Ashish Ranjan

529 total citations
21 papers, 283 citations indexed

About

Ashish Ranjan is a scholar working on Molecular Biology, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Ashish Ranjan has authored 21 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Signal Processing and 5 papers in Computational Theory and Mathematics. Recurrent topics in Ashish Ranjan's work include Machine Learning in Bioinformatics (11 papers), Protein Structure and Dynamics (8 papers) and Computational Drug Discovery Methods (5 papers). Ashish Ranjan is often cited by papers focused on Machine Learning in Bioinformatics (11 papers), Protein Structure and Dynamics (8 papers) and Computational Drug Discovery Methods (5 papers). Ashish Ranjan collaborates with scholars based in India, United States and Russia. Ashish Ranjan's co-authors include Akshay Deepak, Jainath Yadav, Anurag Rajput, Balwinder Singh, David Fernández‐Baca, Sudhakar Tripathi, Aravind Prakash, Gayadhar Pradhan, Kannan Achan and Vladimir Voevodin and has published in prestigious journals such as Information Sciences, Neural Computing and Applications and Multimedia Tools and Applications.

In The Last Decade

Ashish Ranjan

17 papers receiving 270 citations

Peers

Ashish Ranjan

ECP

CNC

V. Tzouvaras Greece

Sartra Wongthanavasu Thailand

Guimin Huang China

Donghong Han China

Shan Yang China

Hailong Hu China

Ricardo Pezzuol Jacobi Brazil

Yasuhiro Takishima Japan

Roziati Zainuddin Malaysia

V. Tzouvaras Greece

Ashish Ranjan

46 ×0.4

152 ×1.7

101 ×1.2

ECP

12 ×0.2

17 ×0.4

CNC

Citations per year, relative to Ashish Ranjan Ashish Ranjan (= 1×) peers V. Tzouvaras

Countries citing papers authored by Ashish Ranjan

Since Specialization

Citations

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

Fields of papers citing papers by Ashish Ranjan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Ranjan

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Ranjan. A scholar is included among the top collaborators of Ashish Ranjan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashish Ranjan. Ashish Ranjan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ranjan, Ashish, et al.. (2025). Enhancing patient-independent detection of freezing of gait in Parkinson’s disease with deep adversarial network. Neural Computing and Applications. 37(25). 20569–20589.

Ranjan, Ashish, et al.. (2025). A fast (CNN + MCWS-transformer) based architecture for protein function prediction. Statistical Applications in Genetics and Molecular Biology. 24(1).

Deepak, Akshay, et al.. (2024). A CNN-CBAM-BIGRU model for protein function prediction. Statistical Applications in Genetics and Molecular Biology. 23(1).

Deepak, Akshay, et al.. (2024). Bi-SeqCNN: A Novel Light-Weight Bi-Directional CNN Architecture for Protein Function Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1922–1933. 1 indexed citations

Deepak, Akshay, et al.. (2024). CrossPredGO: A Novel Light-Weight Cross-Modal Multi-Attention Framework for Protein Function Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1709–1720. 3 indexed citations

Deepak, Akshay, et al.. (2023). A novel hybrid CNN and BiGRU-Attention based deep learning model for protein function prediction. Statistical Applications in Genetics and Molecular Biology. 22(1). 6 indexed citations

Deepak, Akshay, et al.. (2023). Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(3). 2242–2253. 6 indexed citations

Ranjan, Ashish, et al.. (2022). Speaker Adversarial Neural Network (SANN) for Speaker-independent Speech Emotion Recognition. Circuits Systems and Signal Processing. 41(11). 6113–6135. 5 indexed citations

Ranjan, Ashish, et al.. (2022). Enhancement of Power System Stability Utilizing UPFC Based Hybrid Optimized Technique in IEEE-14 Bus System. Electric Power Components and Systems. 50(13). 706–726. 3 indexed citations

10.

Ranjan, Ashish, et al.. (2022). Emotion recognition from spontaneous speech using emotional vowel-like regions. Multimedia Tools and Applications. 81(10). 14025–14043. 2 indexed citations

11.

Ranjan, Ashish, et al.. (2022). MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1188–1199. 5 indexed citations

12.

Ranjan, Ashish, et al.. (2022). λ-Scaled-attention: A novel fast attention mechanism for efficient modeling of protein sequences. Information Sciences. 609. 1098–1112. 3 indexed citations

13.

Ranjan, Ashish, et al.. (2021). A Review of Supercomputer Performance Monitoring Systems. Supercomputing Frontiers and Innovations. 8(3). 1 indexed citations

14.

Ranjan, Ashish, David Fernández‐Baca, Sudhakar Tripathi, & Akshay Deepak. (2021). An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(5). 2685–2696. 12 indexed citations

15.

Ranjan, Ashish, et al.. (2020). Personalizing Item Recommendation via Price Understanding.. Conference on Recommender Systems. 4 indexed citations

16.

Ranjan, Ashish, et al.. (2020). A survey of speech emotion recognition in natural environment. Digital Signal Processing. 110. 102951–102951. 100 indexed citations

17.

Ranjan, Ashish, et al.. (2019). Protein Function Prediction: Combining Statistical Features with Deep Learning. SSRN Electronic Journal. 1 indexed citations

18.

Ranjan, Ashish, et al.. (2016). Two-phase entropy based approach to big data anonymization. 76–81. 6 indexed citations

19.

Ranjan, Ashish, Anurag Rajput, & Balwinder Singh. (2016). Design and analysis of spectrum sensing in cognitive radio based on energy detection. 1–5. 31 indexed citations

20.

Ranjan, Ashish, et al.. (2011). Temporal Data Mining: An Overview. 70 indexed citations

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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