01Research activity
Explainable AI research by ScholarsColab researchers
What researchers combine with Explainable AI
Words that appear most often in these paper titles. Tap one to see those papers.
Recent focus (2023 onwards): learning, detection, deep, disease, model, techniques.
02Researchers
PhD researchers working on Explainable AI
Every researcher below is registered on ScholarsColab and can be hired as a mentor or for a project. Publication counts are their papers on this topic.
03Papers
Research papers on Explainable AI
- Detecting deepfake images using deep learning techniques and explainable AI methods202363 citationsIntelligent Automation and Soft ComputingDr Rajesh Dey
- An Explainable AI framework for credit evaluation and analysis202459 citationsApplied Soft ComputingSiddhartha Bhattacharyya
- Plant leaf disease detection using ensemble learning and Explainable AI202439 citationsIEEE AccessDr Mueen Uddin
- A study and comparison of deep learning based potato leaf disease detection and classification techniques using explainable AI202429 citationsMultimedia Tools and ApplicationsDr. Saroj Kumar Pandey
- Developing a transparent diagnosis model for diabetic retinopathy using explainable AI202426 citationsIEEE AccessMuhammad Saleem
- An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images202523 citationsScientific ReportsDr. Muhammad Aminur Rahaman
- Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic202516 citationsSileshi Nibret Zeleke
- Erythemato-Squamous Diseases Prediction and Interpretation Using Explainable AI202414 citationsIETE Journal of ResearchGyanendra Chaubey
- Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI202513 citationsScientific ReportsMuhammad Saleem
- The revolution and vision of explainable ai for android malware detection and protection202413 citationsInternet of ThingsAbdul Ahad
- Exploring explainable AI: a bibliometric analysis202410 citationsDiscover Applied SciencesDr. Shamneesh Sharma
- Explainable AI in healthcare: Unboxing machine learning for biomedicine20238 citationsMohendra Roy
- LIME-based explainable AI models for predicting disease from patient’s symptoms20238 citationsFerdib-Al-Islam
- Explainable AI-driven intelligent system for precision forecasting in cardiovascular disease20257 citationsFrontiers in MedicineMuhammad Saleem
- Demystifying Predictive Maintenance: Achieving Transparency through Explainable AI20246 citationsDr. Vikash Yadav
- An explainable AI approach towards epileptic seizure detection20224 citationsChirag N Paunwala
- Autism Spectrum Disorder Identification from Facial Images Using Fine Tuned Pre-trained Deep Learning Models and Explainable AI Techniques20254 citationsFerdib-Al-Islam
- A novel eXplainable AI agent for social interaction training of people with Autism Spectrum Disorder (ASD)20254 citationsInternational Journal of Information TechnologyRama Komaragiri
- CoVid-19 Detection leveraging Vision Transformers and Explainable AI20232 citationsDr. Mallikharjuna Rao K
- DDoS Attack Detection Using Explainable AI in Machine Learning20242 citationsAshish Ranjan
- fDoS: Explainable AI-Based Federated Learning for DDoS Detection in IoT Networks20251 citationsDr. Mallikharjuna Rao K
- Mitigating Bias in AI Recruitment Through Explainable AI for Fair and Inclusive Hiring Practices20251 citationsDistributed Deep Learning and Explainable AI (XAI) in IndustryP. Jayadharshini
- Detecting electricity theft in smart grids using optimized machine learning ensemble techniques and eXplainable AI20251 citationsEnergy ReportsBenish Kabir
- An Explainable AI-Based Ensemble Machine Learning Framework for Early-Stage Diabetes Prediction0 citationsDr. Muhammad Aminur Rahaman
- Toward Transparent Credit Risk Assessment: A Deep Learning Model with Feature Engineering and Explainable AI20250 citationsMd.Faishal Ahmed Rudro
- Heart Disease Risk Prediction Using Machine Learning and Explainable Ai: A Data-Driven Approach for Early Diagnosis and Prevention0 citationsMd.Faishal Ahmed Rudro
