Jaspreet Singh

453 total citations
10 papers, 209 citations indexed

About

Jaspreet Singh is a scholar working on Molecular Biology, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaspreet Singh has authored 10 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Materials Chemistry and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jaspreet Singh's work include Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (5 papers) and Protein Structure and Dynamics (4 papers). Jaspreet Singh is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (5 papers) and Protein Structure and Dynamics (4 papers). Jaspreet Singh collaborates with scholars based in Australia, China and India. Jaspreet Singh's co-authors include Kuldip K. Paliwal, Yaoqi Zhou, Jaswinder Singh, Thomas Litfin, Tongchuan Zhang, Andrew Busch, P. P. S. Gill and Satvir Kaur Grewal and has published in prestigious journals such as Bioinformatics, Scientific Reports and Journal of Chemical Information and Modeling.

In The Last Decade

Jaspreet Singh

9 papers receiving 205 citations

Peers

Countries citing papers authored by Jaspreet Singh

Since Specialization

Citations

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

Fields of papers citing papers by Jaspreet Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaspreet Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Jaspreet Singh. A scholar is included among the top collaborators of Jaspreet Singh 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 Jaspreet Singh. Jaspreet Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Deep learning techniques for deep fake identification: A review 2025 ·Jaspreet Singh, (unknown), (unknown)	0
2	Seasonal Variations in Biochemical and Antioxidant Properties in ‘Daisy’ Tangerine Fruits During Fruit Development 2023 ·Erwerbs-Obstbau ·(unknown), Jaspreet Singh, P. P. S. Gill, Satvir Kaur Grewal, (unknown)	2
3	SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model 2022 ·Bioinformatics ·Jaspreet Singh, Thomas Litfin, Jaswinder Singh, Kuldip K. Paliwal, Yaoqi Zhou	34
4	Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment 2022 ·Scientific Reports ·Jaspreet Singh, Kuldip K. Paliwal, Thomas Litfin, Jaswinder Singh, Yaoqi Zhou	32
5	Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling 2022 ·Bioinformatics ·Jaswinder Singh, Kuldip K. Paliwal, Thomas Litfin, Jaspreet Singh, Yaoqi Zhou	13
6	RNA Backbone Torsion and Pseudotorsion Angle Prediction Using Dilated Convolutional Neural Networks 2021 ·Journal of Chemical Information and Modeling ·Jaswinder Singh, Kuldip K. Paliwal, Jaspreet Singh, Yaoqi Zhou	15
7	SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks 2021 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Jaspreet Singh, Jaswinder Singh, Kuldip K. Paliwal, Andrew Busch, Yaoqi Zhou	1
8	SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning 2021 ·Bioinformatics ·Jaspreet Singh, Thomas Litfin, Kuldip K. Paliwal, Jaswinder Singh, (unknown), Yaoqi Zhou	29
9	Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning 2021 ·Bioinformatics ·Jaswinder Singh, Kuldip K. Paliwal, Tongchuan Zhang, Jaspreet Singh, Thomas Litfin, Yaoqi Zhou	63
10	Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network 2020 ·Bioinformatics ·(unknown), Jaswinder Singh, Kuldip K. Paliwal, Jaspreet Singh, Yaoqi Zhou	20

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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