Ankit Yadav, Dinesh Kumar Vishwakarma. "MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection." Published in Expert Systems with Applications (232), 2023 (Impact Factor: 7.5), (Pub: Elsevier).

Ankit Yadav, Dinesh Kumar Vishwakarma. "AW-MSA: Adaptively Weighted Multi-Scale Attentional Features for DeepFake Detection." Published in Engineering Applications of Artificial Intelligence (127), 2024 (Impact Factor: 7.5), (Pub: Elsevier).

Ankit Yadav, Dinesh Kumar Vishwakarma. "Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review." Published in Expert Systems with Applications (249C), 2023 (Impact Factor: 7.5), (Pub: Elsevier).

Ankit Yadav, Dhruv Gupta, Dinesh Kumar Vishwakarma. "Uncovering visual attention-based multi-level tampering traces for face forgery detection." Published in Signal, Image and Video Processing, 2023 (Impact Factor: 2.0), (Pub: Springer).

Varun Gupta, Ankit Yadav, Dinesh Kumar Vishwakarma. "HumanPoseNet: An All-Transformer Architecture for Pose Estimation with Efficient Patch Expansion and Attentional Feature Refinement." Published in Expert Systems with Applications (244), 2024 (Impact Factor: 7.5), (Pub: Elsevier).

Ankit Yadav, Dinesh Kumar Vishwakarma. "Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset." Published in Signal, Image and Video Processing, 2024 (Impact Factor: 2.0), (Pub: Springer).

Varun Gupta, Vaibhav Srivastava, Ankit Yadav, Dinesh Kumar Vishwakarma, Narender Kumar. "FreqFaceNet: an enhanced transformer architecture with dual-order frequency attention for deepfake detection" Published in Applied Intelligence, 2025 (Impact Factor: 3.4), (Pub: Springer)

Ankit Yadav, Dinesh Kumar Vishwakarma, "Deep learning algorithms for person re-identification: sate-of-the-art and research challenges" Published in Multimedia Tools and Applications (83), 2024 (Pub: Springer)

A. Srivastava, H. U. Nair, B. Saha, and A. Yadav, “DisasterFormer: An Enhanced Transformer with Edge-Guided Attention for Disaster Image Recognition,” in 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), Mar. 2025, pp. 1–6. doi: 10.1109/IATMSI64286.2025.10985468.

H. U. Nair, A. Tiwari, N. Rahat, R. K. Kaliyar, and A. Yadav, “Improving Deepfake Detection Using Deep Learning Techniques,” in 2024 9th International Conference on Communication and Electronics Systems (ICCES), Dec. 2024, pp. 1436–1441. doi: 10.1109/ICCES63552.2024.10859432

A. Yadav and D. K. Vishwakarma, “Investigating the Impact of Visual Attention Models in Face Forgery Detection,” in 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), Jun. 2023, pp. 1–7. doi: 10.1109/ICAISC58445.2023.10199338.

A. Yadav and D. K. Vishwakarma, “Recent Developments in Generative Adversarial Networks: A Review (Workshop Paper),” in 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), Sep. 2020, pp. 404–413. doi: 10.1109/BigMM50055.2020.00068.