- Towards Transparent Industrial Inspection: Explainable AI-Based YOLOv8 Framework for Multi-Class Fabric Defect Detection0 citationsMd.Faishal Ahmed Rudro
- Profile Detect: Using Explainable Ai To Identify Student Profiles In Online Judge Systems20240 citationsJournal of TechnologyDr. V.Bapuji
- Explainable AI for Automated Multi-Disease Diagnosis: A Survey on Interpretable Deep Learning in Healthcare20250 citationsSGS-Engineering & SciencesDr Senbagavalli M
- An Interpretable, Data-Driven Framework Empowered by Explainable AI for Fuel Consumption and CO₂ Emission Prediction20250 citationsCatalysis TodayMuhammad Saleem
- Enhancing smart city mobility through real time explainable AI in autonomous vehicles20250 citationsScientific ReportsMuhammad Saleem
- Chronic Kidney Disease Prediction and Interpretation Using Explainable AI20250 citationsCommunications in Computer and Information ScienceGyanendra Chaubey
- Enhancing Crop Disease Detection Systems with Explainable AI Techniques for Deep Learning Models Using Spectral Imaging20250 citationsDr. Gouri Sankar Mishra
- Lightweight Continual Learning for Cervical Cancer Diagnosis with Synthetic Augmentation and Explainable AI0 citationsRoseline Oluwaseun Ogundokun
- Mitigating Bias in AI Recruitment Through Explainable AI20250 citationsP. Jayadharshini
- Explainable AI for Energy Prediction in Smart Building20240 citationsHAMLICH
- Explainable AI-Powered Anomaly Detection: A Computer Vision Approach to Strengthening Human-Centric Cybersecurity20250 citationsVictor Ayodeji Oluwasusi
- Hybrid Shaping with LIME and Counterfactual Explanations (DiCE) for Explainable AI in Intrusion Detection Systems20250 citationsFarah Jemili
- Adaptive Explainable AI Models for Bias Mitigation in High-Dimensional Biomedical Imaging Genomics20250 citationsMusik in BayernDr. Sumit Kumar Kapoor
- AUTOMATED DETECTION OF MULTIPLE SCLEROSIS LESIONS IN MRI USING AN EXPLAINABLE AI FRAMEWORK WITH HIERARCHICAL FEATURE FUSION20250 citationsJournal of Theoretical and Applied Information TechnologyDivya Rayavarapu
04Journals
Journals that publish Explainable AI research
Where our researchers published their papers on this topic, with each journal’s indexing.
| Journal | Indexing | Impact factor* | Papers |
|---|---|---|---|
| Scientific Reports | SCIEScopusJCR 2024 | 5.26 Q1 | 3 |
| IEEE Access | SCIEScopusJCR 2024 | 6.50 Q1 | 2 |
| Applied Soft Computing | SCIEScopusJCR 2024 | 6.45 Q1 | 1 |
| Intelligent Automation and Soft Computing | Scopus | 3.91 | 1 |
| Journal of Technology | Scopus | 0.23 | 1 |
| SGS-Engineering & Sciences | Not listed in our indexing lists | – | 1 |
| Frontiers in Medicine | SCIEScopusJCR 2024 | 2.58 Q1 | 1 |
| Catalysis Today | SCIEScopusJCR 2024 | 5.84 Q1 | 1 |
| Discover Applied Sciences | ESCIScopus | 4.39 Q1 | 1 |
| International Journal of Information Technology | Scopus | 6.28 | 1 |
| IETE Journal of Research | SCIEScopusJCR 2024 | 1.66 Q3 | 1 |
| Communications in Computer and Information Science | Scopus | – | 1 |
| Multimedia Tools and Applications | ScopusJCR 2024 | 5.93 | 1 |
| Internet of Things | SCIEScopusJCR 2024 | 10.2 Q1 | 1 |
| Distributed Deep Learning and Explainable AI (XAI) in Industry | Not listed in our indexing lists | – | 1 |
*Impact factor and quartile calculated from OpenAlex open data where available; official Journal Impact Factors are published by Clarivate. Indexing from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists. Find the right journal for your own paper →
05Top 2% scientists
World’s Top 2% scientists in Artificial Intelligence & Image Processing
The Stanford/Elsevier World’s Top 2% Scientists list ranks researchers by a composite citation indicator. Artificial Intelligence & Image Processing is the research subfield closest to Explainable AI in that list; 10,979 researchers from 94 countries are listed in it.
