words are matched against the titles of real published papers by our mentors; journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
Why this journal finder is different
| ScholarsColab Journal Finder | Typical journal finders | |
|---|---|---|
| How it suggests journals | Matches your words against titles of real published papers, then ranks the journals those papers appeared in | AI or text models predict likely journals, or a publisher matches you to its own journals |
| Evidence shown | The actual matching papers, their year and citations, and the researchers who published them | Usually a match score or a short journal description |
| Journals covered | Every journal our mentors have published in, across all publishers, including smaller and specialised journals | Often one publisher’s journals only |
| Indexing shown | All the lists a journal appears in: SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024 | Varies |
| Next step | Talk to the researcher who published there, or ask a PhD expert to shortlist and submit | Go to the journal’s website |
The hidden journals behind the suggestions
ScholarsColab mentors have published journal papers in 12,521 different journals. 4,636 of them (37%), holding 55% of those papers, appear in at least one of the SCIE, SSCI, AHCI, ESCI, Scopus or JCR 2024 lists, and 3,278 appear in more than one.8,294 of these 12,521 journals (66%) appear only once in our data: the long tail of smaller and specialised journals that general-purpose tools rarely suggest. When a small, specialised journal has published work close to yours, the finder can surface it, because the suggestion comes from what was actually published rather than from a journal’s marketing description.
What the indexing of a journal tells you
Of our mentors’ journal papers, 32% appeared in Web of Science core journals (SCIE, SSCI or AHCI), 7% in ESCI journals, 16% in journals found only in Scopus, and 46% in journals not found in any of these lists.Indexing is not everything, and these are associations, not proof that indexing causes citations. But if your university, funder or promotion committee asks for SCIE, SSCI or Scopus journals, use the filter in the finder to show only those.
How to use the results
- Read the matching papers under each journal: are they really close to your work?
- Check the indexing badges against what your institution requires, and use the filter if needed.
- Open the journal’s website and confirm its aims and scope, article types and fees.
- Confirm the indexing officially on the Web of Science Master Journal List or the Scopus source list.
- Talk to the mentor who published there about the journal’s review process, or ask our team to shortlist journals for you.
Frequently asked questions
Is the ScholarsColab Journal Finder free?
Yes. You can search as often as you like; there is no sign-up.
Does the Journal Finder use AI?
No. It matches the words of your title, keywords or abstract against the titles of real published papers and ranks journals by how many closely matching papers they published. No AI or language model is involved.
Where does the indexing information come from?
From the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 journal lists, matched by journal name. A journal marked “not found in our indexing lists” may still be indexed under a different name, so always confirm on the official lists.
Is my text stored?
Your search is used only to calculate the suggestions and is not saved with your identity.
Can a PhD expert choose the journal for me?
Yes. The Journal Selection & Submission service shortlists up to 5 journals for your manuscript by indexing and quartile and handles the submission.
Want a PhD expert to choose the journal with you?
Our Journal Selection & Submission service shortlists up to 5 journals that match your manuscript, indexing requirement and target quartile, and handles the submission. If your paper was rejected before, a Manuscript Audit shows what to fix first.