| Researcher | Institution | Country | World rank |
|---|---|---|---|
| Bengio, Yoshua | Montreal Institute for Learning Algorithms | Canada | 34 |
| Zadeh, Lotfi A. | University of California, Berkeley | United States | 36 |
| Hinton, Geoffrey E. | University of Toronto | Canada | 40 |
| Jain, Anil K. | Michigan State University | United States | 55 |
| Mirjalili, Seyedali | Torrens University Australia | Australia | 86 |
| Xu, Zeshui | Sichuan University | China | 110 |
| Yager, Ronald R. | Iona College | United States | 113 |
| van der Aalst, Wil M.P. | Rheinisch-Westfälische Technische Hochschule Aachen | Germany | 169 |
| Deb, Kalyanmoy | Department of Computer Science | United States | 198 |
| Schmidhuber, Jürgen U. | King Abdullah University of Science and Technology | Saudi Arabia | 230 |
| Girshick, Ross B. | Vercept | India | 297 |
| Yang, Xin She | Middlesex University | United Kingdom | 357 |
Source: Elsevier Data Repository, Ioannidis et al., 2026 edition, citations to the end of 2025 (career-long ranking). ScholarsColab is not affiliated with Stanford University or Elsevier, and the researchers listed are not ScholarsColab mentors unless marked so above.
06Related topics
Topics related to Explainable AI
Topics that share the most papers with Explainable AI in our researchers’ work:
- Artificial Intelligence (AI)1,196 papers · 404 researchers
- Autism Spectrum22 papers · 20 researchers
- Deep Learning (DL)968 papers · 331 researchers
- Machine Learning (ML)1,348 papers · 424 researchers
- Healthcare445 papers · 205 researchers
- Cancer632 papers · 207 researchers
07Questions
Frequently asked questions
What do researchers study in Explainable AI?
In papers by ScholarsColab researchers, Explainable AI appears most often together with learning, detection, deep, disease, model, prediction. Work since 2023 focuses most on learning, detection, deep, disease.
Who works on Explainable AI research?
30 PhD researchers on ScholarsColab have published on Explainable AI (40 papers), including Muhammad Saleem, Md.Faishal Ahmed Rudro, Dr. Muhammad Aminur Rahaman. Each has a public profile with their Google Scholar publications, and you can hire them as a mentor or for a research project.
Which journals publish Explainable AI research?
Our researchers published their Explainable AI papers in 18 journals, most often in Scientific Reports, IEEE Access, Applied Soft Computing, Intelligent Automation and Soft Computing. The journal table on this page shows the indexing of each one (SCIE, Scopus, ESCI).
How many research papers on Explainable AI are on ScholarsColab?
40 papers published between 2022 and 2025, cited 353 times in total (median 1.5 citations per paper). The list updates automatically as researchers join and publish.
Can I hire a PhD expert in Explainable AI for my thesis or paper?
Yes. Open any researcher profile on this page to see their publications, then post your project or hire them directly. For a paper you have already written, a Manuscript Audit by a reviewer in Explainable AI shows what to fix before you submit, and Journal Selection shortlists up to five journals that match it.
Need a PhD expert in Explainable AI?
Hire a researcher who has published on this topic to guide your thesis or project, or get your manuscript audited and matched to the right journal before you submit.
